Jev project · Benchmarks & research
jevcal
abhixhek/jevcal
A toolkit for evaluating Jev probabilities on labeled data, selecting confidence thresholds and checking model drift.

- GitHub stars
- 10 as of 2026-09-22
- Forks
- 0
- Language
- Python
- License
- MIT
- Created
- 2026-09-18
- Last updated on GitHub
- 2026-09-18
- Added to AionEdge
- 2026-09-19

Built by this developer
Abhishek KothariWhat Jev does in jevcal
Runs fixed questions and measures accuracy, calibration, coverage and escalation rates.
Verification
Verified. We confirmed this repository through the GitHub API and located the code that calls Jev at a pinned commit: view the Jev code ↗. Upstream code changes over time, so check that the file still exists at the current commit before citing it.
Topics
- calibration
- confidence-thresholds
- jev
- llm-evals
- system-one
- typesafe
How Benchmarks & research projects use Jev
Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.
Related Jev projects in Benchmarks & research
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JavaScript - jev-benchmarksAbdelStark/jev-benchmarksA benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.★ 17
Python - jev-for-engineersFoadsf/jev-for-engineersEight mechanical and electrical engineering experiments using Jev for task routing, log checks and component selection.★ 3
Python