rerun-io/rerun
Visualize, query, and stream to train on multimodal robotics data.
Build with Backblaze B2
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.
5 releases in the last 90 days, the latest 2 days ago, with 194 contributors on GitHub.
Peaked at #32 in the weekly ranking the week of Jan 25, its best in the past year.
Use Cases & Benefits
- Visualize, query, and stream multimodal robotics data including images, point clouds, and tensors with time-aware logging and playback.
- Enables live and recorded visualization of complex sensor data streams with easy SDK integration in Rust, Python, and C++.
- Use for debugging robotics perception by visualizing sensor fusion data like lidar, RGB cameras, and segmentation over time.
- Use for creating and extracting clean datasets from recorded multimodal data to train and evaluate AI models.
- Use for monitoring and analyzing industrial or embodied AI processes involving evolving 2D, 3D, and temporal sensor data.
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
Rerun is building the multimodal data stack to model, ingest, store, query and view robotics-style data. It's used in areas like robotics, spatial and embodied AI, generative media, industrial processing, simulation, security, and health.
Rerun is easy to use! Use the Rerun SDK (available for C++, Python and Rust) to log data like images, tensors, point clouds, and text. Logs are streamed to the Rerun Viewer for live visualization or to file for later use. You can also query the logged data through our dataframe API.
Get started in minutes – no account needed.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
890+67
Open issues
1.2K-37
Compared with peers in Computer Vision
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| blakeblackshear/frigate | 37.3K | — | 59 | 24 days ago |
| rerun-io/rerun | 11.7K | — | 65 | 2 days ago |
| HenryNdubuaku/maths-cs-ai-compendium | 7.7K | — | 10 | — |
| mindee/doctr | 6.4K | — | 61 | 79 days ago |
| aurelio-labs/semantic-router | 4.0K | — | 59 | 11 days ago |
| Category median | 7.7K | — | 59 | — |
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