Alternatives to Beaker Notebook
Compare Beaker Notebook alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Beaker Notebook in 2026. Compare features, ratings, user reviews, pricing, and more from Beaker Notebook competitors and alternatives in order to make an informed decision for your business.
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Lumio
SMART Technologies
Lumio is a web-based learning platform that offers more ways to effortlessly make learning fun and engaging on student devices. Whether educators have PDFs, Google Slides, PowerPoint, or Notebook files, Lumio effortlessly transforms them into dynamic, engaging learning experiences on any device. Take students on an interactive journey filled with activities, games, group workspaces, formative assessments, and more, all from a single place. Lumio is specifically designed to improve student outcomes – it’s not just fun, it works! For schools and districts looking for instructional consistency and more efficient workflows, Lumio’s Spark plan offers a library to house approved curriculum content, integration with LMS platforms, and the ability for teachers to collaborate on content for increased productivity with minimal effort. Note: Lumio was formerly known as SMART Learning Suite Online (SLSO)Starting Price: $59 per teacher/year (USD) -
2
Bokeh
Bokeh
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.Starting Price: Free -
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PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics. -
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marimo
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required 🔬 reproducible: no hidden state, deterministic execution, built-in package management 🏃 executable: execute as a Python script, parametrized by CLI args 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM 🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes 🐍 git-friendly: notebooks are stored as .py files ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and moreStarting Price: $0 -
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Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
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JetBrains DataSpell
JetBrains
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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Spark Streaming
Apache Software Foundation
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability. -
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IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
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Study Fetch
StudyFetch
StudyFetch is a revolutionary new platform that allows you to upload your course materials and create interactive study sets. You can study with an AI tutor, create flashcards, generate notes, take practice tests, and more. Spark.e, our AI tutor, allows you to interact directly with your study materials. You can ask questions, create flashcards, take practice tests, and customize your learning experience. StudyFetch's AI, Spark.e, utilizes advanced machine learning algorithms to offer a tailored, interactive tutoring experience. Once you upload your study materials, Spark.e scans and indexes them, making the content searchable and accessible for real-time queries. -
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MLJAR Studio
MLJAR
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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IOMETE
IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.Starting Price: Free -
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PyQtGraph
PyQtGraph
PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.Starting Price: Free -
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Positron
Posit PBC
Positron is a next-generation, free, open source available integrated development environment for data science, built to support both Python and R in one unified workflow. It enables data professionals to move from exploration to production by offering interactive consoles, notebook support, variables and plot panes, and built-in previews of apps alongside code, all without needing extensive configuration. The IDE includes AI-assisted tools like the Positron Assistant and Databot agent to help write or refine code, perform exploratory analysis, and accelerate development. It offers features like a dedicated Data Explorer for viewing dataframes, a connections pane for databases, a variables pane, a plot pane, and seamless switch between R and Python with full support for notebooks, scripts, and visual dashboards. With version control, extensions support, and deep integration with other tools in the Posit Software ecosystem.Starting Price: Free -
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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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Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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Spark Inspector
Spark Inspector
With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.Starting Price: $49.99 one-time payment -
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Orange
University of Ljubljana
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. -
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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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CredSpark
CredSpark
Most organizations aren’t experiencing a shortage of data. What they lack is a reliable way to generate data, insights, and audience engagement that can actually drive business results. Anyone can ask questions. CredSpark helps you ask the right questions while listening for your audience’s responses at scale. Learn how CredSpark is helping organizations move beyond just transactional data to build the data and insights that take their business to the next level. Answer a few questions with CredSpark's Thought Starter and we'll show you opportunities based on your interests, goals, and needs. Interested in learning more? Just let us know at the end and we'll reach out to develop a custom proposal for you. Our clients start with curiosity about their audience. With CredSpark, they’ve built ongoing conversations with individual audience members at scale, driving data, insights, interactions, and transactions. -
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RunMat
Dystr
RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing MATLAB code with complete language grammar and core semantics. No license fees, no lock-in. RunMat is built with a modern compiler, which enables blazing-fast calculations. It boots in 5 milliseconds, GPU optimization is enabled by default, and it's a single, compact, cross-platform binary. Typical engineering use cases - Controls/signal processing & numerics: accelerate MATLAB-style loops plus heavy linear algebra; enjoy faster iteration due to instant startup and tiered JIT. - Batch/CI & serverless jobs: snapshots + compact binaries make it easy to run .m workloads in containers or ephemeral runners at scale. - Plot-heavy workflows: interactive GPU plots for exploratory analysis and reportable exports for stakeholders. - Education: remove license friction and start labs instantly; Jupyter kernel supports reproducible worksheets.Starting Price: $0 -
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SPC XL
SigmaZone
XbarR, XbarS, Individuals, n, p, u, and np Charts. Update charts after they've been created. Identify outliers and have them displayed without affecting the control limiits. Histogram, Capability Analysis (Cpk), Scatter Plot (with regression fitting), Pareto, Dot Plot, Box Plots, Multiple Regression, Hypothesis Testing, Confidence Intervals, and Sample Size Calculations. Measurement System Analysis (Gage R&R) for both Quantitative and Binomial Data, Cause and Effect Diagram, Main Effects Plots, Cusum, Product Capability, FMEA, and Distribution Calculators. -
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GitHub Spark
GitHub Spark
We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences. -
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Spark Voicemail
Spark
Spark Voicemail revolutionises your voicemail experience, making it effortless to retrieve and respond to voicemails. Spark Pay Monthly mobile users can install and use the Spark Voicemail app for free as part of their plan. Spark Prepay users need to activate the ‘Voicemail Unlimited’ extra for $1 per 4 weeks, which offers unlimited App and Voicemail use. So you can boost your responsiveness by also sending voicemails to your assistant or team to respond on your behalf! Don't worry; you can filter out calls from personal contacts. With our built-in automatic transcription service, Spark Voicemail makes your voicemails effortlessly searchable. Spark Voicemail lets you easily record a new one. Change it every season, or if you're away on holiday.Starting Price: Free -
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Deequ
Deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library. -
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GPT‑5.3‑Codex‑Spark
OpenAI
GPT-5.3-Codex-Spark is an ultra-fast coding model designed for real-time collaboration inside Codex. Built as a smaller version of GPT-5.3-Codex, it delivers over 1000 tokens per second when served on low-latency Cerebras hardware. The model is optimized for interactive coding tasks, enabling developers to make targeted edits and see results almost instantly. With a 128k context window, Codex-Spark supports substantial project context while maintaining speed. It focuses on lightweight, precise edits and does not automatically run tests unless prompted. Infrastructure upgrades such as persistent WebSocket connections significantly reduce latency across the full request-response pipeline. Released as a research preview for ChatGPT Pro users, Codex-Spark marks the first milestone in OpenAI’s partnership with Cerebras. -
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Apache Kudu
The Apache Software Foundation
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use. -
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Google Colab
Google
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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Google Charts
Google
Google chart tools are powerful, simple to use, and free. Try out our rich gallery of interactive charts and data tools. Choose from a variety of charts. From simple scatter plots to hierarchical treemaps, find the best fit for your data. Make the charts your own. Configure an extensive set of options to perfectly match the look and feel of your website. Cross-browser compatibility (adopting VML for older IE versions) and cross-platform portability to iOS and new Android releases. No plugins are needed. Connect to your data in real-time using a variety of data connection tools and protocols. Use the same chart tools Google uses, completely free and with three years' backward compatibility guaranteed. Easily connect charts and controls into an interactive dashboard. -
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SparkResto
Shrivra
Serve all your valued customers with up-to-date with preferences and diner history available on just a click. SparkResto offers real-time sales reports & analytics, allowing restaurants to offer the best possible dining experience to customers. It is packed with numerous amazing features & functionalities. So, when you use it, you will be surprised to know that this simple, but highly useful CRM software can automate most activities of your restaurant business & give some respite to you in your busy life. SparkResto is popular among entrepreneurs for its real-time monitoring feature. If a cashier is billing the table “A”, its details will be shown automatically on other PC. It allows them to serve customers accordingly, avoid mistakes in billing, and manage specific seating arrangements demanded by customers. SparkResto acts as a multipurpose POS system. Just use it to access a real-time detailed report of sales every day, week, and month, know which products are being sold.Starting Price: $49 per month -
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Spark
Spark RE Technologies
Digital contracts integrated into your CRM and marketing. One log-in for your entire sales and marketing process eliminates the need for multiple platforms. Designed for the real estate industry, Spark helps your team run the entire sales process from inventory management to contract generation. Every developer rates contacts differently, and roles differ from team to team. Customize Spark to your workflow and process without interrupting progress. Whether it's condos, townhomes, master planned communities, single family homes or apartments — Spark provides the platform required to sell, market, close and report on your entire portfolio of new development projects. From first contact, we prioritize your objectives and adapt the platform to your team's needs and regional processes. Our consultative approach starts with establishing an onboarding & training plan your whole team will buy into. -
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SparkInfluence
SparkInfluence
SparkInfluence helps the most successful government affairs and public relations teams better educate, engage, and empower their networks to act. SparkInfluence is an all-in-one, mobile-friendly software platform with the most advanced toolset on the market. Build your data-driven effort today and start getting the most out of your audience. SparkInfluence is a simple, easy-to-use software to help you build a better advocacy effort, PAC, or online community. Combining the best of grassroots advocacy tools alongside fundraising, CRM, PAC, grasstops, and more, SparkInfluence has all the functionality you need to track, manage, educate, engage, and empower your audience. Each product in the software platform is powerful on its own, but the real magic happens when you combine them together. SparkPAC is the most advanced PAC software on the market. -
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ReSpark
ReSpark
ReSpark is a professional, cloud-based salon and spa software built for modern beauty businesses. Whether you run a hair salon, spa, or beauty clinic, ReSpark helps you simplify daily operations, improve staff efficiency, and boost overall profits. From appointments to payments, marketing to inventory—ReSpark automates it all so you can focus on what matters most: your clients. ReSpark is an all-in-one salon management system that includes POS & Billing, Online Appointments & Dashboard, CRM & Client Profiles, Memberships & Packages, E-Commerce Integration, Inventory Management, Digital Catalog, Campaign Creator & WhatsApp Marketing, Feedback & Loyalty Programs, and Advanced Reports & Analytics. ReSpark salon software supports everything you need—from managing daily tasks to scaling your business online. -
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GuideSpark
GuideSpark
GuideSpark is the leader in change communications guiding over 1,000 enterprise customers to business success by changing the hearts and minds of employees. GuideSpark Communicate Cloud® drives organizational change with communication journeys, targeted experiences that reach, engage and change employee behavior to achieve your critical business goals. Manage, measure and scale your internal communications effectiveness with GuideSpark. -
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Spark
RebelWare
Spark is our fully customizable landing page-builder that presents content in a format tailor-made for specific audiences across a broad range of applications — contact forms, sales enablement, welcome, and onboarding. We created Spark to deliver one thing really well: send information to key audiences in a fast, consistent, branded, engaging, and trackable way. Spark places all of your sales engagement materials directly in your sales team’s hands, the lag time in waiting for a response. Spark can help in any situation that requires quick, customizable presentation of documents, including sales, marketing, training, compliance, HR and more. -
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sparkPRO
Quality Early Years
sparkPRO is designed to be efficient and promote the well-being of a team in any setting. sparkPRO is more than a learning journey; the features support your team with the Early Year Foundation Stage and curriculum delivery. A leading EYFS curriculum software package, sparkPRO organizes staff time, systematizes procedures, provides ongoing EYFS assessment with a focus on quality during delivery. It provides incredible financial savings, operationally by cutting down on planning, observation, assessment and recording times. Tangibly you will save on ink and paper costs. sparkPRO not only incorporates the whole of our sparkESSENTIAL package, it also includes additional features and advanced reporting options. Supports whole team to deliver a curriculum and ‘get it right’ for each child, assessment, planning, recording and evaluating personal practice. Support your staff welfare, manage time, increase standards, allow more time to meet individual needs. -
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Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.Starting Price: $0.0085 per GB per hour
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codeSpark Academy
codeSpark Academy
codeSpark Academy is the most used home coding program for kids 5-9! codeSpark Academy has introduced over 30 million kids in 190 countries to the ABCs of computer science and our lovable coding characters, the Foos. codeSpark Academy uses a patent pending "no words" interface to teach the basics of computer programming and essential coding skills through a variety of interactive learning activities including puzzles, games, step-by-step creative projects, game design and offline printables, all of which can be monitored by parents. Kids learn key programming concepts and use them to code their own projects in the Game Maker. Personalized daily activities based on your child’s progress. Curriculum developed based on collaboration with and research from MIT, Princeton and Carnegie Mellon. Perfect for pre-readers, ELL students and kids with reading and focus-related challenges. No written communication between players or external parties. -
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SparkBuilt
SparkBuilt
SparkBuilt helps founders escape blank canvas paralysis. It automates the first two weeks of dev so you can turn ideas into deployable web apps in few minutes. It generates full stack code (React, Vite, Tailwind, Convex, Clerk), AI pitch slides, market analysis, and a ready tech stack you can export to GitHub. Perfect for workers validating ideas, founders pitching fast, hackathon teams, and students. Stop stitching together fragmented tools. Most founders burn runway paying for separate UI builders, deck generators, and research tools before they even launch. SparkBuilt is the first Unified Venture Engine that builds your Product (Full-Stack MVP), Narrative (Investor Deck), and Strategy (Market Research) simultaneously from a single shared context. True Ownership, No Lock-In. We don't hold your code hostage. Unlike "walled garden" builders, SparkBuilt lets you Export to GitHub or Deploy to your own Vercel account instantly. You own the code, the keys, and the IP from Day 1.Starting Price: $49 -
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Walmart Spark
Walmart
Available in more than 600 cities, Spark Driver makes it possible for service providers to earn money by shopping and delivering customer orders from Walmart and other retailers. It’s simple: customers place their orders online; orders are distributed to service providers through the Spark Driver App, and service providers accept to complete the order delivery! Flexibility, convenience, and simplicity, all you need is a car and a phone! Visit the Join Spark Driver tab on the Spark Driver website to view the service area map, select your preferred area, and complete the enrollment form. Once your information has been submitted for review, you will receive a confirmation email from our third-party administrator, Delivery Drivers, Inc. (DDI), which will provide details on how to complete the enrollment and create your Spark Driver account. Background check results are typically available within 2-7 business days, depending on state and county processes. -
41
WebSparks
WebSparks.AI
WebSparks is an AI-powered platform that enables users to transform ideas into production-ready applications swiftly and efficiently. By interpreting text descriptions, images, and sketches, it generates complete full-stack applications featuring responsive frontends, robust backends, and optimized databases. With real-time previews and one-click deployment, WebSparks streamlines the development process, making it accessible to developers, designers, and non-coders alike. WebSparks is a full-stack AI software engineer.Starting Price: $15/month -
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AI Sparks Studio
Daniel Dorotík
AI Sparks Studio is a user-friendly interface designed to help you efficiently utilize your own API access to state-of-the-art AI models. You can engage in expert discussions with LLMs like OpenAI’s ChatGPT or GPT-4, convert speech to text using the Whisper model, and transform discussions into lifelike speech audio with the ElevenLabs service. AI Sparks Studio gives you full control over your AI interactions. You can manage the model’s context memory limitation and have clear insight into its usage, limit, and the estimated cost of generation. You can specify which LLM to use for text generation and control every parameter the API provides. You can branch out a discussion from any point to experiment with different AI models or settings. AI Sparks Studio makes it easy to monitor your ElevenLabs service usage and manage your monthly quota. All discussions are stored locally, ensuring data security.Starting Price: $0 -
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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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Spark.work
Spark.work
Spark.work is a platform that unites HR Management (HRMS) and Strategy Execution. Designed for growing companies, Spark helps leaders gain clarity and efficiency in people operations, then leverages that foundation to align and execute strategy across the organization. What Spark.work Offers Spark simplifies HR processes while connecting them directly to business goals: People Management: Centralized employee data, leave and attendance tracking, onboarding/offboarding workflows, document management, and visual organization charts. Talent & Growth: Applicant Tracking System (ATS), performance reviews, employee feedback, and development planning. Strategy & Performance: Strategy maps, OKRs, KPIs, and initiatives — all linked back to people and teams. AI Assistance: Smart agents that support KPI/OKR setup, surface insights, and automate repetitive tasks.Starting Price: $1.5 month/per user -
45
SparkLoop
SparkLoop
Thousands of smart newsletter creators use SparkLoop to get more, high-quality email subscribers on autopilot. You should too. With SparkLoop it's easy to reward your subscribers for sharing your newsletter with their friends. So you grow faster, improve subscriber engagement, and spend less money and time on growth. Unlike other referral tools, SparkLoop was built for newsletters. So you can set up your powerful referral program, exactly like Morning Brew, in just a few clicks. No developers, code or Zapier hacks needed! Give all your subscribers a unique referral link, right inside your newsletter. Incentivize your subscribers to share their referral link with rewards and giveaways. Watch your audience grow your email-list for you, from your SparkLoop dashboard. The biggest and best newsletters on the web trust SparkLoop to help them grow. With advanced fraud prevention, full white-label and enterprise-grade security, we're the only solution you can trust.Starting Price: $99 per month -
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Spark Hire
Spark Hire
Spark Hire is an easy to use video interviewing platform with 5,000+ organizations conducting video interviews in over 100 countries. Since launching in 2012, Spark Hire has become the fastest growing video interviewing platform. Organizations of all sizes are utilizing Spark Hire to make better hires faster than ever before. All plans include unlimited one-way and recorded live video interviews with no contracts or setup fees. Sign up in under 2 minutes or request a demo to learn more today!Starting Price: $119.00 USD per month -
47
CData Python Connectors
CData Software
CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/ -
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Spark Cloud Studio
Spark Cloud Studio
Spark Cloud Studio is a cloud-native platform that delivers high-performance computing remotely, replacing the need for powerful local machines with instant access to scalable virtual workstations, unlimited secure storage, and on-demand CPU/GPU power for rendering and compute tasks all from your browser or desktop app. Its core products include Spark ProStation™ cloud workstations with customizable hardware and pre-installed creative and technical tools, Spark ShareSync™ unlimited encrypted file storage with real-time sync and versioning across devices, Spark SmartCompute™ scalable render farm resources that spin up on demand for heavy workloads, and a full creative stack ready to launch without installs. It supports collaboration with real-time file sharing and team management, integrates with existing tools and pipelines, and offers low-latency global access on virtually any device.Starting Price: $0.99 per hour -
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Spark NLP
John Snow Labs
Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.Starting Price: Free -
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Blackberry Spark
BlackBerry
Trusted Unified Endpoint Security and Unified Endpoint Management. BlackBerry Spark® offers visibility and protection across all endpoints, including personal laptops and smartphones used for work. It leverages AI, machine learning and automation to provide improved cyber threat prevention. BlackBerry Spark includes a comprehensive Unified Endpoint Security (UES) layer that seamlessly works with BlackBerry Unified Endpoint Management (UEM) to deliver Zero Trust security with Zero Touch experience. But one size rarely fits all, especially with a remote workforce using devices that may or may not be owned by your organization. That's why BlackBerry Spark Suites are available with a range of offerings to meet your needs for UEM and/or UES. BlackBerry Spark offers the broadest set of security capabilities, management tools and visibility covering people, devices, networks, apps, and automation.
