Alternatives to Kaggle

Compare Kaggle alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Kaggle in 2026. Compare features, ratings, user reviews, pricing, and more from Kaggle competitors and alternatives in order to make an informed decision for your business.

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    Bright Data

    Bright Data

    Bright Data

    Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant.
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    Oxylabs

    Oxylabs

    Oxylabs

    Oxylabs is a market leader in web intelligence with enterprise-grade, ethical, and compliant solutions. Its proxy infrastructure spans one of the largest global networks, offering residential, ISP, mobile, datacenter, & dedicated datacenter proxies, along with Web Unblocker – an AI-driven tool that ensures block-free access to even the most protected sites. On the scraping tools side, the Oxylabs Web Scraper API manages every stage of large-scale data extraction. For dynamic, bot-protected websites, the Headless Browser ensures uninterrupted access. Oxylabs also offers AI Studio, which lets users extract data without writing code. The ready-made datasets provide structured data across industries such as e-commerce, real estate, and more – for data projects without custom scraping. In short, Oxylabs offers 177M+ IPs in 195 countries & is trusted by 4000+ clients worldwide, including Fortune 500 companies. Plus, the 24/7 customer service ensures clients get support when needed.
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    DataHub

    DataHub

    DataHub

    We help organizations of all sizes to design, develop and scale solutions to manage their data and unleash its potential. At Datahub, we have over thousands of datasets for free and a Premium Data Service for additional or customised data with guaranteed updates. Datahub provides important, commonly-used data as high quality, easy-to-use and open data packages. Securely share and elegantly put data online with quality checks, versioning, data APIs, notifications & integrations. Power and simplicity, data is the fastest way for individuals, teams and organizations to publish, deploy and share structured data. Automate your data processes with our open source framework. Store, share and showcase your data with the world or just privately. Completely open source with professional maintenance and support. End-to-end solution with all parts are fully integrated. Not just tools but a standardized approach and pattern for working with your data.
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    OORT DataHub

    OORT DataHub

    OORT DataHub

    Data Collection and Labeling for AI Innovation. Transform your AI development with our decentralized platform that connects you to worldwide data contributors. We combine global crowdsourcing with blockchain verification to deliver diverse, traceable datasets. Global Network: Ensure AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity. Distributed and Transparent: Every piece of data is timestamped for provenance stored securely stored in the OORT cloud , and verified for integrity, creating a trustless ecosystem. Ethical and Responsible AI Development: Ensure contributors retain autonomy with data ownership while making their data available for AI innovation in a transparent, fair, and secure environment Quality Assured: Human verification ensures data meets rigorous standards Access diverse data at scale. Verify data integrity. Get human-validated datasets for AI. Reduce costs while maintaining quality. Scale globally.
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    DataCamp

    DataCamp

    DataCamp

    DataCamp for Business is an online learning platform that gives you the power to upskill everyone on your team—from non-coding essentials like BI tools to data science and machine learning. You're collecting more data than ever before, but do you have the skills to collect and analyze that data efficiently? Give your teams the 21st-century skills they need to work with data in the real world. DataCamp’s hands-on learning experience includes data skill assessments to track progress and provide personalized recommendations, interactive courses led by experts, practice challenges, and real-world projects. Our 350+ courses in 10+ technologies provide flexible online training for every role and skill level.
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    Starting Price: $300 per year
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    Google Colab
    Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation and learning. Colab also now offers a Data Science Agent automating analysis, from understanding the data to delivering insights in a working Colab notebook (Sequences shortened. Results for illustrative purposes. Data Science Agent may make mistakes.)
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    Hugging Face

    Hugging Face

    Hugging Face

    Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.
    Starting Price: $9 per month
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    Topcoder

    Topcoder

    Topcoder

    Topcoder is the world’s largest technology network and on-demand digital talent platform with more than 1.6 million developers, designers, data scientists, and testers around the globe. Topcoder empowers organizations including Adobe, BT, Comcast, Google, Harvard, Land O’Lakes, Microsoft, NASA, SpaceNet, T-Mobile, US Department of Energy, Zurich Insurance, and more, to accelerate innovation, solve challenging business problems and tap into hard-to-find technology skills. Topcoder was born in 2000. We’ve listened to our customers through the years and created 3 useful ways for you to engage and execute with our amazing talent. Incredible digital and technology talent, ready to work. Scope, start and execute work much faster. Better talent, better outcomes. It’s not rocket surgery. You’re not alone. Access traditional professional services if you want extra guidance. You don’t have to change. Tap open APIs and integrations to work in approved environments.
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    Jovian

    Jovian

    Jovian

    Start coding instantly with an interactive Jupyter notebook running on the cloud. No installation or setup required. Start with a blank notebook, follow-along with a tutorial or use a starter template. Manage all your projects on Jovian. Just run jovian.commit() to capture snapshots, record versions and generate shareable links for your notebooks. Showcase your best work on your Jovian profile. Feature projects, notebooks, collections, activities and more. Track changes in code, outputs, graphs, tables, logs and more with simple, intutive and visual notebook diffs. Share your work online, or collaborate privately with your team. Let others build upon your experiments & contribute back. Collaborators can discuss and comment on specific parts of your notebooks, with a powerful cell-level commenting inteface. A flexible comparison dashboard lets you sort, filter, archive and do much more to analyze ML experiments & results.
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    Deepnote

    Deepnote

    Deepnote

    Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
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    Gradient

    Gradient

    Gradient

    Explore a new library or dataset in a notebook. Automate preprocessing, training, or testing with a 2orkflow. Bring your application to life with a deployment. Use notebooks, workflows, and deployments together or independently. Compatible with everything. Gradient supports all major frameworks and libraries. Gradient is powered by Paperspace's world-class GPU instances. Move faster with source control integration. Connect to GitHub to manage all your work & compute resources with git. Launch a GPU-enabled Jupyter Notebook from your browser in seconds. Use any library or framework. Easily invite collaborators or share a public link. A simple cloud workspace that runs on free GPUs. Get started in seconds with a notebook environment that's easy to use and share. Perfect for ML developers. A powerful no-fuss environment with loads of features that just works. Choose a pre-built template or bring your own. Try a free GPU!
    Starting Price: $8 per month
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    MLJAR Studio
    It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.
    Starting Price: $20 per month
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    Mozilla Data Collective
    Mozilla Data Collective is a platform built to rebuild the AI-data ecosystem by putting communities at its center. It gives data-creators and stewards the power to share datasets on their own terms, retaining ownership and controlling who accesses their data and under what conditions. Users can upload datasets, choose licenses (such as Creative Commons or bespoke terms), set access rules, require compensation or recognition, and govern datasets as individuals, cooperatives, or trusts. The platform emphasises ethical stewardship, transparency, and community agency, challenging extractive models of data harvesting and enabling more equitable participation. It hosts more than 300 high-quality global datasets created by and for communities, covers a wide range of use-cases (for example, multilingual speech-data collections), and makes developer-friendly tools available (such as a public API) so datasets can be integrated into applications.
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    Coresignal

    Coresignal

    Coresignal

    Enhance your investment analysis or build data-driven products with Coresignal’s always fresh raw data of millions of professionals and companies from all over the world. Every month we update 291M high-value employee and firmographic records, so that you can always stay ahead of the competition. With up to 40 months' worth of data, our datasets can be used to test models and forecast trends, such as the growth of different industries and market sectors. Use Company data API to access, filter and query our main datasets directly or Real-Time API for on-demand retrieval of specific records straight from the public web. From investment companies to sourcing tools for recruiters, our business data is leveraged for a multitude of use cases. Regularly updated datasets are delivered in ready-to-use formats for your convenience. Boost your data-driven insights with parsed, ready-to-use data delivered in multiple formats.
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    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.
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    Azure Notebooks
    Develop and run code from anywhere with Jupyter notebooks on Azure. Get started for free. Get a better experience with a free Azure Subscription. Perfect for data scientists, developers, students, or anyone. Develop and run code in your browser regardless of industry or skillset. Supporting more languages than any other platform including Python 2, Python 3, R, and F#. Created by Microsoft Azure: Always accessible, always available from any browser, anywhere in the world.
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    IBM Watson Studio
    Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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    Kubeflow

    Kubeflow

    Kubeflow

    The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready.
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    Protect AI

    Protect AI

    Protect AI

    Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications. Enterprises must understand the unique threat surface of their AI & ML systems across the lifecycle and quickly remediate to eliminate risks. Our products provide threat visibility, security testing, and remediation. Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation.
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    Amazon SageMaker Model Building
    Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.
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    Conseris

    Conseris

    Kuvio Creative

    With your Conseris account, you can create as many datasets as you like for the same low monthly price. Clone your datasets with one click, or create different sets of fields for each new dataset. Type your data directly into the web app, or install our mobile app to collect your data without needing an Internet connection. Add unlimited free contributors and give them access to your dataset with a simple code. View your data from any angle. Unlimited filtering, automatic aggregation, and recommended visualizations show you the shape of your data without requiring you to build your own charts. Your work doesn’t stop when you leave the office, and neither should your data. We designed Conseris for the passionate researcher whose ideas don’t always fit between four walls. Whether you’re miles above the earth or away from the nearest village, Conseris won’t stop working until you do.
    Starting Price: $12 per user per month
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    JetBrains DataSpell
    Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.
    Starting Price: $229
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    Simpliaxis

    Simpliaxis

    Simpliaxis

    Simpliaxis is one of the leading professional certification training providing organization offering online instructor-led training and classroom programs for Project Management, , Service, Security, Technology, Business, and various other Quality Management related courses across the globe. Agile, DevOps, SAFe, Data Science Project management courses include PRINCE2 Foundation and Practitioner, PMP, CAPM & more; Agile courses include CSM, CSPO, CSD & more; DevOps courses include DevOps Foundation certification, CTF& more ; SAFe courses include Leading SAFe , SSM,SPC & More ; Data Science courses include Data Science With Python Bootcamp, PD,AL AND ML & more ; Technology courses include Angular JS , React Native Certification , React JS & more;
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    Opoint

    Opoint

    Opoint

    Opoint is a media intelligence company specializing in media monitoring and analysis across digital platforms. With advanced technology, Opoint tracks, collects, and analyzes vast amounts of online data in real time, allowing businesses to stay informed about their brand presence, reputation, and industry trends. The platform provides comprehensive insights by aggregating news articles, social media content, and other digital media sources. Opoint’s services are designed for organizations seeking to understand public sentiment, manage brand perception, and make data-driven decisions. Its customizable reports and alerts enable users to react promptly to relevant media events, enhancing strategic planning and public relations efforts. Enrich your CRM and enhance your data analytics by seamlessly integrating our search API. Make timely and informed trading decisions, tailored to your specific market interests.
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    JupyterLab

    JupyterLab

    Jupyter

    Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
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    Hopsworks

    Hopsworks

    Logical Clocks

    Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.
    Starting Price: $1 per month
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    Data & Sons

    Data & Sons

    Data & Sons

    Data & Sons is the world’s first open dataset marketplace that democratizes the exchange of information by enabling users to buy, sell, share, and request datasets through a unified, web-based platform. Sellers list datasets on the data & sons market, where buyers can discover and purchase them in a single click. Transactions are processed instantly, with sellers receiving payment upon each sale and the ability to resell datasets indefinitely. It also supports custom data requests and fulfillment workflows, allowing users to submit, track, and fulfill bespoke dataset orders. An intuitive interface guides users through listing, discovery, and transaction processes, while comprehensive tutorials, FAQs, and support resources ensure seamless onboarding. By vetting all datasets for privacy compliance and quality, Data & Sons provides a secure environment for data monetization and sharing.
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    Bloomberg Enterprise Data Catalog
    A meticulously curated suite of over 40,000 data fields, the Bloomberg Enterprise Catalog centralizes diverse enterprise datasets, including reference, regulatory, pricing, ESG, and alternative data, real-time market feeds, funds information, and investment research into a single, API-accessible source with customizable dashboards and integration connectors. Users can perform natural-language and field-level searches, subscribe to specific datasets, and visualize data lineage, usage metrics, and quality scores, while historical coverage spanning decades supports back-testing, trend analysis, regulatory reporting, and model validation. It delivers data via desktop, terminal, or RESTful API, integrates seamlessly with BI tools, cloud storage, and data lakes, and offers granular delivery options from tick-level pricing to aggregated statistics. Rigorous quality controls, standardized identifiers, and enterprise-grade SLAs ensure consistency, accuracy, and uptime.
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    Modelbit

    Modelbit

    Modelbit

    Don't change your day-to-day, works with Jupyter Notebooks and any other Python environment. Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs and merge requests. Bring your whole git workflow to your Python ML models. Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production. Sick of VPC configurations and IAM roles? Seamlessly redeploy your SageMaker models to Modelbit. Immediately reap the benefits of Modelbit's platform with the models you've already built.
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    DataHive AI

    DataHive AI

    DataHive AI

    DataHive provides high-quality, fully rights-owned datasets across text, image, video, and audio to power modern AI development. The platform sources, creates, and labels data through a global contributor network, ensuring accuracy, diversity, and commercial readiness. DataHive offers specialized datasets including e-commerce listings, customer reviews, multilingual speech, transcribed audio, global video collections, and original photo libraries. Each dataset is enriched with metadata such as pricing, sentiment, tags, engagement metrics, and contextual information. These resources support a wide range of use cases, from computer vision and ASR training to retail analytics, sentiment modeling, and entertainment AI research. Trusted by startups and Fortune 500 companies, DataHive is built to accelerate high-performance machine learning with reliable, scalable data.
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    Oracle Machine Learning
    Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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    TagX

    TagX

    TagX

    TagX delivers comprehensive data and AI solutions, offering services like AI model development, generative AI, and a full data lifecycle including collection, curation, web scraping, and annotation across modalities (image, video, text, audio, 3D/LiDAR), as well as synthetic data generation and intelligent document processing. TagX's division specializes in building, fine‑tuning, deploying, and managing multimodal models (GANs, VAEs, transformers) for image, video, audio, and language tasks. It supports robust APIs for real‑time financial and employment intelligence. With GDPR, HIPAA compliance, and ISO 27001 certification, TagX serves industries from agriculture and autonomous driving to finance, logistics, healthcare, and security, delivering privacy‑aware, scalable, customizable AI datasets and models. Its end‑to‑end approach, from annotation guidelines and foundational model selection to deployment and monitoring, helps enterprises automate documentation.
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    Codecademy

    Codecademy

    Codecademy

    Develop your team with technical training. Give your team the benefits of technical education — all in a scalable plan that works for your organization. Discounts are available for high-volume purchases. Request a personalized quote today. Give your team access to our full catalog, including interactive lessons, practice, and our brand new Skill Paths and Career Paths. We’ll curate a custom guide to our catalog based off of your team’s goals, and pair you with a dedicated coding expert to host chat-based help sessions. Team changes? No sweat — you’ll have unlimited flexibility to rotate licenses between employees. Plus, get weekly reports on your team’s learning progress. Level up specific concepts with skill paths and promote or hire from within with career paths. Manage multiple training programs with ease by assigning team members to different groups. Get access to our full course catalog and only assign content that fits your team’s needs.
    Starting Price: $19.99 per month
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    Jupyter Notebook

    Jupyter Notebook

    Project Jupyter

    The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
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    Senkrondata

    Senkrondata

    Senkrondata

    Senkrondata offers a comprehensive competitor intelligence platform that transforms unstructured market data into ready-to-use, industry-specific insights for strategic pricing decisions and revenue growth. It continuously monitors real-time price changes across millions of products, sending instant alerts for fluctuations and MAP compliance violations, while matching over 100 million items with 99 % accuracy through AI-driven digital shelf analytics. Users can access prebuilt datasets for fashion, electronics, automotive, cosmetics, food, and online travel, or request custom datasets tailored to their unique requirements, enriched with discount trends, buying patterns, new-arrival tracking, and inventory availability. Senkrondata’s advanced tools include natural-language Search for competitor pricing and market shifts; interactive dashboards for visualizing key metrics; and Know Your Customer to track changes across client portfolios.
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    Societeinfo

    Societeinfo

    Societeinfo

    Societeinfo’s Web Data module gives access to France’s most comprehensive web-to-SIREN repository, scraping and indexing millions of websites and social profiles linked to over 1.3 million SIREN numbers and updated daily with full GDPR compliance. Users can retrieve URLs, site descriptions, primary keywords, technology stacks (CMS, servers, ecommerce platforms, analytics, and marketing tools), social media accounts, and key metrics (follower counts, domain age, Alexa rank) across LinkedIn, Facebook, and Twitter. Intelligent filters enable precise segmentation by technology, web performance indicators, social presence, and geolocation, while natural-language and API-driven search, autocomplete, and high-volume services streamline prospecting workflows. Results can be enriched directly in CRMs via automated mapping, embedded modules, or exports to CSV. Customizable dashboards and real-time monitoring empower sales, marketing, and CRM teams to identify, qualify, and target prospects.
    Starting Price: €39 per month
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    Dataquest

    Dataquest

    Dataquest

    Dataquest gives your team access to the training they need to master everything from beginner data analytics concepts to advanced data visualization and machine learning. Whether your team members are just starting out or already have advanced knowledge, the Dataquest platform will help them build new skills fast. We’ve created clear learning paths that help users progress from one skill to the next in a logical way, so no time is wasted. We created Dataquest because we saw a need to push beyond the passive learning experience, driven by video lectures, that tricks students into thinking they're learning. Our hands-on, real-world approach challenges students, improves retention, and makes students accountable for learning. Let us set up a free pilot for your team. Give it a try, and you'll find our learning experience speaks for itself!
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    OpenWeb Ninja

    OpenWeb Ninja

    OpenWeb Ninja

    OpenWeb Ninja offers a comprehensive, real-time public data API stack that delivers fast, reliable web and SERP data via more than 30 specialized RESTful endpoints—accessible through RapidAPI with a free testing plan and no credit card required. Its portfolio includes APIs for local business data (Google Maps POI details, reviews and contact info), ecommerce (Amazon product searches, reviews, deals and seller metrics), job listings (aggregated from LinkedIn, Indeed, Glassdoor, ZipRecruiter and more), product search across major retailers, web search and Google SERP extraction, website contact scraping, financial market quotes, image search, news, events, Glassdoor employer insights, Zillow real-estate data, Waze traffic and hazard alerts, Google Play app rankings, Yelp business reviews, reverse image lookup and social-profile discovery, among others. Each API is optimized with unparalleled scraping technology for sub-two-second response times.
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    IdeaScale

    IdeaScale

    IdeaScale

    IdeaScale is the largest cloud-based innovation software platform in the world with more than 25,000 customers and 4.5 million users. The software allows organizations to involve the opinions of public and private communities by collecting their ideas and giving users a platform to vote. The ideas are then evaluated, routed, and implemented, making IdeaScale the engine of crowd-powered innovation. IdeaScale’s client roster includes, the Cleveland Cavaliers, Doctors Without Borders, Freddie Mac, Marriott Vacations Worldwide, NASA, the United Way, the US Air Force, and many others. IdeaScale is an innovation management solution that links organizations to people with ideas. Those ideas can change the world – not just your business. Find ideas to aid in digital transformation, to face the age of automation, to fight climate change, inequality and beyond. Connect to the ideas that matter and start co-creating the future.
    Starting Price: $2,500 per year
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    Hex

    Hex

    Hex

    Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Hex is a modern Data Workspace. It makes it easy to connect to data, analyze it in collaborative SQL and Python-powered notebooks, and share work as interactive data apps and stories. Your default landing page in Hex is the Projects page. You can quickly find projects you created, as well as those shared with you and your workspace. The outline provides an easy-to-browse overview of all the cells in a project's Logic View. Every cell in the outline lists the variables it defines, and cells that return a displayed output (chart cells, Input Parameters, markdown cells, etc.) display a preview of that output. You can click any cell in the outline to automatically jump to that position in the logic.
    Starting Price: $24 per user per month
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    Oracle Data Science
    A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.
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    Planview IdeaPlace
    Planview IdeaPlace is a leading idea management platform that enables users to crowdsource ideas for new products and markets in order to solve critical business challenges and streamline operational processes. Available globally with multi-language support, Planview IdeaPlace offers business crowdsourcing and innovation management within a suite and employs gamification strategies such as virtual currency, rewards, and game mechanics to drive user engagement. Key features include data visualization, crowd science algorithms, machine learning, automated idea graduation or processing, idea trading, and more. Join the 6M+ employees at 500+ enterprise companies that are using Planview IdeaPlace to bring the power of collective intelligence to every business challenge. Engage people around the world in moving your business forward. Planview IdeaPlace makes it easy to surface and develop ideas from employees as well as those outside your company.
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    JupyterHub

    JupyterHub

    JupyterHub

    With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.
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    Bazze

    Bazze

    Bazze

    Bazze is an AI-powered intelligence targeting and early-warning platform that transforms vast unclassified commercial data into mission-relevant insights on demand. Its Commercial Data Infrastructure (CDI) marketplace delivers real-time and historical datasets, ranging from device locations and satellite imagery to open source intelligence, via a “query in place” API model, eliminating the need for bulk purchases. Users can discover and integrate data from an expanding array of sources, apply advanced filtering and proprietary intent scores, and visualize results through custom dashboards or export them for downstream analysis. Specialized tools include reverse DNS mapping, geospatial event detection, trend tracking, threat scoring, and similarity searches to identify related entities. Everything is updated continuously and delivered on a consumption basis to optimize resource allocation.
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    DataProvider.com

    DataProvider.com

    DataProvider.com

    DataProvider.com provides a unified platform that transforms the open web into a structured, searchable database of over 700 million domains filtered by more than 200 variables and 10,000 values, with monthly updates and four years of historical data. Its core search engine lets you use natural-language queries and detailed filters alongside proprietary data scores to contextualize results. You can instantly access prebuilt “recipes” datasets, build custom dashboards, and enrich or expand your lists with business registry numbers, contact details, and registry data, even for inactive sites. Specialized tools include Know Your Customer for tracking domain changes across client lists; reverse DNS to map IP addresses to companies; traffic index for daily and monthly popularity metrics; SSL catalog for granular certificate insights; and technology detection via a browser extension to uncover hidden tech stacks.
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    News API

    News API

    News API

    Search worldwide news with code, locate articles, and breaking news headlines from news sources and blogs across the web with our JSON API. News API is a simple, easy-to-use REST API that returns JSON search results for current and historical news articles published by over 80,000 worldwide sources. Search through hundreds of millions of articles in 14 languages from 55 countries. Get JSON results with simple HTTP GET requests, or use one of the SDKs available in your language. Jump right into a trial if you're in development. No credit card is required. Search with singular keywords, or surround complete phrases with quotation marks for exact-match. Specify words that must appear in articles, and words that must not, to remove irrelevant results. Limit your searches to a single publisher by entering their domain name. Search through millions of articles from over 80,000 large and small news sources and blogs.
    Starting Price: $449 per month
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    Webz.io

    Webz.io

    Webz.io

    Webz.io finally delivers web data to machines the way they need it, so companies easily turn web data into customer value. Webz.io plugs right into your platform and feeds it a steady stream of machine-readable data. All the data, all on demand. With data already stored in repositories, machines start consuming straight away and easily access live and historical data. Webz.io translates the unstructured web into structured, digestible JSON or XML formats machines can actually make sense of. Never miss a story, trend or mention with real-time monitoring of millions of news sites, reviews and online discussions from across the web. Keep tabs on cyber threats with constant tracking of suspicious activity across the open, deep and dark web. Fully protect your digital and physical assets from every angle with a constant, real-time feed of all potential risks they face. Never miss a story, trend or mention with real-time monitoring of millions of news sites, reviews and online discussions.
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    Interview Kickstart

    Interview Kickstart

    Interview Kickstart

    Customizable tech interview prep courses designed by 500+ instructors and mentors. Get trained and mentored by tech leads, hiring managers, and recruiters from tech companies Sharpen your skills with technical and career coaching and 1:1 mentorship sessions with instructors. Live interview practice in real-life simulated environments with interviewers from tech companies. Constructive, structured, and actionable insights for improved interview performance. Company, level, and role-specific strategies based on real, proprietary data. Resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops. Our program is designed, taught, and continuously refined by tech experts and top hiring managers. Upskill with the latest AI skills and nail your next tech interview. Guided interview prep to level up into companies. All courses developed and taught by experienced FAANG instructors.
    Starting Price: Free
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    Twine

    Twine

    Twine

    Twine's global network of freelancers enables an unparalleled scale to simply outsource and helps companies build a more diverse and inclusive workforce. Our freelancers scale your creative output for all marketing channels such as graphic design, animation, video, copywriting and more. Scale your dev team with vetted freelancers with specialist skills and also improve team diversity to create better end results. Use our massive global network of freelancers to build voice, image and video training datasets that create better results for your ML. When posting your project, indicate your preference for diversity, and we will assist you in diversifying your team with our diverse global talent. Companies are increasingly requiring teams of contractors rather than just one freelancer. A solution that can scale from two freelancers to hundreds of freelancers is critical for growth.
    Starting Price: $139.99 per project
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    Anaconda

    Anaconda

    Anaconda

    Empowering the enterprise to do real data science at speed and scale with a full-featured machine learning platform. Spend less time managing tools and infrastructure, so you can focus on building machine learning applications that move your business forward. Anaconda Enterprise takes the headache out of ML operations, puts open-source innovation at your fingertips, and provides the foundation for serious data science and machine learning production without locking you into specific models, templates, or workflows. Software developers and data scientists can work together with AE to build, test, debug, and deploy models using their preferred languages and tools. AE provides access to both notebooks and IDEs so developers and data scientists can work together more efficiently. They can also choose from example projects and preconfigured projects. AE projects are automatically containerized so they can be moved between environments with ease.