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What is marimo?

Introducing a cutting-edge reactive notebook tailored for Python, enabling users to perform repeatable experiments, execute scripts effortlessly, launch applications, and manage versions via git. 🚀 All-in-one solution: it effectively replaces tools like Jupyter, Streamlit, Jupytext, ipywidgets, and Papermill, among others. ⚡️ Adaptive: upon executing a cell, Marimo instantly processes all related cells or marks them as outdated. 🖐️ Interactive: effortlessly link sliders, tables, and graphs to your Python code without requiring callbacks. 🔬 Consistent: it eliminates hidden states, ensures deterministic execution, and incorporates built-in package management for reliability. 🏃 Versatile: can be run as a standard Python script, enabling adjustments through CLI arguments. 🛜 User-friendly: has the capability to morph into an interactive web application or presentation and operates seamlessly in the browser via WASM. 🛢️ Data-focused: proficiently queries dataframes and databases using SQL, while allowing easy filtering and searching through dataframes. 🐍 git-friendly: saves notebooks as .py files, simplifying version control processes. ⌨️ Modern editing: equipped with features like GitHub Copilot, AI assistants, vim keybindings, a variable explorer, and numerous other enhancements to optimize your workflow. With these advanced features, this notebook transforms your Python programming experience, fostering a more productive and collaborative coding atmosphere, making it easier to share insights and results with others.

What is Apache Zeppelin?

An online notebook tailored for collaborative document creation and interactive data exploration accommodates multiple programming languages like SQL and Scala. It provides an experience akin to Jupyter Notebook through the IPython interpreter. The latest update brings features such as dynamic forms for note-taking, a tool for comparing revisions, and allows for the execution of paragraphs sequentially instead of the previous all-at-once approach. Furthermore, the interpreter lifecycle manager effectively terminates the interpreter process after a designated time of inactivity, thus optimizing resource usage when not in demand. These advancements are designed to boost user productivity and enhance resource management in projects centered around data analysis. With these improvements, users can focus more on their tasks while the system manages its performance intelligently.

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Integrations Supported

Python

Integrations Supported

Python
Apache Cassandra
Apache Flink
Apache Geode
Apache HBase
Apache Ignite
Apache Spark
Domino Enterprise AI Platform
Elasticsearch
Hadoop
Markdown
QueryPie
R
SQL
Scala
Timbr.ai
Warp 10
Yandex Data Proc
Zepl

API Availability

API Availability

Pricing Information

$0
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

marimo

Date Founded

2022

Company Location

United States

Company Website

marimo.io

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United. States

Company Website

zeppelin.apache.org

Categories and Features

Categories and Features

IDE

Not specified

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