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 ⚡️ Adaptive: upon executing a cell, Marimo instantly processes all related cells or marks them as outdated.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

Daft is a sophisticated framework tailored for ETL, analytics, and large-scale machine learning/artificial intelligence, featuring a user-friendly Python dataframe API that outperforms Spark in both speed and usability. It provides seamless integration with existing ML/AI systems through efficient zero-copy connections to critical Python libraries such as Pytorch and Ray, allowing for effective GPU allocation during model execution. Operating on a nimble multithreaded backend, Daft initially functions locally but can effortlessly shift to an out-of-core setup on a distributed cluster once the limitations of your local machine are reached. Furthermore, Daft enhances its functionality by supporting User-Defined Functions (UDFs) in columns, which facilitates the execution of complex expressions and operations on Python objects, offering the necessary flexibility for sophisticated ML/AI applications. Its robust scalability and adaptability solidify Daft as an indispensable tool for data processing and analytical tasks across diverse environments, making it a favorable choice for developers and data scientists alike.

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Integrations Supported

Python

Integrations Supported

Python
Amazon Web Services (AWS)
Apache Arrow
Apache Iceberg
Apache Spark
Databricks
Delta Lake
Google Cloud Platform
JSON
Microsoft Azure
PyTorch
Rust
Unity Catalog
pandas

API Availability

API Availability

Has API

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

Daft

Company Location

United States

Company Website

www.getdaft.io

Categories and Features

Categories and Features

Data Science

Not specified

DataOps

Not specified

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