Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.
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A listener that streams your spark events logs to delight, a free and improved spark UI.
Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
A Julia package for probability distributions and associated functions.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
Creates or edits images with generative models and visual controls.
SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
Tools for exploratory data analysis in Python.
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Analyzes structured data and helps produce queries, insights or visualizations.
Creates or edits images with generative models and visual controls.
DrivenData hosts data science competitions to build a better world, bringing predictive models to organizations tackling the world.
In-process SQL OLAP database management system.
Data Version Control - Git for Data & Models - ML Experiments Management.
Analyzes structured data and helps produce queries, insights or visualizations.
Framework to create ChatGPT like bots over your dataset.
Functions and data dependencies for loading various word embeddings.
The Python ensemble sampling toolkit for affine-invariant MCMC.
Creates or edits images with generative models and visual controls.
Clojure Data Visualisation library, based on Statistiker and D3.
Creates or edits images with generative models and visual controls.
Analyze messy Excel, CSV, PDF, and image tables with AI. Find trends, explain changes, create charts, dashboards, and reports you can review.
Learn to build and manage a successful data science organization.
Analyzes structured data and helps produce queries, insights or visualizations.