data-documentation

🐳 The stupidly simple CLI workspace for your data warehouse.

A Python library to generate static data catalog sites. Carte scrapes metadata from your data assets and generates a fully searchable front end that's just HTML.

Triplestore wrapper package for Python.

A Single place to Discover, Collaborate, and Get your data right

Evsy is a lightweight admin panel for managing and documenting product analytics events and their properties.

Skills to bootstrap and expand analytics ontologies from schema, dbt, dashboards and docs. Evidence-backed context, user-defined domains and reviewable Git changes.

Udacity Nanodegree Program, a data analysis project using the Pisa2012 dataset.

Environmental Justice Research Repository. Developed and used as research source data for the Spring 2022 University of Oregon ENG 470 Technologies and Text Capstone Course.

This is a package with miscellaneous tools, a set of computational tools and a graphical user interface (GUI) for privacy preserving federated survival model meta-analysis using the DataSHIELD platform. The primary function is to enable data and model documentation.

Schema Scribe is an AI-powered data catalog generator for your database schema and dbt projects. It automates data documentation by using LLMs to generate business-friendly column descriptions.

Search a column, see where it comes from and everything it feeds. Local lineage docs for data pipelines: import a dbt project in one command, let an AI agent document it, review its work on a graph.

Data supporting the study: On the Readiness of Scientific Data for Fair and transparent ML

A documentation framework for Power BI semantic models, with reusable templates, examples, and Claude Code-ready workflows.

British Library Digitised Books c. 1510 - c. 1900: JSONL (OCR derived text & metadata)

Make your database AI-ready: turn any SQL or dbt schema into curated, validated, portable Open Knowledge Format (OKF) bundles — AI-generated, human-reviewed.

Pipeline, not a checker: runs LeakCheck + GapFinder + ProvenanceKit, proposes reviewed fixes, delivers a packaged dataset with datasheet, Croissant metadata, and changelog.

Honest, checkable fine print for datasets: each caveat says what to do about it and whether the data already takes care of it

Explain one metric so non-specialists read it correctly and specialists can reproduce it. Your agent traces the number to its code, flags where the docs and the code disagree, and writes a Metric Card. An agent skill plus a small CLI.

A principled approach to metadata in R for your dataset.

Find Danish National Birth Cohort (DNBC) questionnaire variables by topic — a Claude Code skill over all eight codebook waves