The best free alternative to Google Colab is Jupyter, which is also Open Source. If that doesn't suit you, our users have ranked more than 10 alternatives to Google Colab and 12 is free so hopefully you can find a suitable replacement. Other interesting free alternatives to Google Colab are Zasper, Jupyterlab, GitNotebooks and Livebook.
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much...
A powerful IDE for data science, Zasper excels with massive concurrency support, enabling numerous simultaneous connections, minimal memory usage, and speedy performance. Suited for REPL-style data apps like Jupyter notebooks, fully supported on Mac with limited Linux support.
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users.
The best Jupyter Notebook review tool with rich diffs, comment support, Markdown, and a lot more.
Livebook is a web application for writing interactive and collaborative code notebooks. Code notebooks with Markdown support and Code cells where Elixir code is evaluated on demand.
Briefer is the multiplayer notebook that lets you run SQL and Python, and turn notebooks into dashboards and data apps.
Wolfram Language is a symbolic language, deliberately designed with the breadth and unity needed to develop powerful programs quickly. By integrating high-level forms—like Image, GeoPolygon or Molecule—along with advanced superfunctions—such as ImageIdentify or...
MINEO is the platform to explore your data, build, deploy and share data apps based on supercharged Python Notebooks powered by Code, No-code & AI.
Deepnote is a collaborative data science notebook built for teams that is shareable, Jupyter-compatible, and runs in the cloud.
Web-based cloud computing (SaaS) and course management platform for computational mathematics.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
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