Alternatives to Tellurium
Compare Tellurium alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Tellurium in 2026. Compare features, ratings, user reviews, pricing, and more from Tellurium competitors and alternatives in order to make an informed decision for your business.
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JetBrains Junie
JetBrains
Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time. Junie adapts seamlessly to your workflow, providing plans for execution and collaborating on complex coding tasks through different modes like code mode and ask mode. It understands project structure and logic, helping to find efficient solutions and maintain clean, production-ready code. Users can rely on Junie to run tests and verify changes, keeping projects stable and reducing compilation errors. With real-world examples from developers creating games and apps, Junie proves to be a versatile and intelligent assistant for coding projects of various scopes. -
2
Gemini Code Assist
Google
Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.Starting Price: Free -
3
WebLOAD
RadView Software
RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack. RadView WebLOAD.AI, is available as SaaS and can also be self-hosted on-premise or in the cloud. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms. With its smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues even for the most complex environments. This makes RadView WebLOAD the solution of choice for many performance experts. RadView WebLOAD has built-in integration into most of the popular Testing, CI/CD and APM tools. -
4
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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PyCharm
JetBrains
All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.Starting Price: $199 per user per year -
6
Gurobi Optimizer
Gurobi Optimization
With our powerful algorithms, you can add complexity to your model to better represent the real world, and still solve your model within the available time. Integrate Gurobi into your applications easily, using the languages you know best. Our programming interfaces are designed to be lightweight, modern, and intuitive, to minimize your learning curve while maximizing your productivity. Our Python API includes higher-level modeling constructs that make it easier to build optimization models. Choose from Anaconda Python distributions with pre-built libraries to support application development, Spyder for graphical development, and Jupyter for notebook-style development. -
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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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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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Arxspan
Arxspan
Arxspan's Electronic Lab Notebook is a fully integrated cloud platform for scientific data management that combines chemistry and biology data in one system. It is perfectly designed to enhance collaborative research across internal teams & external partners. Support for chemistry and biology experiments and workflows in single cloud ELN. Keyword, advanced, and chemical searching. Attachment and in-line editing for all Microsoft Office, image, and instrument files. Deployment in the private, secure Arxspan Cloud environment eliminates costly hardware acquisition, maintenance and IT overhead. Out of box integration with legacy electronic laboratory notebook systems. View and/or write sharing capabilities at notebook and project level. Configurable user role and permission hierarchies. Experiment signing and witnessing workflows. SAFE BioPharma compatibility for multi-factor capabilities. Support for validation of system and system updates. -
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SnapGene
SnapGene
Accurately design and simulate cloning procedures. Test complicated projects, catch errors before they happen, and obtain the right constructs the first time. Cloning is easier when you can see what you are doing. The intuitive interface offers you unparalleled visibility into your work, simplifying often complex tasks. SnapGene automates documentation, so you don’t have to. See and share every sequence edit and cloning procedure that led to your final plasmid. Improve your core molecular biology procedures, and improve your results. Master SnapGene and key concepts in cloning with our new online learning center, SnapGene Academy. Containing over 50 video tutorials taught by scientific experts, SnapGene Academy helps you advance your skills across multiple molecular biology courses. SnapGene 7.2 provides a new visualization of primer homodimer structures and enhancements to file management, allowing tabs to be organized in multiple windows using drag and drop.Starting Price: $295 per year -
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E-Notebook
PerkinElmer
It’s time to make your organization and its scientists more productive with our industry-leading e-notebook, the ideal user-friendly solution for data capturing, archiving, sharing, and protecting intellectual property. With this powerful and intuitive tool, you can drive enhanced collaboration, innovation, and productivity across your organization. Our E-Notebook solution for research and development provides a common workflow that embodies industry best practices for data capture, archiving, and intellectual property while creating a shareable archive to drive collaboration and innovation. There are specialized capabilities for chemistry, biology, formulations, and analytical workflow management, making it the perfect enterprise-wide solution for your organization. With E-Notebook you can more effectively plan, perform, and document experiments to avoid duplication of work and to maximize knowledge gained from experiments. -
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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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Cufflinks
Cole Trapnell
Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology. In order to make it easy to install Cufflinks, we provide a few binary packages to save users from the occasionally frustrating process of building Cufflinks, which requires that you install the libraries. Cufflinks includes a number of tools for analyzing RNA-Seq experiments. Some of these tools can be run on their own, while others are pieces of a larger workflow.Starting Price: Free -
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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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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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Collimator
Collimator
Collimator is a modeling and simulation platform for hybrid dynamical systems. We allow engineers to design and test complex, mission critical systems in a way that is reliable, secure, fast and intuitive. Our customers are electrical, mechanical and control systems engineers who are using Collimator to increase productivity, improve performance and collaborate more effectively. They do this using our out of the box features including an intuitive block diagram graphical editor, Python blocks to develop custom algorithms, Jupyter notebooks to parametrize and optimize their systems, high performance computing in the cloud and role based access controls. -
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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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WebDriverIO
WebDriverIO
WebdriverIO allows you to automate any application written with modern web frameworks such as React, Angular, Polymeror Vue.js as well as native mobile applications for Android and iOS. WebdriverIO not only runs automation based on the WebDriver protocol, it also leverages native browser APIs to enable integrations to popular developer tools such as Chrome DevTools orGoogle Lighthouse. With the plugin you have access to commands for validating if you app is a valid PWA application as well as to commands for capturing frontend performance metrics such as speedIndex and others. The WebdriverIO testrunner comes with a command line interface that provides a nice configuration utility that helps you to create your config file in less than a minute. It also gives an overview of all available 3rd party packages like framework adaptions, reporter and services and installs them for you! -
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GeoMx Digital Spatial Profiler (DSP)
nanoString
Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you. -
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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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ESMFold
Meta
ESMFold shows how AI can give us new tools to understand the natural world, much like the microscope, which enabled us to see into the world at an infinitesimal scale and opened up a whole new understanding of life. AI can help us understand the immense scope of natural diversity, and see biology in a new way. Much of AI research has focused on helping computers understand the world in a way similar to how humans do. The language of proteins is one that is beyond human comprehension and has eluded even the most powerful computational tools. AI has the potential to open up this language to our understanding. Studying AI in new domains such as biology can also give insight into artificial intelligence more broadly. Our work reveals connections across domains: large language models that are behind advances in machine translation, natural language understanding, speech recognition, and image generation are also able to learn deep information about biology.Starting Price: Free -
22
arXiv
arXiv
arXiv is a free distribution service and an open-access archive for 2,228,103 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv. arXiv provides an article submission portal, a TeX compilation service, search and discovery tools, web distribution for human readers,API access, machine readable data sets, and community-developed tools. Our emphasis on openness, collaboration, and scholarship provides the strong foundation on which arXiv thrives. The foundation of arXiv is based on open access, transparency, open mindedness, collaboration, and flexibility. Our institutional members, collaborators, moderators, authors, and readers are not passive recipients—they are arXiv.Starting Price: Free -
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Signals Notebook
Revvity Signals
Signals Notebook has a modern user interface like the ones on all your personal apps, the need for training is negligible. You will be up and running in no time. That’s part of the reason Signals Notebook is the electronic lab notebook of choice for companies as to whether it’s a team of 4-5 research scientists to the largest biotechs and pharmaceutical companies in the world. Flexibility and breadth to support wide range of workflows now and in the future — including both chemistry, biology, formulations, analytical sciences, and materials sciences. Over 1 million scientists at 4000 organizations count on Signals Notebook to help them streamline their workflows. Structured data capture with APIs and interfaces for integration with instruments, in-house systems, and databases. -
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tox
tox
tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software. tox is a generic virtualenv management and test command-line tool you can use for checking that your package installs correctly with different Python versions and interpreters, running your tests in each of the environments, configuring your test tool of choice, and acting as a frontend to continuous integration servers, greatly reducing boilerplate and merging CI and shell-based testing. First, install tox with pip install tox. Then put basic information about your project and the test environments you want your project to run in into a tox.ini file residing right next to your setup.py file. You can also try generating a tox.ini file automatically, by running tox-quickstart and then answering a few simple questions. Install and test your project against Python2.7 and Python3.6.Starting Price: Free -
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yarl
Python Software Foundation
All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.Starting Price: Free -
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Vertex AI Notebooks
Google
Vertex AI Notebooks is a fully managed, scalable solution from Google Cloud that accelerates machine learning (ML) development. It provides a seamless, interactive environment for data scientists and developers to explore data, prototype models, and collaborate in real-time. With integration into Google Cloud’s vast data and ML tools, Vertex AI Notebooks supports rapid prototyping, automated workflows, and deployment, making it easier to scale ML operations. The platform’s support for both Colab Enterprise and Vertex AI Workbench ensures a flexible and secure environment for diverse enterprise needs.Starting Price: $10 per GB -
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Neo Colab
iamneo.ai
Upgrade your computer science education standards with Neo Colab! Have our AI-driven state-of-the-art platform at your Institution and forget conventional laboratory setup. Routine learning sessions to provide sustainable programming knowledge for the students. Environment for students to have hands-on training with latest frameworks & technologies. Destination to the university journey. And all that the modern industry looks for is a tech-savvy person. Still carrying the burden of invigilation, evaluation and grading? Our AI-driven platform is there to relieve you! Download detailed student metrics with single-click operation and save them for future audits & review at ease. Track students' participation metric, performance standings, and their code stats. Tracking students status with Neo Colab’s unified dashboard is much simpler than the conventional way. You can see live metrics of students with live coding stats. -
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CryoTrack
CryoTrack
CryoTrackIMS is a complete software package - ideal for molecular biology, cell banks, cellular biology, clinical samples, biorepository, biobanking, biochemistry, immunology and protein labs, high-throughput screening, QA, IVF labs and core labs and facilities. Create any box, plate or pie configuration - select rows and columns or select a Pie configuration - your box is created in seconds ready to input data. Inventory of valuable biological samples and specimen is critical for basic research and biotech business. Keeping track of large numbers and types of samples (DNA, RNA, plasmids, clones, proteins, peptides, probes, antibodies, enzymes, specimen, tissues, cell lines and more) and where they are and their precise location is a nightmare and daunting task for many that cost a great deal not only in monetary terms but also leads to frustrations and time loss. CryoTrack offers a complete solution for individual labs in universities, clinics, biotech and pharmaceutical companies. -
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DeOldify
DeOldify
DeOldify is a state-of-the-art way to colorize black-and-white images. You can try it right now by visiting the free Google Colab notebook for photos or videos. The notebooks are open source and available to all. To see the evolution of DeOldify, check out the GitHub project and archive. For examples of the most cutting-edge work in restoration and colorization, please contact us. The best version of DeOldify is exclusively available on MyHeritage. MyHeritage provides several choices to ensure all your photos look their best in color. Share these vibrant images with your family and friends to delight them, and start your free trial today.Starting Price: Free -
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Refact.ai
Refact AI
Refact.ai is a cutting-edge, open-source AI coding assistant designed to enhance developer productivity through intelligent code completion, real-time code reviews, and personalized support. By integrating with popular IDEs like VS Code, JetBrains, and PyCharm, Refact.ai provides a seamless development experience, offering personalized auto-completion, code refactoring, and AI-driven suggestions based on your unique codebase. With the ability to fine-tune models using company-specific data, Refact.ai optimizes its performance for better accuracy and faster code generation. Whether you're building new features or improving existing code, Refact.ai ensures your development process is more efficient, secure, and aligned with best practices.Starting Price: $0 -
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TestNinja
TalentXpert
Next Gen Codeless Automation Testing For Web Apps. Now you can automate website testing work that you hate to do manually with codeless automation testing tool. Write powerful tests in a readable English-like language using a predefined set of commands. 100% codeless! Select the steps to automate repeated tasks so your team doesn’t have to think about them. Spend more energy on strategic work and leave the repetitive stuff. Eliminate complex setups and frameworks. Hybrid installations for better productivity and efficiency support three installations based on client needs. Write and execute single/multiple test individually and add to test cycle only once it works. Stop wondering what your tests are really doing. Get 100% visual step-by-step understanding by playing the step preview in just one click with automation testing. Easy to understand, real time test reports give you a comprehensive understanding of your testing activities. -
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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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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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FutureHouse
FutureHouse
FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc. -
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Edison Analysis
Edison Scientific
Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.Starting Price: $50 per month -
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Feen
Feen
Solve problems in all school subjects: Math, Statistics, Calculus, Physics, Chemistry, Biology, and more. Summarize long PDFs. Write essays.Starting Price: Free -
37
Lab Online
Analis
Lab Online is a next-generation open web based* platform designed by Moonchase with state-of-the-art technology. Developed "from scratch" by a Belgian team of engineers active in this field for more than 20 years, this LIS platform supports all of the prescription, execution and reporting processes for clinical biology analyzes. Lab Online includes more than 70 different modules offering for all actors in the clinical biology laboratory (internal and external) lab functionalities such as: instrument communication, automated result validation, quality control, on line consultation of results in real time and even more so. -
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Prism
TO THE NEW
Prism is a test-automation platform built to accelerate software testing for web, mobile, and API environments. The platform is designed for one-click setup via a web-based interface that guides users to choose their desired framework and integrates the necessary components automatically. A centralized dashboard displays real-time execution status of parallel test runs across multiple platforms, browsers, devices, emulators, and simulators. The solution includes AI/ML-powered reporting with more than 20 widgets to provide detailed insights into current and historical test executions, enabling slice-and-dice analytics on launch statistics, coverage metrics, failure trends, bug categories, and log exceptions. Prism features a machine-learning-based algorithm to filter out false failures, apply auto-analysis, pattern analysis, and error bucketing, reducing analysis effort by approximately 90%. -
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JetBrains Academy
JetBrains
Turn on the free educational features in your IDE to learn programming from scratch, expand your current skill set, or create your own interactive courses to share with others. With the JetBrains Academy plugin, you can learn and teach programming languages in the form of coding tasks and custom verification tests right inside JetBrains IDEs. Access over 100 courses in the most in-demand programming languages and technologies, and build real-world projects for your developer portfolio. Create your own courses by combining theoretical learning and hands-on practice. Test user knowledge with various sets of tasks, and provide extra assistance with feedback and hints. The JetBrains Academy plugin is free to use and supports Java, Kotlin, Python, Scala, JavaScript, Rust, C++, Go, and PHP with more languages to come. JetBrains Academy plugin is compatible with IntelliJ IDEA, PyCharm, WebStorm, Android Studio, CLion, GoLand, and PhpStorm.Starting Price: Free -
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AD Query
SysOp Tools
Completely free utility for Active Directory. Lookup a user or computer and view converted schema attributes that are normally not readable. A very handy tool for schema data lookup and comparison. No installer, just run the exe. 100% free utility for use in Active Directory domains. Search individual domain users and computer objects. View object Schema & LDAP data in one simple window. View binary Schema data in “human-readable” format. Easy lookup of email aliases, last login date, etc. Export search results to XML file, open with Excel. Small program size, super quick install. AD query software for user accounts is a great time-saving utility for the busy admin! AD Query is a free utility that allows quick and easy auditing of any user or computer object within Active Directory. Unlike the standard Users and Computers MMC, AD Query shows all data populated schema, LDAP and Exchange mail-enabled attributes for the user or computer object.Starting Price: Free -
41
Moonglow
Moonglow
Moonglow lets you run your local notebooks on a remote GPU as easily as changing your Python runtime. Avoid managing SSH keys, package installations, and other DevOps headaches. We have GPUs for every use case, A40s, A100s, H100s and more. Manage GPUs within your IDE. -
42
Gauntlt
Gauntlt
Gauntlt provides hooks to a variety of security tools and puts them within reach of security, dev and ops teams to collaborate to build rugged software. It is built to facilitate testing and communication between groups and create actionable tests that can be hooked into your deploy and testing processes. Gauntlt attacks are written in a easy-to-read language. Easily hooks into your org's testing tools and processes. Security tool adapters come with gauntlt. Uses unix standard error and standard out to pass status. There are two ways to get started with gauntlt. You can use the gem install method which will require you to download and setup the security tools (don't worry gauntlt walks you through it) or you can use the Gauntlt Starter Kit which is a vagrant script that will bootstrap the tools for you automagically. Security testing is usually done on the auditors' schedule and that testing output isn't always actionable. -
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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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MPCPy
MPCPy
MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.Starting Price: Free -
45
JetBrains Aqua
JetBrains
Aqua is the first IDE created specifically for test automation. It‘s an all-in-one workspace that supports Selenium, Cypress, and Playwright. Aqua is a polyglot IDE that understands Java, Python, JavaScript, TypeScript, Kotlin, and SQL. Get straight to testing without having to install and configure lots of plugins. Aqua boasts a unique feature set containing everything a test automation engineer needs on a daily basis. Aqua’s Web Inspector works like a built-in browser and allows you to capture any page element without switching to another tool. There is also the HTTP client for API testing and integration with databases, Docker, and version control. Aqua minimizes the hassle for even the most challenging tasks. The combination of intelligent code analysis, powerful search and refactoring capabilities, and overall ease of use enables you to boost your quality engineering productivity.Starting Price: $249 per year -
46
DM20.ai
DirectMail2.0
DM20.ai is an AI-powered predictive analytics and campaign optimization platform built specifically for the direct mail marketing industry that helps advertisers model, analyze, and improve their mail campaigns before committing to spend on printing and postage. It uses machine learning and explainable AI to benchmark user-input campaign plans (such as audience, format, creative elements, and dates) against thousands of similar historical direct mail campaigns in a proprietary database, then generates predictive performance insights and actionable recommendations tailored to direct mail nuances, including expected response ranges, strategic adjustments, and key factors driving outcomes. By combining techniques like feature engineering, ensemble modeling, and Monte Carlo simulation, DM20.ai produces human-readable optimization guidance that empowers marketers to refine offers, formats, and timing for better ROI.Starting Price: $79/month -
47
Partek Flow
Partek
Partek bioinformatics software delivers powerful statistical and visualization tools in an easy-to-use interface. Researchers of all skill levels are empowered to explore genomic data quicker and easier than ever before. We turn data into discovery®. Pre-installed workflows and pipelines in our intuitive point-and-click interface make sophisticated NGS and array analysis attainable for any scientist. Custom and public statistical algorithms work in concert to easily and precisely distill NGS data into biological insights. Genome browser, Venn diagrams, heat maps, and other interactive visualizations reveal the biology of your next-generation sequencing and array data in brilliant color. Our Ph.D. scientists are always just a phone call away and ready to help with your NGS analysis any time you have questions. Designed specifically for the compute-intensive needs of next-generation sequencing applications with flexible installation and user management options. -
48
TestMatch
Astadia
TestMatch is a transaction content comparison tool that provides automated testing of mainframe OLTP (terminal-based Online Transaction Processing applications). It can be used to facilitate the migration of such legacy applications to open systems, or it can provide an automated regression test suite for an application. All user interactions can be recorded centrally on an IBM or Siemens mainframe using standard tools (no client-side or server-side installation of Astadia's tools). Since recording is performed at the network level, it works regardless of the development technology. TestMatch visualizes test scenarios and sessions: this includes the terminal contents as well as all attributes that are typical for terminal-based applications, protected/editable, MDT bit, reverse-video, and colors. TestMatch can replay the recorded scenarios, either against the migrated application (as a migration testing tool) or against the original application (as a regression testing tool). -
49
PFLB
PFLB
PFLB is an AI-powered load testing platform where you can simulate massive traffic to your websites, and applications. It’s easy to use and super helpful for teams that want to ensure their product is ready to scale. Features: Realistic testing with scenario-based traffic simulation. Importing your production load profile with Google Analytics integration. Easy scripting with an intuitive no-code editor. Executing advanced JMeter scenarios at scale. Resolving bottlenecks with AI-powered performance insights. Discovering load testing results with Grafana dashboards. Protocols: HTTP, HTTPS, gRPC, JDBC, JMS, AMQP, MQTT, Kafka.Starting Price: $50/month -
50
Buildkite
Buildkite
Run the open-source buildkite-agent on your own infrastructure for maximum speed, control, and security. The agent checks out your source code, executes custom hooks and overrides, and then runs your build jobs. Your source code never leaves your infrastructure. You can install the agent using one of our packages and binaries for almost every platform and architecture, including Ubuntu, Debian, Mac, Windows, Docker, and more. The agent’s artifact and meta-data storage allows for share-nothing, state-free build jobs that can be easily distributed and scaled across any number of agents. Run as many build agents as you need (up to 10,000 connected per account), without breaking a sweat. The open-source Elastic CI Stack for AWS gives you an easy-to-maintain, elastically scaling CI stack in your own AWS account. Or if you prefer to roll your own, you can use the tools you’re already familiar with in your production environments (such as Packer and Terraform).Starting Price: $15 per user per month
