Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% month-over-month growth and Freemium, Contact for Pricing, Free pricing. Rerun records 54,018 monthly visits with -23.7% growth and Free pricing.

The open-source data layer for robotics and physical AI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | wandb.ai | rerun.io |
| Pricing Model | Freemium, Contact for Pricing, Free | Free |
| Monthly Visits | 315.62K (315,624) | 54.02K (54,018) |
| MoM Traffic Delta | -1.28M (-80.2%) | -16.78K (-23.7%) |
| Primary Market & Share | 🇺🇸 United States (32.2%) | 🇺🇸 United States (33.9%) |
| Direct Visits / mo | 230.88K | 24.88K |
| User Rating | 4.7 | 4.6 |
| Supported Platforms | Website | Website |

Track, evaluate, and ship AI models and agents in one connected environment.
Log metrics, losses, and media from training runs and compare them side by side in interactive charts to spot what actually improves your model.
Run automated hyperparameter sweeps and visualize parameter importance so you can converge on better configurations faster.
Version datasets and model artifacts, track lineage, and promote models through a registry from training to production.
Build, log, and evaluate LLM prompts and applications, with tracing and evaluation tools grouped under an LLMOps workflow.

The open-source data layer for robotics and physical AI
Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
Add derived columns and evolve schemas without breaking history, on the edge or near the data.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistThe multimodal data layer for computer vision and physical AI teams
SpecialistThe multimodal data layer for computer vision and physical AI teams

Free / Open-sourceLabel any data. Evaluate any AI.

SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceFind where your physical AI models fail, then fix the data.
Free / Open-sourceFind where your physical AI models fail, then fix the data.

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.

Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do