Argilla

What is Argilla?

Argilla is a free, open-source collaboration tool that helps AI engineers and domain experts build and maintain high-quality datasets for language models. It holds your training data and model outputs, lets you assess model quality, and refines the data through feedback from both people and AI. Text and images are supported out of the box, and custom fields can represent audio, video or other content rendered as HTML. Argilla 2.x is the current line, and the older 1.x releases reached end-of-life in June 2025. It is built from a Python SDK, a FastAPI server, a relational database, a vector database on Elasticsearch or OpenSearch, and a Vue.js interface that ships in the same Docker image. It works alongside Hugging Face Transformers and spaCy, and deploys on Hugging Face Spaces or your own infrastructure. Argilla does not train models or generate synthetic data itself, since its companion library distilabel covers that. There is no pricing to pay for the software.

Use cases

• Collect human feedback on LLM outputs
• Label text data for fine-tuning
• Review and evaluate model responses
• Curate datasets for RAG evaluation
• Assign annotation records to a team
• Monitor model predictions and collect more data
• Combine human and AI feedback on datasets

Who it's for

• AI engineers
• NLP practitioners
• Data scientists
• Domain experts

Why use Argilla

• It is free and open source, so you keep full ownership of your data.
• Domain experts and engineers work in one interface, which speeds up feedback loops.
• It integrates with common NLP libraries, so it fits an existing MLOps stack.
• You can start with a single use case and expand later instead of committing to an all-in-one suite.
• Hugging Face Spaces deployment gets a team started without managing servers.

Argilla features

• Annotation interface for text and images
• Custom fields for audio, video and HTML content
• Python SDK installable with pip
• FastAPI server with a REST API
• Vector search on Elasticsearch or OpenSearch
• Human and AI feedback on datasets
• Record assignment across a team
• Metadata and filtering to query datasets
• Deployment on Hugging Face Spaces or Docker
• Compatibility with Hugging Face and spaCy

Argilla integrations

• Hugging Face
• spaCy
• distilabel
• Elasticsearch
• OpenSearch
• PostgreSQL
• LangChain
• LlamaIndex

How to get started with Argilla

1. Deploy Argilla on Hugging Face Spaces or with Docker on your own infrastructure.
2. Install the Python SDK and define a dataset with the fields and questions reviewers will answer.
3. Log records and, optionally, model suggestions to the dataset.
4. Assign records to annotators and collect their responses in the web interface.
5. Export the curated data and use it to fine-tune or evaluate a model with your framework of choice.

Argilla limitations

• You host and operate Argilla yourself, on Hugging Face Spaces or your own servers
• It does not train models or generate synthetic data
• It does not provide an in-house annotation workforce
• The 1.x line has reached end-of-life

Argilla pricing

Argilla is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Argilla alternatives

The main Argilla alternatives listed on Debuly are Label Studio, Encord, Galileo, Kiln, Cortex AI and Pydantic AI. The table compares pricing and platforms; order is A–Z.

1. 

   Cortex AI

   Real-world egocentric and robot training data for embodied AI, plus a beta platform for steering robots with AI models.

   Developer platformsAutomation and agents
   Visit Cortex AI (official site)
2. 

   Encord

   Multimodal data platform for AI teams to curate, annotate and evaluate image, video, DICOM, audio, document and text data.

   Developer platformsAutomation and agentsResearch and search
   Contact salesVisit Encord (official site)
3. 

   Galileo

   AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.

   Developer platformsAutomation and agents
   FreemiumVisit Galileo (official site)
4. 

   Kiln

   Free desktop app and MIT-licensed Python library for evals, prompt optimization, fine-tuning and synthetic data, with datasets synced through Git.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Kiln (official site)
5. 

   Label Studio

   Open source data labeling platform for images, video, audio, text and time series, with paid Starter Cloud and Enterprise editions.

   Developer platformsAutomation and agents
   Open sourceVisit Label Studio (official site)
6. 

   Pydantic AI

   A type-safe, model-agnostic Python framework for building agents and LLM applications, from the team behind Pydantic.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Pydantic AI (official site)

Argilla FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from argilla.io · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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