marimo

Notebooks e plataformas de ciência de dados

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This open-source reactive notebook environment transforms data analysis, machine learning, and SQL querying by providing an AI-native, Python-based platform that ensures reproducibility, seamless collaboration, and easy sharing as web apps or scripts. Its main features include Git-friendly version control, automatic dependency management, interactive widgets like sliders and plots, built-in SQL support for multiple databases, and AI-assisted coding with inline chat, making it ideal for developers, data scientists, researchers, and educators seeking an efficient, versatile, and collaborative environment for computational projects.

marimo pode ser encontrado em Data Science Notebooks & Platforms categorias.

Os produtos mais semelhantes a marimo são:

Taskade Promovido → Livedocs → Runcell → MLJAR → CoCalc →

Capturas de tela

Vídeos do YouTube

Detalhes

Principais características do marimo

• Open Source
  All features and code are open source and free to use.
• SQL Support
  Run SQL queries on dataframes and databases like SQLite, Postgres, and MySQL.
• Easy Sharing
  Export notebooks as HTML, or serve them as web apps with the CLI.
• Git-Friendly
  Supports version control, run as scripts, reuse code, and manage metadata with Git.
• Python-Based
  Marimo notebooks are stored as pure Python scripts and modules.
• Developer Tools
  Features autocomplete, tooltips, vim bindings, code formatting, debugging, and hotkeys.
• Reproducibility
  Executions happen in a fixed order, with no hidden state, ensuring consistent results.
• AI-Powered Editor
  Includes AI assistance, inline edits, and chat, supporting various AI models.
• Example Notebooks
  Provides sample notebooks in categories like AI/ML, Data Visualization, and Science.
• Reactive Notebooks
  Notebooks automatically update other cells when you change a value or code.
• GitHub Shareability
  You can share notebooks from GitHub and create badges for marimo or Jupyter notebooks.
• Additional Resources
  Offers documentation, case studies, gallery of example projects, and legal info.
• Code and Output Sync
  Code cells and their outputs stay in sync, and changing a cell updates others automatically.
• Configurable Outputs
  For heavy notebooks, you can mark outputs as stale to avoid re-running everything.
• Community and Support
  Join the community via GitHub, Discord, Twitter, and YouTube to stay updated.
• Reproducible and Portable
  Send notebooks as scripts or web apps that run anywhere, easily reproducible.
• Works as Scripts and Apps
  You can run notebooks as standalone scripts or share them as web apps.
• Built-in Interactive Elements
  Includes sliders, dropdowns, tables, and plots to make data work fun and easy.
• CLI, Library, VS Code Extension
  Offers multiple tools for working with notebooks easily.

Emblemas

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Cópia do crachá

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Cópia do crachá

marimo Alternativas

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MLJAR

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CoCalc

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SQLPage

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Tecnologias Utilizadas

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