Label Studio
Flexible, multi-type data labeling platform for modern ML pipelines.
- Stars
- 26,212
- License
- Apache-2.0
- Last commit
- 3 hours ago
TypeScriptActive
Best Data Labeling & Annotation Tools
Explore leading tools in the Data Labeling & Annotation category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
5 open-source projects · 3 SaaS products
Top open-source Data Labeling & Annotation
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.
- Stars
- 15,493
- License
- GPL-3.0
- Last commit
- 1 day ago
PythonActive
- Stars
- 15,152
- License
- MIT
- Last commit
- 55 minutes ago
PythonActive
doccano
Collaborative web‑based text annotation for fast ML dataset creation
- Stars
- 10,497
- License
- MIT
- Last commit
- 4 days ago
PythonActive
- Stars
- 4,817
- License
- Apache-2.0
- Last commit
- 1 day ago
PythonActive
Most starred project
26,212★
Flexible, multi-type data labeling platform for modern ML pipelines.
Recently updated
55 minutes ago
CVAT provides an interactive web interface to label images and videos, supporting dozens of formats, Docker deployment, SDK, CLI, and integrations with Roboflow and HuggingFace for scalable data annotation.
Popular SaaS Platforms to Replace
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
Datasaur
NLP data labeling platform with AI-assisted automation, quality workflows, and private LLM options
Data Labeling & Annotation
Alternatives tracked
5 alternatives
SuperAnnotate
AI data labeling & evaluation platform for images, video, text, audio, and more
Data Labeling & Annotation
Alternatives tracked
5 alternatives
Supervisely
Computer vision labeling platform for images, video, LiDAR, and medical with AI-assisted tools
Data Labeling & Annotation
Alternatives tracked
5 alternatives
Most compared product
5 open-source alternatives
Datasaur speeds up text/audio labeling with predictive/automated labeling, QA/consensus workflows, and enterprise governance—plus products like Data Studio and LLM Labs for model experimentation and private LLM deployments.
Leading hosted platforms
Frequently replaced when teams want private deployments and lower TCO.
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