jev-benchmarks GitHub avatar by AbdelStark

AbdelStark /

Evaluation & Observability

jev-benchmarks

A benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.

License: Apache-2.0Language: PythonLast push: 9/17/2026#evaluation-benchmarks#classification-ranking

What Jev Does in this Architecture

Runs the same labeled text tasks through both backends and records probabilities, latency and failures.

Key Architecture Benefit

Helps examine task-specific accuracy and whether confidence scores support chosen thresholds.

Review & Benchmark Note: The author reports a 300-example pilot. Hosted Jev and local GLiNER timings are not hardware-normalized; this site did not rerun it.
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git clone https://github.com/AbdelStark/jev-benchmarks.git

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Check out the upstream repository README, issues, and commit log.

AbdelStark/jev-benchmarks

Architecture Category

Evaluation & Observability

Evaluation harnesses, latency profiling, tracing, and telemetry for Jev decisions.

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