AI Data & Analytics

pygal applies AI to data analysis, extraction, visualization, or business intelligence.

Markov Chain Monte Carlo sampling toolkit.

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

Tm and are the main packages for managing, analyzing, and visualizing textual data.

A python framework to transform natural language questions to queries in a database query language.

A self-organizing data hub with S3 support.

Open source GPU accelerated data science libraries.

A free and open source tool for data visualization.

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

Redash applies AI to data analysis, extraction, visualization, or business intelligence.

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

Explore and compare open source Ruby libraries.

Ruffus applies AI to data analysis, extraction, visualization, or business intelligence.

Runcell applies AI to data analysis, extraction, visualization, or business intelligence.

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

Basic sampling algorithms for Julia.

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

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

SciRuby applies AI to data analysis, extraction, visualization, or business intelligence.

A beautiful graphing toolkit for Ruby.

A python visualization library based on matplotlib.

shiny applies AI to data analysis, extraction, visualization, or business intelligence.

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.

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