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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1
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. -
2
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.) -
3
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 -
4
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. -
5
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. -
6
ESMC
Biohub
ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.Starting Price: Free -
7
ESPResSo
ESPResSo
ESPResSo, the Extensible Simulation Package for Research on Soft Matter, is a highly versatile open source simulation package for performing and analyzing scientific molecular dynamics and Monte Carlo many-particle simulations. It is designed as a universal tool for simulating a variety of soft matter systems, especially coarse-grained atomistic or bead-spring models used in physics, chemistry, molecular biology, and process engineering. ESPResSo can be used to simulate polymers, liquid crystals, colloids, polyelectrolytes, ferrofluids, gels, biological systems, DNA, lipid membranes, bacterial motion, and super-capacitors. In coarse-grained models, a group of atoms or molecules is treated as a single bead, allowing researchers to investigate larger time and length scales than would be practical with fully atomistic simulations. ESPResSo supports classical molecular dynamics simulations in different statistical ensembles.Starting Price: Free -
8
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 -
9
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. -
10
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. -
11
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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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. -
13
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 -
14
Claude Science
Anthropic
Claude Science is an AI-powered scientific research application that helps researchers perform data analysis, literature review, computational workflows, and manuscript preparation within a single environment. Built on Claude models, the application integrates scientific databases, research tools, electronic lab notebooks, HPC systems, and domain-specific software to support end-to-end research workflows. It manages computational environments across local machines, Linux systems, and high-performance computing clusters while maintaining reproducible records of every analysis. Researchers can generate publication-quality figures, perform complex analyses, and trace every result back to the underlying code, environment, and conversation. Claude Science also supports specialized fields including genomics, proteomics, single-cell biology, structural biology, and cheminformatics through preconfigured scientific capabilities. -
15
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. -
16
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. -
17
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 -
18
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! -
19
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 -
20
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. -
21
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 -
22
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. -
23
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. -
24
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 -
25
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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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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27
PrepGo
PrepGo
PrepGo is an AI-powered AP exam preparation platform designed to help students study more effectively for Advanced Placement courses and exams. The platform offers expert-verified study guides, smart flashcards, AP-style quizzes, and full-length mock exams organized by units and topics for structured learning. PrepGo uses spaced repetition technology to improve retention and help students master difficult concepts over time. The platform covers popular AP subjects such as AP U.S. History, AP Biology, AP Calculus AB, AP Chemistry, AP World History, and AP English Literature. Students can track their progress, identify weak areas, and build confidence through practice quizzes and simulated AP exams. PrepGo’s content is created and reviewed by experienced AP teachers and top-scoring students to ensure accuracy and alignment with AP curriculum standards. The platform also includes motivational features like streaks, achievements, and community engagement through its Discord server. -
28
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. -
29
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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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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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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Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.Starting Price: $10 per GB
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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. -
34
NAMD
Theoretical and Computational Biophysics Group
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. Based on Charm++ parallel objects, it scales from desktop and laptop computers to high-end parallel platforms, hundreds of cores for typical simulations, and beyond 500,000 cores for the largest simulations. NAMD is built for researchers who need to simulate large molecular systems efficiently while preserving compatibility with widely used molecular modeling workflows. It uses the popular molecular graphics program VMD for simulation setup and trajectory analysis, and it is file-compatible with AMBER, CHARMM, and X-PLOR. It is designed to support biomolecular simulations involving proteins, membranes, nucleic acids, solvents, ions, and other molecular systems where atomic interactions and time-dependent motion need to be studied in detail.Starting Price: Free -
35
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 -
36
ProxyAI
ProxyAI
ProxyAI is an AI-powered coding assistant designed to integrate directly into development environments, particularly JetBrains IDEs such as IntelliJ, PyCharm, and WebStorm. It provides context-aware code suggestions, automates repetitive programming tasks, and enables developers to interact with AI models directly within their workflow, improving speed and efficiency. It supports multiple large language model providers, allowing users to choose which models power their experience and giving flexibility in performance, cost, and capabilities. It includes features such as generating and applying diff patches to edit code across one or multiple files, eliminating the need for manual copying and pasting and streamlining code changes. ProxyAI acts as a unified interface for AI-assisted development by connecting to different AI services and making them accessible through a single tool, while maintaining control over data and code ownership.Starting Price: $20 per month -
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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%. -
38
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 -
39
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. -
40
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. -
41
Conspecta
Conspecta
Conspecta is a browser-based research platform that brings microscopy image analysis, flow cytometry, molecular biology, sample tracking, and publication-ready figures into one connected workspace. It replaces the patchwork of disconnected tools most labs assemble, so a lab's data, samples, and results stay linked from experiment to figure with full traceability. Built for imaging-heavy and flow-heavy biology labs, new PIs, and early-stage biotech. Research-focused, not regulated or clinical. Free for individuals. Paid team plans add shared workspaces.Starting Price: $350/month -
42
GPT-Rosalind
OpenAI
GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows. -
43
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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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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Feen
Feen
Solve problems in all school subjects: Math, Statistics, Calculus, Physics, Chemistry, Biology, and more. Summarize long PDFs. Write essays.Starting Price: Free -
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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 -
47
SpyderWash
Setomatic Systems
The success of a Laundromat, Multi-housing Laundry Room or any other Laundry facility depends on many key factors. Whether it’s deciding how many machines to install, what brand of machines, or what forms of payment to accept, each decision is critical to your success. Since 1968, Setomatic Systems has created products to help you achieve your ultimate goal of financial success. That is why we created the SpyderWash Payment System- the most advanced payment system in the Laundry Industry today. With SpyderWash, customers can pay for their laundry the same way they pay for everything else they buy, no matter their payment preference. Customers can also be automatically enrolled in your loyalty programs and earn a free wash or dry, without downloading an app, buying a separate laundry card or going through a registration process. -
48
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 -
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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. -
50
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