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Rerun

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Data layer for physical AI: visualize, query, transform, and train on multimodal robotics data.

Computer VisionAI Data LabelingData Visualization
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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Free and open-source SDK with full toolchain for local use

Biggest con

Commercial Hub requires contacting sales for pricing and setup

TL;DR - Rerun

  • Open-source SDK for logging, storing, querying, visualizing, and training on multi-rate, multimodal physical data.
  • Commercial Hub provides managed catalog, byte-range indexing, and streaming to GPUs for scalable production use.
  • Supports Python, Rust, C++ APIs with SQL/dataframe queries and a declarative visualization framework.
Pricing: Free plan available
Best for: Growing teams

What is Rerun?

Editorial review
Rerun is an open-source SDK and commercial platform designed as a unified data layer for physical AI, particularly robotics and multimodal sensor data. The open-source SDK provides tools for logging, storing, querying, visualizing, and training on multi-rate, multimodal data, with native APIs in Python, Rust, and C++. It includes an interactive viewer, a declarative visualization framework, SQL and dataframe query capabilities, and a PyTorch dataloader for direct streaming of recordings to GPUs. The columnar .rrd file format enables efficient storage and retrieval of temporal data. The commercial Rerun Hub extends the SDK with a managed catalog, byte-range indexing across object stores, and streaming dataset mixes for training. It provides single-tenant isolation, authentication/SSO, and deployment in the customer's preferred cloud region, all while keeping data in the customer's own S3-compatible buckets. Rerun is built with a focus on open source stewardship, contributing to projects like egui and wgpu.
how we evaluateSourcererun.io ↗

Pros & Cons

Pros

  • Free and open-source SDK with full toolchain for local use
  • Supports multiple programming languages (Python, Rust, C++)
  • Unified data layer covering visualization, query, transform, and training

Cons

  • Commercial Hub requires contacting sales for pricing and setup
  • Primarily designed for physical AI and robotics, may be overkill for simpler data use cases

Key Features

Log, store, and convert multi-rate multimodal data in columnar .rrd filesSQL and dataframe queries across recordings and catalogDeclarative visualization framework with interactive viewer (desktop + web)PyTorch dataloader for streaming recordings directly to GPUsByte-range indexing for fast lookups across object storesCatalog and metadata management with single-tenant isolationAuth and SSO for team collaborationDeployment in customer's own cloud region with S3-compatible storage

Pricing Plans

Pricing checked Aug 1, 2026

Open source SDK

Free forever

  • Free Apache-2.0 / MIT
  • Install the SDK pip install rerun-sdk
  • Python, Rust, and C++ APIs
  • Interactive viewer (desktop + web)
  • SQL and dataframe queries
  • Declarative visualization framework
  • PyTorch dataloader
  • Layers and a local catalog

Commercial Hub

Contact us

  • Everything in the SDK
  • A persistent, managed catalog
  • Byte-range indexing across your object stores
  • Dataset mixes streamed to your GPUs from object storage
  • Link sharing across your team
  • Auth and SSO
  • Single-tenant isolation, in the region you choose
  • Your data in your own S3-compatible buckets
Calculate your costView full pricing

Is Rerun worth the price?

75/100

The free open-source SDK is genuinely generous, offering a full-featured local solution with no cost, ideal for individual developers and small teams.

The Commercial Hub's 'contact us' pricing suggests it is likely expensive, targeting enterprises with managed infrastructure, SSO, and dedicated support. Best for teams that need scalable, secure data management for physical AI workloads.

Hidden Costs & Gotchas

Commercial Hub likely charges per data volume or storage

No self-serve pricing; requires sales call

Potential minimum commitment for dedicated support

Byte-range indexing may incur object store egress fees

Single-tenant isolation may add infrastructure costs

How Rerun Compares to Competitors

Compared to Foxglove, Rerun's free tier offers more open-source flexibility and local control, while Foxglove focuses on real-time visualization with a hosted platform. Against Roboflow, Rerun targets raw multimodal data pipelines rather than pre-labeled computer vision datasets, making it more suited for custom robotics workflows. The Commercial Hub's enterprise features likely command a premium similar to other managed data infrastructure tools.

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Rerun FAQ

What types of data does Rerun handle?

Rerun handles multi-rate, multimodal data common in physical AI, such as sensor streams, camera images, lidar scans, robot state logs, and any time-series data with spatial or temporal structure.

Can I use Rerun with my existing object storage (e.g., S3)?

Yes, Rerun Hub is designed to work with your own S3-compatible object stores, keeping your data in your buckets while providing byte-range indexing and catalog management.

How does Rerun support training on recorded data?

Rerun includes a PyTorch dataloader that can stream dataset mixes directly from object storage to GPUs, enabling training without an explicit export step. The dataloader is column-aware and video-codec-aware.

What programming languages are supported by the Rerun SDK?

The Rerun SDK offers native APIs in Python, Rust, and C++, with all three sharing the same underlying data model and capabilities.

Is the Rerun viewer available as a web application?

Yes, the interactive viewer is available both as a desktop application and as a web application, built with WebGPU and WebGL support via the egui and wgpu projects.

How does Rerun handle multi-rate data (different frequencies for different sensors)?

Rerun stores data in columnar chunks indexed by time, so multi-rate data is naturally handled by logging each sensor at its own frequency, and queries can align timestamps across streams.

Can I deploy Rerun Hub in my own cloud region?

Yes, Rerun Hub is single-tenant and can be deployed in the cloud region you choose, ensuring data residency and compliance requirements.

What is the difference between the open-source SDK and Rerun Hub?

The open-source SDK is a free, local toolchain for logging, querying, visualizing, and training. Rerun Hub is a commercial managed backend that provides a persistent catalog, byte-range indexing across object stores, and multi-user collaboration features.

Source: rerun.io

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