ucbepic/docetl
A system for agentic LLM-powered data processing and ETL
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #4 among Data Engineering repositories tracked this week, and #4 over the last 30 days; #948 of 2,531 repositories GStars tracks this week (top 37%).
No releases in the last 90 days; the most recent was 126 days ago, with 30 contributors on GitHub.
Gained 9% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a Python-based system for building and executing complex document processing and ETL pipelines powered by large language models.
- Enables interactive pipeline development with a UI playground and seamless transition to production-ready Python code, enhancing iterative prompt engineering.
- Use for developing and testing document analysis workflows interactively via the DocWrangler UI before deployment.
- Use for automating semantic extraction and transformation of unstructured data in production environments using Python scripts.
- Use for integrating LLM-powered data pipelines with cloud services like AWS Bedrock for scalable document processing.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
DocETL is a tool for creating and executing data processing pipelines, especially suited for complex document processing tasks. It offers:
💡 Need Help Writing Your Pipeline? You can use Claude Code (recommended) to help you write your pipeline—see the quickstart: https://ucbepic.github.io/docetl/quickstart-claude-code/ If you’d rather use ChatGPT or the Claude app, see docetl.org/llms.txt for a big prompt you can copy/paste before describing your task.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
452+34
Open issues
47+3
Compared with peers in Data Engineering
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| webtorrent/webtorrent | 31.4K | +0 | 75 | 86 days ago |
| asciinema/asciinema | 17.9K | +0 | 75 | 123 days ago |
| influxdata/telegraf | 17.9K | +0 | 75 | 8 days ago |
| XiaoYouChR/Ghost-Downloader-3 | 9.8K | +0 | 75 | 48 days ago |
| asyncapi/spec | 5.3K | +0 | 75 | 262 days ago |
| ucbepic/docetl | 4.1K | +0 | 75 | 126 days ago |
| Category median | 17.9K | +0 | 75 | — |
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