Official repo of VLABench, a large scale benchmark designed for fairly evaluating VLA, Embodied Agent, and VLMs.
Evaluate and benchmark AI models for robotics and embodied agents.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOfficial repo of VLABench, a large scale benchmark designed for fairly evaluating VLA, Embodied Agent, and VLMs.
VLABench has 450 stars on GitHub. It has been forked 37 times. VLABench is written mainly in Python. It has been in active development since 2024. VLABench is available under the MIT license. Its main topics are embodied, foundation-models, robotics.
Official repo of VLABench, a large scale benchmark designed for fairly evaluating VLA, Embodied Agent, and VLMs.
VLABench is an open-source project. It is released under the MIT license.
Yes. VLABench is free and open source — you can use, modify and self-host it.
VLABench is available under the MIT license.
VLABench is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/openmoss-vlabench.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.