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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.

Pachyderm is a version control system for data.

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.

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.

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

High performance distributed data processing in NodeJS.

A system for quickly generating training data with weak supervision.

Self Organizing Map written in Python (Uses neural networks for data analysis).

Spark is a fast and general engine for large-scale data processing.

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

A data exploration platform designed to be visual, intuitive, and interactive.

Workflow tool to automatically organize data visualization output.

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.

A data and concept drift library for PyTorch.

Enriches training datasets with features from public and community shared data sources.

Minimalist neural network library optimized for sparse data and single machine environments.