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Argilla vs Label Studio

Argilla

argilla.io

Label Studio

labelstud.io

Side by side

FigureArgillaLabel Studio
Price fromFree$99/mo
Free planYesYes
Free trial—Yes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · AI Data Labeling Tools8.2 (#7)8.9 (#1)
Spec score · Data Labeling Software8.2 (#8)9.0 (#1)
DeploymentArgilla can be deployed on Hugging Face Spaces or on a local machine or server using Docker Compose.Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda.
IntegrationsThe docs describe compatibility with Hugging Face and spaCy, and tutorials show integrations with SetFit and LlamaIndex.The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations.
PurposeArgilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning.
SupportThe product site directs users to its community for support and use-case discussion.Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs.

Plans

Argilla

  • ArgillaFree

Argilla pricing →

Label Studio

  • Community EditionFree
  • Starter Cloud$99 a month
  • EnterprisePriced on request

Label Studio pricing →

In their own words

Argilla

Argilla is a free collaboration tool for AI engineers and domain experts building datasets with human feedback. It supports NLP, LLM, and multimodal projects, including classification, named entity recognition, retrieval-augmented generation, and preference tuning. Contributors can provide labels, ratings, rankings, and written responses; annotation tools include filters, AI feedback suggestions, and semantic search. The system handles text and images, while custom fields can represent audio, video, or other content rendered as base64 or HTML. It is compatible with Hugging Face and spaCy, and tutorials cover SetFit and LlamaIndex. Deployment options include Hugging Face Spaces or a local machine or server using Docker Compose. A Python SDK connects to an Argilla server with an API URL and key, and the server exposes REST API documentation. Datasets and records can be moved to or from Python, local disk, and the Hugging Face Hub. Argilla supports OAuth2 through Hugging Face, GitHub, and Google by default. It does not train models; on Hugging Face Spaces, data on ephemeral free storage is lost when the Space restarts.

Visit argilla.io

Label Studio

Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.

Visit labelstud.io