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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.

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

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

Algorithm capable of fully capturing the impact of data drift on performance.

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

Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.

Bring multiple data streams into one dashboard.

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.

Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.

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

LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.

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

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

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.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

A self-organizing data hub with S3 support.

Julia package for loading many of the data sets available in R.

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.