Zipstack/unstract

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

7.4k
Stars
755
Forks
70.6
Radar Score
Rising
Momentum

Scoring Breakdown

Impact88.3
Velocity55.1
Health63.8

Growth Metrics

7-Day Stars
+26
30-Day Stars
+164
Acceleration
0.68x
Language
Python

Why it ranks

Strong momentum — adoption is accelerating week over week.

LLM Frameworks · inference engineTop 77% globally+26 stars / 7d+164 stars / 30d

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
83%
High Confidence
License
AGPL-3.0
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
70.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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