marimo

Zeszyty i platformy do nauki o danych

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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 można znaleźć w Data Science Notebooks & Platforms kategorie.

Produkty najbardziej podobne do marimo to:

Taskade Lansowany → Livedocs → Runcell → MLJAR → CoCalc →

Zrzuty ekranu

Filmy na YouTube

Bliższe dane

marimo Główne cechy

• 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.

Odznaki

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