marimo

Data Science -muistikirjat ja -alustat

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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 löytyy kohdasta Data Science Notebooks & Platforms luokat.

marimo:n kaltaisimmat tuotteet ovat:

Taskade Ylennetty → Morissette-Hagenes Pro Ylennetty → Livedocs → Runcell → MLJAR →

Kuvakaappaukset

YouTube-videot

Tiedot

marimo Pääominaisuudet

• 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.

Merkit

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Kopiomerkki

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Kopiomerkki

marimo Vaihtoehtoja

Taskade Ylennetty

A comprehensive digital platform designed to facilitate the creation, automat...

Morissette-Hagenes Pro Ylennetty

A comprehensive digital platform designed to facilitate the creation, automat...

Livedocs

This platform serves as a collaborative workspace that merges the functionali...

Runcell

An AI-powered notebook assistant understands the structure of your data scien...

MLJAR

This platform simplifies data analysis by providing tools that automate machi...

CoCalc

This innovative cloud-based platform provides real-time collaboration and ext...

Python Fiddle

This online Python environment allows users to write, execute, and share Pyth...

SQLPage

This platform enables users to transform simple SQL queries into interactive ...

Redash

This data exploration and visualization platform connects to diverse data sou...

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