AI Tool
Argilla pricing, features, company info, and alternatives
A factual product page for Argilla as a self-hosted dataset curation and human-feedback platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Argilla, last verified Apr 26, 2026.
Free
$0
Open-source and self-hosted; Argilla docs say you can deploy on your own infrastructure, Hugging Face Hub, or Docker.
What You Can Do With It
The main capabilities that shape how people use Argilla today.
Manage users, workspaces, datasets, records, and responses in one collaborative workflow.
Deploy Argilla on Hugging Face Hub or with Docker and connect through the Python SDK.
Use webhooks to react to dataset, record, and response events.
Log predictions from LlamaIndex workflows back into Argilla.
Best For
Who Argilla is most clearly built for.
AI engineers and domain experts building high-quality datasets together.
Teams that need a self-hosted human-feedback layer for NLP, LLM, or multimodal projects.
Users who want a free entry point with Python automation and Hugging Face deployment.
Company
Leadership and company context for Recognai, S.L.U..
CEO
Daniel Vila Suero
Founders
Daniel Vila Suero, Paco Aranda, Amélie Viallet
Headquarters
Calle Princesa, Nº 22, Madrid 28008, Spain
Platforms
Where you can use Argilla today.
Web
Python SDK
Docker
Hugging Face Spaces
Integrations
Notable connected tools and ecosystem hooks for Argilla.
Hugging Face Hub
LlamaIndex
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Argilla.
The privacy policy says the website is operated by Recognai, S.L.U. and describes technical measures used to protect personal data.
The server telemetry docs say Argilla reports anonymous usage and error telemetry.
The telemetry docs show how to opt out with `ARGILLA_ENABLE_TELEMETRY=0` or `HF_HUB_DISABLE_TELEMETRY=1`.
Access
How to integrate or build around Argilla.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Argilla.
Open source data labeling and AI evaluation platform with a managed enterprise cloud option.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Open-source AI observability and evaluation platform for tracing, prompt iteration, and experiments.
Product Snapshot
Argilla is an open-source collaboration tool for AI engineers and domain experts to build high-quality datasets. Its public docs frame it around human feedback, dataset curation, evaluation, and iterative model improvement.
What You Can Do With It
- Create and manage users, workspaces, datasets, records, and responses for human-in-the-loop workflows.
- Deploy Argilla on Hugging Face Hub or with Docker, and automate it through the Python SDK.
- Use webhooks to react to dataset, record, and response events.
- Log predictions from LlamaIndex workflows back into Argilla.
Why It Stands Out
Argilla combines a free open-source core with self-hosted deployment options and first-party docs for dataset management, webhooks, and SDK-driven automation.
Tradeoffs To Know
- The official docs describe the free open-source deployment path; public Argilla Cloud plan prices were not verified in the sources I reviewed.
- Argilla is positioned around dataset and feedback workflows rather than model training.
Sources
- docs.argilla.io/v2.0/getting_started/faq
- docs.argilla.io/latest/getting_started/quickstart
- argilla.io/terms-of-use
- argilla.io/about
- argilla.io/blog/argilla-joins-hugggingface
- argilla.io/blog/recognai-rubrix-evolve-into-argilla
- docs.argilla.io/latest
- docs.argilla.io/latest/getting_started/faq
- docs.argilla.io/latest/reference/argilla/client
- docs.argilla.io/latest/how_to_guides/webhooks
- docs.argilla.io/latest/community/integrations/llamaindex_rag_github
- argilla.io/privacy-policy
- docs.argilla.io/latest/reference/argilla-server/telemetry