# Appen vs Doccano

**Leader by vioscaleAI score:** Appen

| Attribute | Appen | Doccano |
|---|---|---|
| **vioscaleAI score** | 54.7 (39% (low)) | 40.3 (57% (medium)) |
| activity.commits_last_30d | - | 0 |
| adoption.dependent_repos | - | 7 |
| adoption.github_stars | - | 10,798 |
| content.faq | `[{"answer":"A data annotation platform that combines human expertise with automation to produce high-quality training data for frontier AI models. Supports multiple modalities including text, images, audio, video, and 3D data for AI development. It is indexed under Data Labeling.","source":"https://appen.com","question":"What is Appen?","confidence":0.6},{"answer":"We have confirmed browser-based access to Appen. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://appen.com","question":"What platforms does Appen support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Appen, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://appen.com","question":"Can Appen be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for Appen, including IBM Watson, AWS and Azure. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://appen.com","question":"What does Appen integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for Appen. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Appen not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.appen.com/ai-regulatory-compliance","question":"What security certifications does Appen have?","confidence":0.7},{"answer":"Appen is available worldwide. The vendor is headquartered in Australia.","source":"https://appen.com","question":"Where is Appen available?","confidence":0.75}]` | `[{"answer":"A web-based data labeling tool that enables users to annotate text for machine learning tasks including text classification, sequence labeling, and sequence-to-sequence tasks. Projects can be set up by uploading datasets and working through annotations collaboratively via a browser interface or REST API. It is indexed under Data Labeling.","source":"https://doccano.github.io/doccano/","question":"What is Doccano?","confidence":0.6},{"answer":"Doccano is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.","source":"https://doccano.github.io/doccano/","question":"Is Doccano free to use?","confidence":0.6},{"answer":"Doccano supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://doccano.github.io/doccano/","question":"What platforms does Doccano support?","confidence":0.6},{"answer":"Yes. Doccano can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://doccano.github.io/doccano/","question":"Can Doccano be self-hosted?","confidence":0.6},{"answer":"Yes. Doccano is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/doccano/doccano","question":"Is Doccano open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A data platform providing expert-reviewed training datasets, human feedback for model alignment, and quality assurance services to support the development and improvement of AI models at scale. | An open-source tool that enables humans to label text data for machine learning tasks like text classification, sequence labeling, and sequence-to-sequence problems. Users can prepare labeled datasets for applications such as sentiment analysis, named entity recognition, and text summarization. |
| features.capabilities | `{"rlhf_preference_data":true}` | `{"open_source":true,"on_prem_private_cloud":true,"programmatic_labeling":true}` |
| integrations.count | 3 | 0 |
| integrations.list | `[{"name":"IBM Watson"},{"name":"AWS"},{"name":"Azure"}]` | - |
| language.primary | - | Python |
| license.spdx | - | MIT |
| market.availability | `{"hqCountry":"AU","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"web":true}` |
| pricing | - | `{"type":"open_source","sourceUrl":"https://doccano.github.io/doccano/","retrievedAt":"2026-10-13T22:35:56.686Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | - | open_source |
| pricing.price_level | - | free |
| pricing.transparent | - | yes |
| release.cadence_days | - | 10 |
| release.history | - | `[{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.5","date":"2026-01-11T15:19:29Z","type":"stable","version":"v1.8.5"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.4","date":"2023-07-20T12:01:51Z","type":"stable","version":"v1.8.4"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.3","date":"2022-12-08T12:12:53Z","type":"stable","version":"v1.8.3"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.2","date":"2022-11-29T02:07:31Z","type":"stable","version":"v1.8.2"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.1","date":"2022-11-28T02:36:08Z","type":"stable","version":"v1.8.1"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.8.0","date":"2022-07-11T02:46:10Z","type":"stable","version":"v1.8.0"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.7.0","date":"2022-05-19T08:52:05Z","type":"stable","version":"v1.7.0"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.6.2","date":"2022-03-14T05:33:45Z","type":"stable","version":"v1.6.2"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.6.1","date":"2022-03-14T01:33:47Z","type":"stable","version":"v1.6.1"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.6.0","date":"2022-03-11T06:30:30Z","type":"stable","version":"v1.6.0"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.5","date":"2021-12-03T05:38:10Z","type":"stable","version":"v1.5.5"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.4","date":"2021-12-01T01:55:21Z","type":"stable","version":"v1.5.4"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.3","date":"2021-11-30T23:28:14Z","type":"stable","version":"v1.5.3"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.2","date":"2021-11-09T06:03:39Z","type":"stable","version":"v1.5.2"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.1","date":"2021-11-05T05:41:26Z","type":"stable","version":"v1.5.1"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.5.0","date":"2021-10-25T06:03:17Z","type":"stable","version":"v1.5.0"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.4.1","date":"2021-05-25T01:28:02Z","type":"stable","version":"v1.4.1"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.4.0","date":"2021-05-18T02:07:49Z","type":"stable","version":"v1.4.0"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.3.1","date":"2021-04-26T05:55:52Z","type":"stable","version":"v1.3.1"},{"url":"https://github.com/doccano/doccano/releases/tag/v1.3.0","date":"2021-04-21T07:23:08Z","type":"stable","version":"v1.3.0"}]` |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.scorecard | - | 4.6 |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=doccano&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Data Labeling)

| Capability | Appen | Doccano |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Model assisted labeling | - | - |
| Programmatic labeling | - | ✓ |
| Rlhf preference data | ✓ | - |
| On prem private cloud | - | ✓ |
| Open source | - | ✓ |
| SOC2 | - | - |

*Source: vioscaleAI. Generated 2026-10-16T19:15:27.885Z. "-" = undocumented, not absent.*