Doccano
7.0#4 in data labeling softwareFree planFree planWebAPILinuxmacOS
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| Fact | Doccano | Label Studio |
|---|---|---|
| Deployment | The repository lists one-click deployment options for AWS and Heroku, and the guide supports installation locally or in the cloud. | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. |
| Founded | 2018 | HumanSignal is listed as founded in 2019. |
| Integrations | The auto-labeling guide demonstrates Amazon Comprehend Sentiment Analysis and allows users to configure a custom REST API. | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. |
| Purpose | Doccano is an open-source text annotation tool for machine-learning practitioners. | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. |
Doccano suits machine-learning practitioners creating labeled text datasets for tasks such as sentiment analysis, entity recognition, and summarization. Teams can collaborate on annotations or connect scripts through its REST API.
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.