HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #232 of 2,841 repositories GStars tracks this week (top 8%).
3 releases in the last 90 days, the latest today, with 150 contributors on GitHub.
Peaked at #71 in the weekly ranking the week of Oct 12, its best in the past year.
Use Cases & Benefits
- Provides a multi-type data labeling and annotation tool supporting images, audio, text, video, and time series with standardized export formats.
- Enables integration with machine learning models for pre-labeling, active learning, and online retraining to improve annotation efficiency and model accuracy.
- Use for preparing and annotating diverse datasets in computer vision projects like image classification and semantic segmentation.
- Use for integrating into ML pipelines to automate and streamline data labeling with REST API and cloud storage support.
- Use for collaborative multi-user projects requiring customizable labeling interfaces and management of multiple datasets in one instance.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models.
Have a custom dataset? You can customize Label Studio to fit your needs. Read an introductory blog post to learn more.
Install Label Studio locally or deploy it in a cloud instance. Or sign up for a free trial of our Starter Cloud edition! You can learn more about what each edition offers here.
Official Label Studio docker image is here and it can be downloaded with
docker pull. Run Label Studio in a Docker container and access it athttp://localhost:8080.You can find all the generated assets, including SQLite3 database storage
label_studio.sqlite3and uploaded files, in the./mydatadirectory.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
3.7K+112
Open issues
952+53
Compared with peers in Computer Vision
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 4, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 68.7K | +3.5K | 75 | 3 days ago |
| roboflow/supervision | 51.2K | +0 | 75 | 1 day ago |
| paperless-ngx/paperless-ngx | 46.5K | +0 | 65 | 4 days ago |
| lovell/sharp | 32.7K | +0 | 75 | 9 days ago |
| HumanSignal/label-studio | 28.4K | +0 | 45 | today |
| icereed/paperless-gpt | 2.7K | +0 | 75 | 2 days ago |
| Category median | 46.5K | +0 | 75 | — |
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