Argilla
the six Ws · specification
Argilla, now part of Hugging Face, develops Argilla as a data-annotation collaboration tool.
Argilla lets engineers and domain experts label and curate high-quality datasets for classification, RAG, preference tuning, and multimodal models.
Hosted on GitHub under argilla-io, deployable via Docker or Hugging Face Spaces.
First released in 2021, with continued development after joining Hugging Face in 2024.
Built to streamline human-in-the-loop feedback collection for fine-tuning and evaluation datasets.
Installs via pip, runs as a server with a Python SDK, integrates with the Hugging Face Hub.
Open source under Apache 2.0, self-hosted or via Hugging Face Spaces, no credentials required for local use; maintained by Hugging Face.
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