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jeval

Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.

Details

External ID
1378438547
Source
GITHUB
Company
—
Product
jevals
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
17
Upvotes percentile
0.5446451447604407
Tags
calibration, classifier, cli, confidence, ece, human-in-the-loop, python, reliability-diagram
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
confidence calibration tool for ml classifiers
Manually corrected
False

Could you build this?

Yes This is an evaluation utility that calculates statistical confidence calibration and expected cost matrices for classification models, implementable via standard Python data analysis scripts.

Competitors

Other products that read as similar to this one — 165 launches clear the similarity bar, closest 8 shown.

Attention rank: #103 of 166 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 240 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.