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sqlite-jev

mgaitan/sqlite-jev

Batched natural-language judgments for SQLite via TypeSafe Jev.

Classification & Routing0.32Runner-up: Scoring & RankingQuestionnaire
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A SQLite loadable C extension plus Python package that brings TypeSafe Jev to SQLite. It exposes Noul, Choice, and Score judgments as SQL scalar functions and batched virtual-table queries, aimed at analysts and developers doing natural-language classification or scoring over table data.

How it uses Jev

Jev makes Boolean Noul judgments (probability of yes), Choice classification, and Score ratings. State is a JSON object built from selected table columns; up to 40 rows share one API state. Results return as virtual-table rows (answer, probability, choice, score, confidence) joinable by source_rowid, or via scalar functions.

Primitives:noulchoicescore

Technique worth stealing

Batch up to 40 rows in one shared Jev state via jev_rows, keeping thresholds in SQL so they can rise with false-positive cost.

Try it

Run make, export TYPESAFE_API_KEY=..., then .load ./build/jev in sqlite3 and call jev_version().

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 projectFound in material0.95
  • Shows a System One patternFound in material0.86
  • Describes handling uncertaintynot found in the excerpt0.19
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalunclear0.50
  • Is a replica of the modelnot found in the excerpt0.12
  • Solves a common problem (0–2)score on a 0–2 scale1.13 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.86Describes handling uncertainty0.19Reports measured numbers0.05Is a runnable tool0.97Top-10 learning shortlist signal0.50Is a replica of the model0.1200.51Solves a common problem (0–2)1.13 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.71Viewfinder0.28Inspection0.2000.51

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 20 Sept 2026.