Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Best matched with other platform tools.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Best matched with other platform tools.
Evidently has the larger GitHub footprint with 7.5K stars.
Unstract is currently growing faster at 0 stars this week.
Unstract has the stronger automated maintenance signal at 58/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Unstract | Evidently |
|---|---|---|
| Evidence status | Basic listing· 14h ago | Basic listing· 14h ago |
| GitHub stars | 6.7K | 7.5K |
| Weekly growth | 0 | 0 |
| Health score | Watch58/100 |
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| Contributors | 30 | 97 |
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| Commits per week | 10.2 | 1.2 |
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| Open issues | 77 | 272 |
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| Language | Python | Jupyter Notebook |
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| License | AGPL-3.0 | Apache-2.0 |
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| Last commit | 16h ago | 2mo ago |
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| Last release | v0.182.0 | v0.7.21 |
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