Argilla
Open-source data-quality platform for LLM training data — human-in-the-loop labelling, RLHF data collection, dataset curation. Acquired by Hugging Face 2024.
Acquired · Verified 2026-10-29 · fresh as of 2026-10-29 · 20 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Data-quality + labelling for LLMs vendor fix
- Tier
- T2
- Section
- Training infrastructure
- Latest release
- v2.8.0 (2025-03-10) registry fix
- License
- Apache-2.0 vendor fix
- Pricing
- searched not found fix
- Freshness
- 2026-10-29 fix
- Layer
- model-infra repo fix
- Licensing
- open-source vendor fix
- Developer activity
- OpenRank 0.2 (12-mo avg 0.93) · 7 participants — 2026-09 third-party fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
Acquired by Hugging Face 2024-06.
Technical surface
- API surface
- Python SDK
- Backend storage
- searched not found
- Deployment
- Self-hosted only — server deployed via Hugging Face Spaces template; Python SDK client
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other training infrastructure in the catalog, ranked by inbound references.
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- Weights & Biases T1
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- Comet ML T2
ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.
- Azure Machine Learning T1
Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.
- LoRA T3
Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.
Sources (19 cited facts, 2 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Data-quality + labelling for LLMs vendor
- What it does & what's distinct Open-source data-quality platform for LLM training data — human-in-the-loop labelling, R… vendor
- Claims / benefits Acquired by Hugging Face 2024-06. vendor
- Created 2021 vendor
- Latest release v2.8.0 (2025-03-10) registry
- License Apache-2.0 vendor
- GitHub argilla-io/argilla — ~5.2k stars, last commit 2025-08 repo
- Funding Acquired by Hugging Face in 2024-06; previously seed-funded (~$2M, 2022). registry
- Customers / scale Now part of Hugging Face ecosystem; used by Allen AI, Cohere, BAAI, IBM. vendor
- Deployment Self-hosted only — server deployed via Hugging Face Spaces template; Python SDK client repo
- HQ Spain (Madrid); now integrated with Hugging Face (NYC/Paris). third-party
- Founders / pedigree Daniel Vila-Suero, Francisco Aranda; founded 2022 (Recognai spinout); acquired by HF 202… registry
- Code/weights release Active — last commit 2026-04 · 4,971★ repo
- API surface Python SDK repo
- architecture-deployment-locus hybrid repo
- licensing-bucket open-source vendor
- positioning-platform-vs-product platform repo
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":10.18,"as_of":"2026-09","openrank_12mo":0.93,"openrank_current":0.2,"partici… third-party
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
Related systems
Referenced by (2)
- LiteLLM integrates with — LiteLLM docs have an Argilla logging/observability integration page. (verified 2026-10-29)
- LlamaIndex (framework) integrates with — LlamaIndex has an official callback/observability integration package llama-index-callbacks-argilla in its repo. (verified 2026-10-29)