Topics / #datascience

Datascience projects on GitHub

Learning resources and tooling for data science workflows and analysis.

As of , the most-starred Datascience projects on GitHub are taipy (19.4K stars), ds-cheatsheets (16.4K stars) and Virgilio (15K stars). GitHub.Locker tracks 5 Datascience repositories with 71.5K stars combined. The fastest-growing on October 16 was metaflow, with +2 stars in a day.

5Projects
71.5KStars in total
+4Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · Avaiga/taipy

    taipy

    Taipy is a Python framework that turns data and AI code into production-ready web applications, taking you from a simple pilot script to a deployable app without extra web development work.

    19.4K
  2. #2 · FavioVazquez/ds-cheatsheets

    ds-cheatsheets

    A curated list of data science cheatsheets covering Python, R, math, big data, machine learning, deep learning, SQL, and data visualization, meant to be a quick-reference collection rather than a tutorial.

    16.4K
  3. #3 · virgili0/Virgilio

    Virgilio

    A free, open-source initiative that mentors anyone into Data Science: instead of drowning in a chaotic jungle of tutorials, you follow structured learning paths it has put together.

    15K
  1. 4

    modin

    10.4Kmodin-project/modin · Python

    Modin is a drop-in replacement for pandas: you keep the same API and syntax, but your workflows run on all of your CPU cores instead of a single thread. Change one import line and your existing pandas code just runs faster.

  2. 5

    metaflow

    10.3KNetflix/metaflow · Python

    Metaflow is an open-source Python framework for building, managing and deploying real-life AI and ML systems — from quick prototyping in notebooks to reliable production deployments.

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