Argilla
Argilla is a collaborative platform designed for AI engineers and domain experts to efficiently create, curate, and manage high-quality datasets for AI and machine learning projects.
Argilla is built in Python, distributed under the Apache License 2.0, 4.9k GitHub stars, latest release v2.8.0.
When to use Argilla
Argilla is listed here as a AI project. The directory calls out Collaborative dataset creation and curation, User-friendly annotation interface, Supports multiple data modalities as capabilities associated with it.
Other recorded traits for Argilla include Integrates with popular AI frameworks, Versioning and dataset tracking, Advanced search and filtering.
Besides AI, this page also files Argilla under Data Science, Productivity, Tools.
Argilla compared with
Records in this directory name Label Studio, Prodigy, doccano as products people compare with Argilla. That list is editorial metadata, not a claim that Argilla replaces each of them.
What the Argilla stats reflect
GitHub currently shows 4.9k GitHub stars, 479 forks, 25 open issues, latest tracked release v2.8.0. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.
Stats refreshed
- Language
- Python
- Latest Release
- v2.8.0
- License
- Apache License 2.0
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Key features of Argilla
- Collaborative dataset creation and curation
- User-friendly annotation interface
- Supports multiple data modalities
- Integrates with popular AI frameworks
- Versioning and dataset tracking
- Advanced search and filtering
Recorded alternatives to Argilla
Argilla resources
Argilla on GitHub
Frequently asked questions
What is Argilla?
Argilla is a collaborative platform designed for AI engineers and domain experts to efficiently create, curate, and manage high-quality datasets for AI and machine learning projects. This directory highlights Collaborative dataset creation and curation, User-friendly annotation interface, Supports multiple data modalities.
Is Argilla free to use?
Argilla is published as open source under the Apache License 2.0. The directory lists Collaborative dataset creation and curation, User-friendly annotation interface, Supports multiple data modalities among its recorded capabilities.
What language is Argilla written in, and what is the latest release?
Argilla is written primarily in Python. The latest release tracked on this page is v2.8.0.
What do people compare Argilla with?
This directory records Label Studio, Prodigy, doccano as comparison points for Argilla.
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