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Guild AI

by Community

Experiment tracking, ML developer tools

GA

OSS

Guild AI

Added 1 June 2026

Overview

Guild AI is an open-source experiment tracking tool for machine learning. It logs metrics, hyperparameters, and outputs from Python scripts, enabling developers to compare runs and reproduce results via a command-line interface and Python API.

Best for

Best for
Individual developers or small teams seeking a simple, local experiment tracker without heavy infrastructure.

Use cases

  • Track hyperparameter sweeps and log results for comparison
  • Reproduce previous ML experiments with saved configurations
  • Integrate experiment logging into existing Python training scripts

Notes

Guild AI is an open-source experiment tracking tool for machine learning. It logs metrics, hyperparameters, and outputs from Python scripts, enabling developers to compare runs and reproduce results via a command-line interface and Python API.

899 stars on GitHub. Last updated 2025-04-29. Licensed Apache-2.0.

Use cases

  • Track hyperparameter sweeps and log results for comparison
  • Reproduce previous ML experiments with saved configurations
  • Integrate experiment logging into existing Python training scripts

Pros

  • Lightweight and easy to set up in local environments
  • Works seamlessly with standard Python ML code without vendor lock-in
  • Free and open-source with no server required for basic use

Cons

  • Smaller community and fewer integrations than established tools like MLflow
  • Limited built-in visualization and dashboard capabilities
  • Development activity appears slower than competing open-source projects

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Lightweight and easy to set up in local environments
  • Works seamlessly with standard Python ML code without vendor lock-in
  • Free and open-source with no server required for basic use

Cons

  • Smaller community and fewer integrations than established tools like MLflow
  • Limited built-in visualization and dashboard capabilities
  • Development activity appears slower than competing open-source projects
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