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A curated projects built with Jev, TypeSafe's System One model.
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- Last pushed
- Updated Oct 2026
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CommunityJev Guides & Articles
Awesome Jev — jtnkminimal
Curated Jev project list grouping models, agent tooling, guardrails, search, apps, trading, benchmarks and games, with a ranked top section and framework integration notes.
- Stars
- 4
- Language
- Python
- License
- CC0-1.0
- Published by
- Community
- Author
- jtnkminimal
- Last verified
- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Awesome Jev — yibie.
About this project
Jev answers typed questions — Choice, Noul and Score — with calibrated probabilities instead of prose, so ordinary code keeps control of the workflow. This list collects what people have built with it. 136 ranked projects plus 18 upstream integrations. Every entry was checked against the repository itself; See Method. Ranked by an even blend of popularity (log-scaled stars) and how compelling the project is. The Interest column is a 0–4 rating from Jev itself, averaged over its probability distribution.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- Python
Highlights
- Top section ranks projects by popularity blended with a Jev interest score.
- Categories separate runtimes, tooling, guardrails, search, apps and games.
- Each entry links out to its own repository with a short scope note.
- Method section documents how entries were checked against sources.
Watch out
Rankings blend log-scaled popularity with a Jev-scored interest rating, and every entry is checked against its repository per the method section rather than executed. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
An even blend of log-scaled popularity and a compelling-project score, where interest is a Jev rating averaged over its distribution. It surfaces small but instructive builds alongside widely used ones.
Models and runtimes, agent tooling, guardrails and review, search and extraction, applications, trading, benchmarks, games, framework integrations and upstream notes.
Jev answers typed Choice, Noul and Score questions with calibrated probabilities instead of prose, so ordinary code keeps control of the workflow the listed projects build on.
Start from the contents map and the top section, then follow the category that matches your task. The method section documents how entries were checked against their repositories.
136 ranked projects plus 18 upstream integrations. The README says every entry was checked against the repository itself.
From Jev itself: it is a 0-4 rating averaged over the model's probability distribution, then blended with log-scaled stars to produce the Score.
No. The rank blends popularity, measured as log-scaled stars, evenly with how compelling the project is judged, so a lower-star project can rank above a higher-star one.
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