ucbepic / docetl
A system for agentic LLM-powered data processing and ETL
Why this job: works in the areas we cover, but does not say which job it does
What it does
Without DocETL, you write each LLM call yourself, wire them together, and tune the result for accuracy, cost, and latency by hand.
Get started
pip install docetl
export OPENAI_API_KEY=your_key
# or any LLM provider key- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 4,227
- +23 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.3.0
- Released 4 months ago
- Built with
- Python
- 69% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 79% closed
- 32 still open
- Pull requests
- 322 merged
- 15 waiting
- Releases
- 15
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 69%
- TypeScript 31%
- Makefile <1%
- CSS <1%
Topics
- data
- etl
- llm
- python
- data-pipelines
- elt
- workflow
- agents
- semantic-data
- document-processing
- unstructured-data
- unstructured-data-analysis
Project record
- JobOther AI tools
- StatusListed
- Commits922
- Forks465
- Watching33
- Stars in 28 days+98
- CreatedJul 9, 2024
- First seen by usNov 7, 2026
- CheckedNov 10, 2026