Jev project · Community additions
v-modal/awesome-jev-tools
v-modal/awesome-jev-tools
Tools only, no articles or models.
- GitHub stars
- 657 as of 2026-09-22
- Forks
- 30
- Language
- Not specified
- License
- Check upstream
- Created
- 2026-09-19
- Last updated on GitHub
- 2026-09-24

Built by this organization
V-Modal AI - Visual Memory Layer: Find, recall from from your visual content: Mobile, Smart Glasses, Physical AIWhat Jev does in v-modal/awesome-jev-tools
The project describes itself this way: Tools only, no articles or models. In the Community additions category, Jev typically decides a single well-defined judgment, such as a label, a score or a yes/no check.
Verification
Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.
Topics
- awesome
- awesome-list
- awesome-lists
- jev
- llm
- robotics
- robotics-algorithms
- robotics-control
- robotics-simulation
How Community additions projects use Jev
Projects added from community lists and direct submissions. Many are small, single-purpose experiments, which makes them some of the easiest places to see how a Jev question is framed in real code.
Related Jev projects in Community additions
- heyjunpenn/awesome-jevheyjunpenn/awesome-jevLarge table of projects with stars, language and last-commit date, plus a searchable site.★ 520
TypeScript - vonwfzyx/vonOpen alternative: a 395M non-autoregressive System One model that answers typed questions with calibrated probabilities in under 15 ms, positioned as a local drop-in replacement for Jev.★ 483
Python - jev-align (Sutro)sutro-sh/jev-alignDataset engineering: evaluates CSV, Parquet, and JSONL rows with Jev `Choice`, `Score`, or `Boolean` decisions, sends ambiguous and audit samples to a human, and uses accepted human labels to optimize the saved definition with GEPA.★ 275
Python
openJev-verdict-2.0Heman10x-NGU/openJev-verdict-2.0Open decision engine: a calibrated 151M non-autoregressive model that reports beating both TypeSafe Jev and Laya on typed-decision benchmarks, shipped with its own test suite.★ 264
Python
DocJevjerryjliu/docjevDocument pipelines: LlamaIndex's open-source library that classifies a document against natural-language category rules or finds the boundaries between sub-documents, with swappable OCR backends (liteparse or LlamaParse) and a benchmark harness whose 40-document pilot classified 40/40 originals correctly at about 182 ms Jev decision p50.★ 259
Python- ai-pythonvercel-labs/ai-pythonPython ecosystem: the official Vercel AI SDK for Python carries Jev through its evaluation operation and Gateway examples.★ 185
Python