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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open-source package for validating ML models & data, with various checks and suites.

Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Tools for exploratory data analysis in Python.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Functions and data dependencies for loading various word embeddings.

Clojure Data Visualisation library, based on Statistiker and D3.

Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Analyzes structured data and helps produce queries, insights or visualizations.

Analyzes structured data and helps produce queries, insights or visualizations.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Knowledge sharing platform for data scientists and other technical professions.

Repeatable, atomic and versioned data lake on top of object storage.

Modern columnar data format for ML implemented in Rust.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Pretrain computer vision models on unlabeled data for industrial applications.

Collect, aggregate, and visualize a data ecosystem's metadata.