Marimo vs SageMath
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. | It is a reactive notebook for Python. It allows you to rapidly experiment with data and models, code with confidence in your notebook’s correctness, and productionize notebooks as pipelines or interactive web apps. |
A browser-based notebook for review and re-use of previous inputs and outputs, including graphics and text annotations;
A text-based command-line interface using IPython;
Support for parallel processing using multi-core processors, multiple processors, or distributed computing | Python-first design;
Rapidly experiment with code and models;
Bind UI elements to Python values;
Pick-up-and-play design, with depth for power users;
Built for collaboration |
Statistics | |
GitHub Stars - | GitHub Stars 16.8K |
GitHub Forks - | GitHub Forks 753 |
Stacks 11 | Stacks 1 |
Followers 30 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to SageMath, Marimo?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Apache Zeppelin
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.
Google Colaboratory
It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
Polynote
It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.
Franchise
Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.
Vayu
It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.
Starboard
It is fully in-browser literate notebooks like Jupyter Notebook. It's probably the quickest way to visualize some data with interactivity, do some prototyping, or build a rudimentary dashboard.
mljar Mercury
It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends.
Luminal
It is a new kind of Python notebook that makes it faster and easier to write Python scripts. It is built with static typing at its core from day one, it gives you the code insight you've always wanted.
