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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 ⚡️ Adaptive: upon executing a cell, Marimo instantly processes all related cells or marks them as outdated.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 Count?

Count serves as a collaborative data whiteboard that enables users to interact fully. It merges the inventive capabilities of a traditional whiteboard with the analytical prowess of BI Notebooks. Users can simplify intricate SQL queries and data models into linked cells, enhancing comprehension of the underlying logic. Incorporating sticky notes and visuals can assist stakeholders in grasping the concepts of your work. As you develop your project, collaboration with fellow analysts or stakeholders allows for quicker feedback. Additionally, any canvas can be transformed into a dynamic slideshow or interactive report, providing versatile presentation options. This tool not only fosters collaboration but also streamlines the data analysis process for improved outcomes.

Media

No images available

Media

Integrations Supported

Python

Integrations Supported

AutoCAD Architecture
Azure Synapse Analytics
Google Cloud BigQuery
MySQL
PostgreSQL
Redshift
Snowflake

API Availability

API Availability

Pricing Information

$0
Free Version

Pricing Information

$34 per editor per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard 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

Count

Date Founded

2016

Company Location

United Kingdom

Company Website

count.co

Categories and Features

Categories and Features

Data Analysis

Not specified

Data Modeling

Not specified

Data Visualization

Not specified

SQL Editors

Not specified

SQL IDEs

Not specified

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