Stars and mentions
Last 30 days, Oct 4 – Nov 2
Package downloads
Top repositories
DataExpert-io’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside DataExpert-io’s account where DataExpert-io opened or reviewed pull requests in the past 365 days.
Who noticed DataExpert-io
Everyone who starred or forked DataExpert-io’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
- Gold
- 91st place finishes
- Silver
- 52nd place finishes
- Bronze
- 53rd place finishes
- Awarded repositories
- 1Owned by DataExpert-io now
Repositories
Ordered by gold, then silver, then bronze.
- data-engineer-handbookBest: 1st by stars, 5,077 stars955
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
- #1 by starsDaily trending
967 starsdata-engineer-handbook - #2 by starsDaily trending
713 starsdata-engineer-handbook - #2 by starsWeek of
2,640 starsdata-engineer-handbook - #3 by forksDaily trending
83 forksdata-engineer-handbook - #2 by forksDaily trending
134 forksdata-engineer-handbook - #3 by starsDaily trending
1,040 starsdata-engineer-handbook - #1 by starsDaily trending
1,279 starsdata-engineer-handbook - #1 by forksDaily trending
142 forksdata-engineer-handbook
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
This repo has all the resources you need to become a data engineer. 👇 DataExpert-io/data-engineer-handbook t.co
The Data Engineering Handbook: all the resources you need to become an amazing data engineer (45k stars) What it does All text below is quoted directly from the project README. >This is a repo with links to everything you'd ever want to learn about data engineering Getting started: - Check out the projects section for more hands-on examples! - Check out the interviews section for more advice on how to pass data engineering interviews! - Check out the books section for a list of high quality data engineering books - Check out the communities section for a list of high quality data engineering communities to join - Check out the newsletter section to learn via email >This repo has all the resources you need to become an amazing data engineer! Repository DataExpert-io/data-engineer-handbook Repository stats |Metric|Value| |:-|:-| |Stars|44,640| |Forks|9.4k| |Last release|None| |Languages|Jupyter Notebook 66.9%, Python 26.3%, Makefile 3.7%| |Contributors|132| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Zach Wilson| |GitHub|@EcZachly| |Commits to this repo|40 (top contributor)| |Company / Location|DataExpert.io / San Francisco, CA| |Followers|3.8k| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.