marimo

Transform data, train models, and run SQL with marimo — feels like a next-gen reactive notebook, stored as Git-friendly reproducible Python. Deploy as scripts, pipelines, endpoints, and apps. All from an AI-native editor (or your own).

https://github.com/marimo-team/marimo

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found .zenodo.json file
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    3 of 135 committers (2.2%) from academic institutions
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  • Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary

Keywords

artificial-intelligence dag data-science data-visualization dataflow developer-tools machine-learning notebooks pipeline python reactive sql web-app

Keywords from Contributors

closember cryptocurrencies autopep8 codeformatter formatter gofmt pre-commit-hook yapf

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 4 months ago · JSON representation

Repository

Transform data, train models, and run SQL with marimo — feels like a next-gen reactive notebook, stored as Git-friendly reproducible Python. Deploy as scripts, pipelines, endpoints, and apps. All from an AI-native editor (or your own).

Basic Info
  • Host: GitHub
  • Owner: marimo-team
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage: https://marimo.io
  • Size: 154 MB
Statistics
  • Stars: 15,711
  • Watchers: 59
  • Forks: 675
  • Open Issues: 471
  • Releases: 0
Topics
artificial-intelligence dag data-science data-visualization dataflow developer-tools machine-learning notebooks pipeline python reactive sql web-app
Created over 2 years ago · Last pushed 4 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Codeowners Security Governance

README.md

A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.

Docs Discord Examples Gallery YouTube

English | | | | Espaol

discord Pepy Total Downloads Conda Downloads

marimo is a reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells (or marks them as stale), keeping code and outputs consistent. marimo notebooks are stored as pure Python (with first-class SQL support), executable as scripts, and deployable as apps.

Highlights.

python pip install marimo && marimo tutorial intro

Try marimo at our online playground, which runs entirely in the browser!

Jump to the quickstart for a primer on our CLI.

A reactive programming environment

marimo guarantees your notebook code, outputs, and program state are consistent. This solves many problems associated with traditional notebooks like Jupyter.

A reactive programming environment. Run a cell and marimo reacts by automatically running the cells that reference its variables, eliminating the error-prone task of manually re-running cells. Delete a cell and marimo scrubs its variables from program memory, eliminating hidden state.

Compatible with expensive notebooks. marimo lets you configure the runtime to be lazy, marking affected cells as stale instead of automatically running them. This gives you guarantees on program state while preventing accidental execution of expensive cells.

Synchronized UI elements. Interact with UI elements like sliders, dropdowns, dataframe transformers, and chat interfaces, and the cells that use them are automatically re-run with their latest values.

Interactive dataframes. Page through, search, filter, and sort millions of rows blazingly fast, no code required.

Generate cells with data-aware AI. Generate code with an AI assistant that is highly specialized for working with data, with context about your variables in memory; zero-shot entire notebooks. Customize the system prompt, bring your own API keys, or use local models.

Query data with SQL. Build SQL queries that depend on Python values and execute them against dataframes, databases, lakehouses, CSVs, Google Sheets, or anything else using our built-in SQL engine, which returns the result as a Python dataframe.

Your notebooks are still pure Python, even if they use SQL.

Dynamic markdown. Use markdown parametrized by Python variables to tell dynamic stories that depend on Python data.

Built-in package management. marimo has built-in support for all major package managers, letting you install packages on import. marimo can even serialize package requirements in notebook files, and auto install them in isolated venv sandboxes.

Deterministic execution order. Notebooks are executed in a deterministic order, based on variable references instead of cells' positions on the page. Organize your notebooks to best fit the stories you'd like to tell.

Performant runtime. marimo runs only those cells that need to be run by statically analyzing your code.

Batteries-included. marimo comes with GitHub Copilot, AI assistants, Ruff code formatting, HTML export, fast code completion, a VS Code extension, an interactive dataframe viewer, and many more quality-of-life features.

Quickstart

The marimo concepts playlist on our YouTube channel gives an overview of many features.

Installation. In a terminal, run

bash pip install marimo # or conda install -c conda-forge marimo marimo tutorial intro

To install with additional dependencies that unlock SQL cells, AI completion, and more, run

bash pip install marimo[recommended]

Create notebooks.

Create or edit notebooks with

bash marimo edit

Run apps. Run your notebook as a web app, with Python code hidden and uneditable:

bash marimo run your_notebook.py

Execute as scripts. Execute a notebook as a script at the command line:

bash python your_notebook.py

Automatically convert Jupyter notebooks. Automatically convert Jupyter notebooks to marimo notebooks with the CLI

bash marimo convert your_notebook.ipynb > your_notebook.py

or use our web interface.

Tutorials. List all tutorials:

bash marimo tutorial --help

Share cloud-based notebooks. Use molab, a cloud-based marimo notebook service similar to Google Colab, to create and share notebook links.

Questions?

See the FAQ at our docs.

Learn more

marimo is easy to get started with, with lots of room for power users. For example, here's an embedding visualizer made in marimo (video):

Check out our docs, usage examples, and our gallery to learn more.

Tutorial Inputs Plots Layout

Contributing

We appreciate all contributions! You don't need to be an expert to help out. Please see CONTRIBUTING.md for more details on how to get started.

Questions? Reach out to us on Discord.

Community

We're building a community. Come hang out with us!

A NumFOCUS affiliated project. marimo is a core part of the broader Python ecosystem and is a member of the NumFOCUS community, which includes projects such as NumPy, SciPy, and Matplotlib.

Inspiration

marimo is a reinvention of the Python notebook as a reproducible, interactive, and shareable Python program, instead of an error-prone JSON scratchpad.

We believe that the tools we use shape the way we think better tools, for better minds. With marimo, we hope to provide the Python community with a better programming environment to do research and communicate it; to experiment with code and share it; to learn computational science and teach it.

Our inspiration comes from many places and projects, especially Pluto.jl, ObservableHQ, and Bret Victor's essays. marimo is part of a greater movement toward reactive dataflow programming. From IPyflow, streamlit, TensorFlow, PyTorch, JAX, and React, the ideas of functional, declarative, and reactive programming are transforming a broad range of tools for the better.

Owner

  • Name: marimo
  • Login: marimo-team
  • Kind: organization

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 3,456
  • Total Committers: 135
  • Avg Commits per committer: 25.6
  • Development Distribution Score (DDS): 0.523
Past Year
  • Commits: 2,289
  • Committers: 116
  • Avg Commits per committer: 19.733
  • Development Distribution Score (DDS): 0.499
Top Committers
Name Email Commits
Myles Scolnick m****s@m****o 1,650
Akshay Agrawal a****y@m****o 1,021
renovate[bot] 2****] 152
Dylan Madisetti d****n@m****e 121
Shahmir Varqha S****1@g****m 117
devin-ai-integration[bot] 1****] 47
eugene e****4@g****m 36
Srihari Thyagarajan 5****t 31
pre-commit-ci[bot] 6****] 30
Wasim Sandhu w****u 29
Joaquin Coromina 7****c 18
vincent d warmerdam v****m@g****m 13
fuenfundachtzig 8****g 10
Alexander Kislukhin 4****n 7
xenium 7****e 7
Florian Verdonck f****k@o****m 6
Michał Krassowski 5****i 5
Trevor Manz t****z@g****m 5
AbdulHamid Merii 4****i 4
Pavel Zwerschke p****w@g****m 4
brenoca 7****a 4
Péter Gyarmati d****y@g****m 3
Mut Ze m****t@g****m 3
Eric Janto e****o@g****e 3
Andrea Ghensi a****i@g****m 3
Adit Shah a****0@g****m 2
Philipp Rudiger p****r@a****m 2
Robert McKnight r****1@g****m 2
Ryan Parker 9****r 2
Sean Turner s****r@o****m 2
and 105 more...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 1,678
  • Total pull requests: 5,142
  • Average time to close issues: 16 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 677
  • Total pull request authors: 192
  • Average comments per issue: 1.68
  • Average comments per pull request: 1.71
  • Merged pull requests: 4,169
  • Bot issues: 4
  • Bot pull requests: 499
Past Year
  • Issues: 1,206
  • Pull requests: 3,971
  • Average time to close issues: 8 days
  • Average time to close pull requests: 1 day
  • Issue authors: 546
  • Pull request authors: 145
  • Average comments per issue: 1.47
  • Average comments per pull request: 1.81
  • Merged pull requests: 3,164
  • Bot issues: 3
  • Bot pull requests: 435
Top Authors
Issue Authors
  • akshayka (112)
  • dmadisetti (69)
  • mscolnick (44)
  • metaboulie (39)
  • mrdobalina2k (33)
  • ggggggggg (30)
  • paddymul (27)
  • delennc (21)
  • Light2Dark (20)
  • alefminus (19)
  • leventov (19)
  • manzt (17)
  • anjiro (17)
  • dchassin (17)
  • liquidcarbon (15)
Pull Request Authors
  • mscolnick (2,143)
  • akshayka (991)
  • Light2Dark (369)
  • renovate[bot] (292)
  • dmadisetti (285)
  • devin-ai-integration[bot] (126)
  • manzt (118)
  • pre-commit-ci[bot] (81)
  • Haleshot (80)
  • metaboulie (67)
  • bjoaquinc (64)
  • koaning (49)
  • wasimsandhu (37)
  • liquidcarbon (15)
  • krassowski (15)
Top Labels
Issue Labels
bug (927) enhancement (429) good first issue (66) documentation (63) help wanted (47) good first issue (typescript) (27) cannot reproduce (15) upstream (12) platform:windows (10) widget (6) merge when ready (4) community cloud (2) missing reproduction (2) dependencies (2) testing in prod (1)
Pull Request Labels
merge when ready (421) dependencies (292) bug (73) enhancement (63) internal (34) bash-focus (27) documentation (16) includes-media (6) release-highlight (4) preview (3) breaking (2) good first issue (2) good first issue (typescript) (2) breaking-change (1) upstream (1) blocked (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 438,834 last-month
  • Total dependent packages: 3
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 467
  • Total maintainers: 2
pypi.org: marimo

A library for making reactive notebooks and apps

  • Documentation: https://marimo.readthedocs.io/
  • License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
  • Latest release: 0.15.2
    published 4 months ago
  • Versions: 336
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 437,985 Last month
Rankings
Downloads: 4.7%
Dependent packages count: 10.1%
Average: 12.1%
Dependent repos count: 21.6%
Maintainers (1)
Last synced: 4 months ago
pypi.org: marimo-agents

A Marimo concept fork with some support for LLM execution as cells

  • Documentation: https://marimo-agents.readthedocs.io/
  • License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
  • Latest release: 0.0.5
    published 10 months ago
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 201 Last month
Rankings
Dependent packages count: 9.9%
Average: 32.7%
Dependent repos count: 55.6%
Maintainers (1)
Last synced: 4 months ago
pypi.org: marimo-base

A library for making reactive notebooks and apps

  • Documentation: https://marimo-base.readthedocs.io/
  • License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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  • Latest release: 0.15.2
    published 4 months ago
  • Versions: 126
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 648 Last month
Rankings
Dependent packages count: 10.2%
Average: 33.8%
Dependent repos count: 57.5%
Maintainers (1)
Last synced: 4 months ago

Dependencies

frontend/package.json npm
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frontend/pnpm-lock.yaml npm
  • 1651 dependencies
lsp/package.json npm
  • @sourcegraph/vscode-ws-jsonrpc 0.0.3-fork development
  • @types/minimist ^1.2.3 development
  • @types/node ^20.8.3 development
  • @types/ws ^8.5.6 development
  • jsonrpc-ws-proxy ^0.0.5 development
  • minimist ^1.2.8 development
  • tsup ^7.2.0 development
  • typescript ^5.2.2 development
  • ws ^8.14.2 development
  • copilot-node-server 1.10.3
lsp/pnpm-lock.yaml npm
  • 131 dependencies
examples/requirements.txt pypi
  • cvxpy >=1.2.0
  • langchain >=0.0.245
  • marimo >=0.1.0
  • matplotlib >=3.2.0
  • mortgage >=1.0.5
  • numpy >=1.22.0
  • openai >=0.27.8
  • pandas >=2.0.0
  • pymde >=0.1.18
  • pypdf2 >=3.0.1
  • seaborn >=0.12.0
  • sig-decomp ==0.1.1
  • tiktoken >=0.4.0
pyproject.toml pypi
  • black *
  • click >=8.0,<9
  • importlib_resources >=5.10.2
  • jedi >=0.18.0
  • markdown >=3.4,<4
  • pygments >=2.3,<3
  • pymdown-extensions >=9.0,<11
  • tomlkit >= 0.12.0
  • tornado >=6.1,<7
  • typing_extensions >=4.4.0
.github/workflows/cla.yml actions
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.github/workflows/playwright.yml actions
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.github/workflows/test.yaml actions
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.github/workflows/test_cli.yaml actions
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  • styfle/cancel-workflow-action 0.11.0 composite
.github/workflows/release.yml actions
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  • actions/setup-python v4 composite
  • pnpm/action-setup v2 composite
  • styfle/cancel-workflow-action 0.11.0 composite