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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.

Summarize, analyze and organize your research.

A beautiful graphing toolkit for Ruby.

A python visualization library based on matplotlib.

Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.

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

High performance distributed data processing in NodeJS.

Skills

skills.sh

Skills supports software development with code generation, analysis, debugging, or documentation.

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

A system for quickly generating training data with weak supervision.

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.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

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.

An open source tool for running arbitrary queries against public data from the Stack Exchange network.

Statistical modelling and econometrics in Python.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Streaming MapReduce with Scalding and Storm.

The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.