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vd-jev

ondata/vd-jev

VisiData plugin: ask closed questions per text cell, get typed columns.

Data Labeling & Curation1.00Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 19 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A VisiData plugin that asks one closed question about every cell of a chosen text column and writes back typed columns: a probability, a label, or a scale position, each with confidence.

How it uses Jev

Jev is the default decision model (any OpenRouter decision model also works). For each cell of the selected text column, the plugin sends the question and the cell text to OpenRouter; the returned typed answer and confidence become new columns such as message_noul, message_choice, message_choice_conf and message_choice_p.

Primitives:choicescorenoul

Technique worth stealing

Map each free-text cell to a typed answer plus confidence via a decision model, keeping answers as sortable, countable columns.

Try it

uv tool install visidata --with git+https://github.com/ondata/vd-jev, set OPENROUTER_API_KEY, then run jev-column on a text column.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.22
  • Shows a System One patternunclear0.50
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.38
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.22Shows a System One pattern0.50Describes handling uncertainty0.08Reports measured numbers0.07Is a runnable tool0.97Top-10 learning shortlist signal0.38Is a replica of the model0.0700.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Viewfinder0.69Check-up0.5500.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 19 Oct 2026.