Data · collection
The Data Stack, Done Right
Six open-source projects that cover the full journey of data, from wrangling and querying to large-scale processing and the dashboards that make it all make sense.
SCreated by Sanjeet Pal Singh
updated 5 hours ago
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Projects in this collection
Ranked by the curator, with their reason for including each one.
1
pandasPython
★ New49.7K GitHub starsBSD-3-Clause
Why Sanjeet Pal Singh included it: “Still the default way most people touch data in Python, with an expressive, battle-tested API that everything else in the ecosystem builds on.”
2
duckdbC++
★ New41K GitHub starsMIT
Why Sanjeet Pal Singh included it: “An in-process analytical database that turns a single laptop into a serious query engine, with a rich SQL dialect and zero setup.”
3
sparkScala
★ New44K GitHub starsApache-2.0
Why Sanjeet Pal Singh included it: “The unified engine for large-scale data processing, offering SQL, DataFrames, streaming, and machine learning under one well-maintained roof.”
4
supersetPython
★ New74.7K GitHub starsApache-2.0
Why Sanjeet Pal Singh included it: “An enterprise-ready BI platform that lets analysts explore, chart, and dashboard data from nearly any database without vendor lock-in.”
5
metabaseClojure
★ New49.1K GitHub starsOther
Why Sanjeet Pal Singh included it: “The friendliest way to let non-technical teammates ask questions of company data, with a polished self-hosted experience.”
6
d3Shell
★ New113.7K GitHub starsISC
Why Sanjeet Pal Singh included it: “The foundational visualization library whose low-level, standards-based approach underpins a generation of charts and interactive data storytelling on the web.”