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jev-data-engineering-tribunal

nithadya/jev-data-engineering-tribunal

Data engineering decision engine using Jev for deterministic pipeline gates.

Verification & Guardrails0.86Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 6 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Roman Tribunal web UI and FastAPI backend that evaluates four production data engineering decisions—ingestion gates, transformation routing, anomaly triage, and storage architecture—using Jev for fast typed decisions and DeepSeek for remediation.

How it uses Jev

Jev evaluates typed questions against a contextual state string to produce calibrated probabilities. The README shows noul for binary safety checks, choice for categorical defect classification, and score for severity rubrics. Results are used for deterministic pipeline branching such as Kafka routing or Spark DAG decisions.

Primitives:noulchoicescore

Technique worth stealing

Use Jev's typed probabilities for sub-second deterministic pipeline gates, reserving generative LLMs for remediation.

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 material0.69
  • Shows a System One patternFound in material0.66
  • Describes handling uncertaintynot found in the excerpt0.12
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolunclear0.55
  • Top-10 learning shortlist signalnot found in the excerpt0.21
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.55 / 2
  • About JevFound in material0.92
Signals
Jev is core to the project0.69Shows a System One pattern0.66Describes handling uncertainty0.12Reports measured numbers0.07Is a runnable tool0.55Top-10 learning shortlist signal0.21Is a replica of the model0.0800.51Solves a common problem (0–2)1.55 / 2012

no-judgment band (0.40–0.60)

Design patterns
Ghostwriter0.69Funnel0.45Questionnaire0.3400.51

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 6 Oct 2026.