Developer Tools / Code Assistant

jevals

A Python library for agent evals and guardrails that uses typed decision questions instead of an LLM judge. It supports one-request evaluation for traces, with examples for tool choice, grounding, relevancy, and injection checks.

Clear29/30
Useful27/30
Specific17/20
Complete15/20
jevals screenshot

Why it was accepted

The page clearly describes an AI builder tool with a specific purpose: evaluating agent runs and guardrails using typed Jev-style decisions. The README shows install steps, a code example, supported eval types, and notes on latency and cost, which is enough for a useful public listing.

Weakness

The crawl does not show release history, maintenance cadence, or how broad the supported integrations are beyond the examples mentioned. It also doesn’t show test coverage or benchmark details outside the quoted performance claims.

Review status

25 days ago #235 ↓ -3

Last evaluated 25 days ago. Current rank #235. Down 3 spots in the rankings.

Score history

88

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