code-kern-ai/refinery

Health v2 · maintenance only

Adoption not part of the score

1469 stars · 73 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source tool for scaling, assessing, and maintaining natural language training data, treating datasets like software artifacts. It provides text annotation, labeling workflows, and data-centric AI capabilities for NLP projects.

Use cases

• label text data for NLP model training
• manage and version training datasets
• run active learning annotation workflows
• assess quality of labeled text data
• bootstrap labeled data for a text classifier
• collaborate on text annotation with a team

When to choose

• you need labeled NLP training data but lack annotations
• you want a data-centric workflow for maintaining text datasets
• you want an open-source alternative to commercial labeling tools

When to avoid

• you need image or audio annotation rather than text
• you want a fully automated pipeline with no human-in-the-loop

Facets

application · maturity active

machine-learning nlp data-science etl machine-learning data-science artificial-intelligence python self-hosted data-labeling text-annotation data-centric-ai active-learning human-in-the-loop training-data weak-supervision text-classification natural-language-processing web-server docker

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markdown · JSON · MCP: product_card(name="code-kern-ai/refinery")