DataExpert.io
@dataexpert-io • The absolute best place to learn data engineering and AI engineering. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
97%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
8 repos
Visible snapshot
2 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (4), Unknown (3), Jupyter Notebook (1)
Average size
6K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-08-07(35d ago)GitHub API fallback8 repositories
97%
of the visible star count comes from this organization's top three repositories.
6K
stars per repository in this same snapshot.
Python
is the most common language here, with 2 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 92% of its visible star count.
Flagship share 92%Breakout repo: data-engineer-handbook
Organization pages work best when you separate portfolio breadth from flagship concentration. In DataExpert.io's case, the visible top three repositories account for about 97% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (4), Unknown (3), Jupyter Notebook (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | dataexpert-io/data-engineer-handbook This is a repo with links to everything you'd ever want to learn about data engineering | Jupyter Notebook | 44.1K |
| 2 | dataexpert-io/ai-engineer-handbook All the links, books, and creators you need to follow to stay up to date with AI! | 1.2K | |
| 3 | dataexpert-io/llm-driven-data-engineering This is a public repository to go over all the LLM-driven data engineering concepts. | Python | 1.2K |
| 4 | dataexpert-io/cumulative-table-design This repository helps teach people how to correctly define and create cumulative tables! | Python | 775 |
| 5 | dataexpert-io/analytics-engineer-handbook This repo has all the resources you need to become an amazing analytics engineer! | 390 | |
| 6 | dataexpert-io/vector-database-example | Python | 32 |
| 7 | dataexpert-io/auto-feedback-example | Python | 19 |
| 8 | dataexpert-io/databricks-lakebase-app-day-3-forked | 1 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.