jevotron
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
Classification (分类), Human escalation (人工升级)
choice: read in the code by a model, not yet by a person 由模型在代码里读到,尚无人复核
a model read the call site; no person yet 模型读过调用点,尚无人复核 · · Cited file / 引用的文件: src/jevotron/client.py
Summary · 摘要
Command-line field-level anomaly detection for CSV, JSON, text, SQLite and DuckDB: Jev labels each field of each entry NORMAL or ANOMALY, or with your own classes, given optional guidance and exemplars, and the output is a review queue sorted by confidence. SQLite caching reuses past answers.written by a model
命令行字段级异常检测工具,支持 CSV、JSON、文本、SQLite 和 DuckDB:Jev 结合可选的指导说明和示例,为每条记录的每个字段标注 NORMAL 或 ANOMALY,或你自定义的类别,输出按置信度排序的复核队列。SQLite 缓存会复用以往的判断结果。模型撰写机翻
Notes · 备注
On PyPI as jevotron; moved from cmungall/jevotron. It can use OpenAI's Decisions API instead of Jev. In the author's 24-trace pilot it matched 79.8% of published agent-step labels, which the README calls a small sample. Row drafted from the discovery queue (issue #14) by an AI assistant that read the README and the cited file on 2026-11-03; a maintainer has not yet read the call site.
以 jevotron 发布在 PyPI 上;仓库由 cmungall/jevotron 迁移而来。也可改用 OpenAI 的 Decisions API 代替 Jev。在作者 24 条轨迹的试点中,它与已发布的智能体步骤标注吻合 79.8%,README 称这是小样本。本条目由 AI 助手根据发现队列(issue #14)起草,于 2026-11-03 阅读了 README 和所引文件;维护者尚未亲自阅读调用点。
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的?确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接,用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/jevotron.html)
One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行,链接到本页。图片显示已收录;在发布榜上时显示正在发布;进过某周前三后显示名次。它随网站一起重建,这一行不用再改。
Also under this pattern · 同一模式的其他产品
json-render
Vercel Labs' generative UI framework. In its Jev experiment the model does not write JSON token by token — it only picks components, props and layout.
Inbox Zero: seven email decisions
Seven distinct email decisions, each with its own separately chosen threshold, falling back to the normal LLM on any error.
pg-jev
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
jev-mcp
A ready-made judgement toolbox for agents: fact verification, content screening, semantic ranking, classification and extraction as separate tools.
docjev
Classifies and splits PDF, DOCX and PPTX files: LiteParse extracts page text locally, then Jev picks a document's category with a choice over your rules, or for a packet answers per page a category choice and a noul on whether a new document starts there. Its report covers 40 real PDFs.