Redash applies AI to data analysis, extraction, visualization, or business intelligence.
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An open dataset with 30 trillion tokens for training Large Language Models.
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.
Cloud native AI, analytic and data management platform that supports the analytics life cycle.
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.
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.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Self Organizing Map written in Python (Uses neural networks for data analysis).