Search results

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

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

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.

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.

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

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

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

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

High performance distributed data processing in NodeJS.

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

A system for quickly generating training data with weak supervision.

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

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

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

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

A blog with resources for data science learners.

State of Peptides 2026 applies AI to data analysis, extraction, visualization, or business intelligence.