# rerun-io/rerun

Visualize, query, and stream to train on multimodal robotics data.

Repository: https://github.com/rerun-io/rerun
Canonical: https://ross.abutalabs.com/products/rerun
Homepage: https://rerun.io/
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: visualization, computer-vision, python, robotics, rust, multimodal, cpp
Last push: 2026-08-26T20:03:11+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 1608, "days_push": 7, "days_rel": 7, "gap_med": 9.5, "n_releases_24m": 51}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11362, forks 831 (observed 2026-08-28T04:10:46.847010+00:00)

## What it is
Rerun is an open-source SDK and viewer for logging, storing, querying, and visualizing multi-rate multimodal data such as images, point clouds, transforms, and time series, built in Rust with Python, Rust, and C++ APIs. It serves as a unified data layer for robotics and physical AI, from raw sensor recordings through SQL/dataframe queries to streaming datasets into training.

## Use cases
- visualize robot sensor logs with images and point clouds in sync
- debug SLAM and perception pipelines with live CV visualization
- query multimodal robotics recordings with SQL or dataframes
- convert MCAP or LeRobot datasets to rrd and stream to PyTorch training
- log and inspect depth images, joint states, and transforms from a robot
- review egocentric rig and simulation data side by side

## When to choose
- you work with robotics, drones, or spatial AI and need to visualize multimodal time-aligned data
- you want one toolchain from sensor logging through dataset curation to training
- you need a fast interactive viewer for images, point clouds, and time series
- you want to query recordings with SQL instead of writing custom export scripts

## When to avoid
- you only need generic business dashboards or BI charts
- your data is purely tabular with no spatial or temporal multimodal component
- you need a managed multi-user data catalog without self-hosting (that requires the commercial Rerun Hub)

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, computer-vision, machine-learning, etl, analytics, sdk
- domain: robotics, computer-vision, machine-learning, data-visualization, autonomous-vehicles, developer-tools
- platform: python, rust, cpp, cross-platform, cli
- tags: multimodal-data, point-clouds, time-series, mcap, rrd-format, dataloader, sql-queries, spatial-ai, egui, viewer, web, desktop

## Member repositories
- rerun-io/rerun (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.847010+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:41.888355+00:00, confidence not recorded.
  - readme: https://github.com/rerun-io/rerun (fetched 2026-08-28T04:10:46.847010+00:00, sha 91813b35d41a)
  - homepage: https://rerun.io/ (fetched 2026-08-29T08:14:38.744655+00:00, sha fc901aeccd1d)
  - site_page: https://rerun.io/docs/overview/what-is-rerun (fetched 2026-08-29T08:14:38.747683+00:00, sha fd512ed38b91)
  - site_page: https://rerun.io/docs/getting-started/quick-start (fetched 2026-08-29T08:14:38.749653+00:00, sha 25bb4d04c868)
  - site_page: https://rerun.io/docs (fetched 2026-08-29T08:14:38.761606+00:00, sha 1e0c9cfe8c52)
  - site_page: https://rerun.io/docs/reference/types/archetypes (fetched 2026-08-29T08:14:38.805639+00:00, sha 63ff58dc732b)
  - site_page: https://rerun.io/about (fetched 2026-08-29T08:14:38.808283+00:00, sha 0a7eb5b5a47f)
  - site_page: https://rerun.io/pricing (fetched 2026-08-29T08:14:38.788388+00:00, sha b76fcc571c34)
- Data as of 2026-08-30T08:39:29.467469+00:00.