Label Studio is a multi-type data labeling and annotation tool with standardized output format
- Sprache
- TypeScript
- Lizenz
- Apache-2.0
- Sterne
- 28k
- Neuestes Release
- 1.23.2
- Letzter Push
- 2026-10-06
Annotate images, video, text and audio to build training and evaluation datasets.
Änderungen in dieser Kategorie (RSS)
| Tool | Sterne | Lizenz | Bedingungen | Selbst hostbar | Sprache | Neuestes Release | Letzter Push |
|---|---|---|---|---|---|---|---|
| Label Studio | 28k | Apache-2.0 | Open Source | Ja | TypeScript | 1.23.2 | 2026-10-06 |
| CVAT | 17k | MIT | Open Source | Ja | Python | v2.77.0 | 2026-10-06 |
| Labelme | 16k | GPL-3.0 | Open Source | Ja | Python | v7.8.0 | 2026-10-05 |
| doccano | 11k | MIT | Open Source | Ja | Python | v1.8.5 | 2026-04-14 |
| X-AnyLabeling | 11k | GPL-3.0 | Open Source | Ja | Python | v4.1.0 | 2026-10-06 |
| Argilla | 5.1k | Apache-2.0 | Open Source | Ja | Python | v2.8.0 | 2026-10-06 |
6 Tools
Label Studio is a multi-type data labeling and annotation tool with standardized output format
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Open source annotation tool for machine learning practitioners.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets