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DocETL

Data Extraction 5.8/10 Solid

A system for agentic LLM-powered data processing and ETL

DocETL scores 5.8/10 (Solid) in Data Extraction.

Language Python License MIT Stars 3.9k★ Type library Self-host Yes Repo ucbepic/docetl Homepage https://www.docetl.org

Quality

Solid 5.8
Adoption 40
Activity 54
Maturity 90
Community 41
Capability 50
Show the math
Overall 5.8/10
value = 5.8/10
score = value
Adoption 4.6/10
value = 39.7/100
score = 1 + 9 * value / 100
Activity 5.9/10
value = 53.9/100
score = 1 + 9 * value / 100
Maturity 9.1/10
value = 90.4/100
score = 1 + 9 * value / 100
Community 4.7/10
value = 41.2/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

3.9k★ GitHub stars
25/90d Recent commits
2 devs/90d Recent contributors
2y Project age
active Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

etl pipelines llm documents python