Our verdict
We have not reviewed Auto-evaluator yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Auto-evaluator
Auto-evaluator is an open-source Python tool for evaluating LLM-based question-answering chains. It automates the assessment of response quality, helping developers verify accuracy and consistency in QA systems.
Best for
Developers building and testing custom LLM-based QA pipelines
Use cases
- Automatically scoring QA outputs for correctness
- Comparing performance of different LLM configurations
- Identifying response failures and edge cases
Notes
1,091 stars on GitHub. Last updated 2023-05-10.
Pros
- High community adoption with over 1000 stars
- Simple Python integration for existing pipelines
- Open source with transparent evaluation logic
Cons
- Requires setup and configuration for custom use
- Evaluation quality depends on the chosen judge model
- Limited to QA chains, not general LLM workflows
Key facts
What we have checked
- GitHub stars
- 1,103
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Auto-evaluator is growing
1,091 to 1,103
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
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