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Awesome Data Engineering
A curated list of data engineering tools for software developers
igorbarinov/awesome-data-engineering
#awesome
#awesome-list
- List stars
- 9,173
- README repos
- 148
- Indexed repos
- 142
- List commits
- 438
- Forks
- 1,651
- Open issues
- 49
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Latest scan 2026-10-17 10:49
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pingcap/tidb
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
AI dev
Stack
GitHub topics
- Updated
- 2026-10-16
- Lists
- 4 list mentions
- First commit
- 2015-09-06
- License
- Apache-2.0
- Issues
- 7,367 open
40,645
stars
- Forks
- 6,266
- Commits
- 28,736 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
flex-analytics/flexviz
Interactive data exploration that is extremely fast and agent-native
AI dev
GitHub topics
- Updated
- 2026-10-13
- Lists
- 1 list mention
- First commit
- 2026-08-21
- License
- Apache-2.0
- Issues
- 44 open
- Forks
- 2
- Commits
- 583 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
HMAKT99/AKF
Trust metadata for AI agents — a stamp costs ~15 tokens, re-verifying costs 15,000. Agents stamp what they verify; the next agent runs 'akf check' and builds on it. pip install akf
AI dev
GitHub topics
- Updated
- 2026-08-02
- Lists
- 1 list mention
- First commit
- 2026-02-28
- License
- MIT
- Issues
- 7 open
19
stars
- Forks
- 2
- Commits
- 234 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
wordbricks/onequery
One interface for your whole data stack, with built-in safeguards and a simpler workflow for your team. Written in Rust. Docker not needed.
AI dev
Stack
GitHub topics
- Updated
- 2026-07-30
- Lists
- 1 list mention
- First commit
- 2026-03-30
- License
- Apache-2.0
- Issues
- 5 open
17
stars
- Forks
- 2
- Commits
- 310 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%