What is semantic-drift-sentinel?

A runnable reference implementation of semantic data quality: it monitors whether pipeline data has silently changed in meaning, even when freshness, completeness, uniqueness and structural checks all pass.

How does Jev fit into the pipeline?

The README frames the full loop as running against Jev and the quick start exports a TYPESAFE_API_KEY, so Jev powers the semantic scoring; the captured text does not show the request shape.

How do I run the demo?

Clone the repo, run make install, export TYPESAFE_API_KEY=ts-... or put it in a local .env file, then run make demo to execute the full loop on sample data.

Does it replace my existing data quality checks?

No. The README positions it after the deterministic checks: BigQuery already reports freshness, completeness, uniqueness and structural validity, and this catches changes in meaning that pass all of those.

What is the circuit breaker for?

The pattern treats a semantic quality score as a first-class ops metric monitored in production, with a circuit breaker at the gate; the captured excerpt cuts off before the threshold details.

Is there an explainer I can read first?

Yes, an interactive visual explainer at tanishque99.github.io/semantic-drift-sentinel walks through the whole pattern, and the same page is included as index.html that opens locally with no server.

What are the project's status and license?

It is MIT-licensed Python with 0 stars and 0 forks, created 2026-10-06 and last pushed 2026-10-07. The digest shows no benchmarks, pricing or contributors beyond the repository itself.

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Semantic Drift Sentinel

A runnable reference implementation of semantic data quality: it catches silent meaning drift that passes every deterministic BigQuery check, treats a semantic quality score as a first-class ops metric, and puts a circuit breaker at the gate.

See highlights Open github.com

Stars: 0
Language: Python
License: MIT
Reading time: 2 min
Published by: Community
Author: Tanishque99
Last verified: Oct 2026

Tanishque99/semantic-drift-sentinel

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Semantic data quality as a continuous infrastructure metric. Catches silent meaning drift that passes every deterministic check.

Forks: 0
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

Tagscommunity github python data-quality

Works forJev for Scoring Jev for Decision gating

Used inJev for Data & Analytics Jev for Software & DevTools

Languages: Python
Capabilities: Open sourceRequires API key

Highlights

Targets the gap after freshness, completeness, uniqueness and structural checks pass: data that has silently drifted in meaning.
Five layers, each a file you can open live, described as a top-to-bottom pattern that avoids heavy cloud compute.
Quick start: git clone, make install, export TYPESAFE_API_KEY=ts-..., then make demo to run the full loop on sample data.
Ships an interactive visual explainer on tanishque99.github.io, also included as index.html that opens locally with no server.
MIT-licensed Python; created 2026-10-06, pushed 2026-10-07, 0 stars.

Quickstart

bash

git clone https://github.com/Tanishque99/semantic-drift-sentinel
cd semantic-drift-sentinel
make install
export TYPESAFE_API_KEY=ts-...
make demo

Watch out

README and GitHub metadata reviewed 2026-10-17; the captured text stops inside the layer table, so the five layers' contents, the circuit-breaker thresholds, the sample data and any measured results are not visible.

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