Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Unified marketing funnel event tracking — one GA4-standard track() call dispatches to GA4, Meta Pixel, TikTok, Kakao, and 14+ analytics platforms
A showcase of demos and tools built with the various Google Analytics APIs and Libraries.
A large Dataset of synchronised Audio, LyrIcs and vocal notes.
Crafty statistical graphics for Julia.
Gatsby plugin to add Google Analytics (V4 is supported), Google Tag Manager, Facebook Pixel, TikTok Pixel and Hotjar in a GDPR form to your site.
A Clojure dataframe library that runs on Apache Spark.
Unified interface to ggplot2 popular R packages.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Glot is a plotting library for Golang built on top of gnuplot.
MCP server for Google Ads, Meta Ads & GA4 — works with ChatGPT, Claude, Cursor, n8n, Windsurf & more. 250+ tools for campaign management, analytics & optimization.
References for Go were mostly cut-and-pasted from.
Graph layout algorithms in pure Julia.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Implementation of the hdbscan algorithm in Python - used for clustering.
A dataset format for creating, storing, and collaborating on AI datasets of any size.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
Node.js module to help you understand how your tool is being used by anonymously reporting usage metrics to Google Analytics
A lightweight set of tools for loading and sharing data in data science projects.
The power of Chart.js in Jupyter Notebook.
Distributed POSIX file system built on top of Redis and S3.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.