Data & context
Argilla
Connects programmatic dataset workflows with structured human feedback from domain experts.
Overview
Research summary
Argilla combines a Python-oriented workflow with a collaborative interface for AI engineers and subject-matter experts. It supports labeling, reviewing examples and collecting human feedback for tasks such as classification, preference tuning and model evaluation. Filters, suggestions and semantic search help focus review on useful samples. The current README states that the original authors have moved on and do not plan new features, while remaining committed to bug fixes and patches and inviting additional maintainers.
Repository summary
- Stars
- 5,135
- Open issues
- Unavailable
- Last push
- 2026-09-28
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Argilla.
Implementation details
Python implementation with an interactive application or platform integration
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 5,135
- Open issues
- Unavailable
- Last push
- 2026-09-28
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 6
- https://argilla.io Project page
- https://github.com/argilla-io/argilla Linked repository · Research reference
- https://argilla-io.github.io/argilla/latest/ Documentation
- https://api.github.com/repos/argilla-io/argilla Research reference
- https://github.com/argilla-io/argilla/blob/develop/README.md Research reference
- https://github.com/argilla-io/argilla/blob/develop/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06