Skip to content
Back to the index

LiteRunner

github.comInfrastructure

PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jun 2026. How this is checked

Runner for generative models with local and W&B tracking.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hosted
LiteRunner preview
Visit github.com
2stars
5features
2026since

Overview

5 features

Purpose: Managing and tracking local runs of generative models efficiently from the command line.

Inferred · not functionally tested

Audience: machine learning engineers

Inferred · not functionally tested

Functions: monitoring

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

In the Inference & model serving space, LiteRunner takes a focused approach. Inferred · not functionally tested: It focuses on managing and tracking local runs of generative models efficiently from the command line. Inferred · not functionally tested: It is built as an open-source project for machine learning engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: 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. Inferred · not functionally tested: Key capabilities include model runner, local execution, and W&B integration. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Model runner
  • Local execution
  • W&B integration
  • CLI interface
  • MIT licensed

Topics: Inferred · not functionally tested

Tags
model-runnerwandb-trackinggenerative-modelscli-toollocal-inference
AI capabilities
Text
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multiple
Connectors
API
Runs on
BrowserCLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about LiteRunner

What is LiteRunner?
Inferred · not functionally tested: LiteRunner focuses on managing and tracking local runs of generative models efficiently from the command line. It is catalogued under Inference & model serving on PulseGate.
Who should use LiteRunner?
Inferred · not functionally tested: LiteRunner is an open-source project built for machine learning engineers.
Is LiteRunner free?
Basis unknown · not verified: Yes — LiteRunner is open source under the MIT license and free to use.
What platforms does LiteRunner run on?
Basis unknown · not verified: LiteRunner runs on the web and the command line. It can also be self-hosted.
Is LiteRunner still maintained?
PulseGate's liveness check found it on 9 Oct 2026. Its 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?
Basis unknown · not verified: Yes — LiteRunner is open source under the MIT license, developed on GitHub.

Similar projects

Closest matches by what these projects do