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All-in-one web-based IDE specialized for machine learning and data science.

A library consisting of useful tools for data science and machine learning tasks.

Build tool for data science pipelines.

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.

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.

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

NumPy and Pandas interface to Big Data.

Lightweight, extensible data validation library for Python.

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.

Read files from Stata, SAS, and SPSS.

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

Library for working with tabular data in Julia.

A lightweight framework for data analysis in JavaScript.

Collect, clean and visualize your data in Python.

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.