Argilla

7.1easy start · #9 of 24
in Data Labeling Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, Linux, self-hosted, Web.

Argilla is ranked #9 of 24 in data labeling software on The Geeks Club. It runs on API, Linux, Self-hosted, Web. There is a free plan.

Argilla plans and pricing

All plans

Argilla Free Free, open-source software; deploy on Hugging Face Spaces or your own infrastructure docs.argilla.io · 30 Sept 2026

Compared on data labeling software

Free plan: Yes
Model-assisted labeling: Yes

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The record

Purpose: Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.
AI workflows: It supports collecting human feedback for NLP, LLM, and multimodal projects, including tasks such as text classification, named entity recognition, retrieval-augmented generation, and preference tuning.
Annotation tools: Users can label data with filters, AI feedback suggestions, and semantic search.
Feedback types: Datasets can collect feedback such as labels, ratings, rankings, and text responses.
Data formats: Argilla supports text and images, and custom fields can represent audio, video, or other data rendered as base64 or HTML.
Integrations: The docs describe compatibility with Hugging Face and spaCy, and tutorials show integrations with SetFit and LlamaIndex.
Deployment: Argilla can be deployed on Hugging Face Spaces or on a local machine or server using Docker Compose.
SDK and API: A Python SDK connects to an Argilla server using its API URL and API key, and the server exposes REST API documentation.
Data portability: Datasets and records can be imported from and exported to Python, local disk, or the Hugging Face Hub.
Authentication: Argilla supports OAuth2 authentication with Hugging Face, GitHub, and Google providers by default.
Privacy and telemetry: Argilla reports anonymous usage and error telemetry, says it does not collect dataset records, names, or metadata, and allows telemetry to be disabled with an environment variable.
Support: The product site directs users to its community for support and use-case discussion.
Model training limit: Argilla does not train models; its FAQ recommends using a separate machine-learning framework such as Hugging Face Transformers.
Data persistence limit: On Hugging Face Spaces, data on ephemeral free storage is lost when the Space restarts.
Price from: Free

Where it ranks on The Geeks Club

Best Data Labeling Software in 2026#9 of 24
Best AI Data Labeling Tools in 2026#8 of 21

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Sources

argilla.io· checked 30 Sept 2026
docs.argilla.io/latest/· checked 30 Sept 2026
docs.argilla.io/latest/getting_started/quickstart/· checked 30 Sept 2026
docs.argilla.io/latest/getting_started/faq/· checked 30 Sept 2026
docs.argilla.io/v2.1/how_to_guides/import_export/· checked 30 Sept 2026
docs.argilla.io/latest/reference/argilla-server/oauth2_· checked 30 Sept 2026
docs.argilla.io/latest/reference/argilla-server/telemet· checked 30 Sept 2026
docs.argilla.io/v2.0/getting_started/how-to-configure-a· checked 30 Sept 2026