Overview
5 featuresIn the Data science & ML workbench space, LiteRunner takes a focused approach. It focuses on managing and tracking local runs of generative models efficiently from the command line. It is built as an open-source project for machine learning engineers. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.
It is developed by moonmath-ai, and it first shipped in 2026. The project is developed in the open on GitHub with 29 commits in the last 90 days. Key capabilities include model runner, local execution, and W&B integration.
- ✓Model runner
- ✓Local execution
- ✓W&B integration
- ✓CLI interface
- ✓MIT licensed
Tagsmodel-runnerwandb-trackinggenerative-modelscli-toollocal-inference
AI capabilitiesText
Inference: LocalWeights: Open
Built with & integrations
Runs onBrowserCLISelf-hosted
Indexing history
1What PulseGate has recorded for this listing
Indexed16 Jun · 06:06 UTC
Listing verified against its public source
Frequently asked questions about LiteRunner
- What is LiteRunner?
- LiteRunner focuses on managing and tracking local runs of generative models efficiently from the command line. It is catalogued under Data science & ML workbench on PulseGate.
- Who should use LiteRunner?
- LiteRunner is an open-source project built for machine learning engineers.
- Is LiteRunner free?
- Yes — LiteRunner is open source under the MIT license and free to use.
- What platforms does LiteRunner run on?
- LiteRunner runs on the web and the command line. It can also be self-hosted.
- Is LiteRunner still maintained?
- The GitHub repository shows 29 commits in the last 90 days.
- Who makes LiteRunner?
- LiteRunner is developed by moonmath-ai.
- When did LiteRunner launch?
- LiteRunner first shipped in 2026.
- Is LiteRunner open source?
- Yes — LiteRunner is open source under the MIT license, developed on GitHub.