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Guild AI

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What Guild AI is

Guild AI is an open-source experiment tracking tool for machine learning projects. It can run training scripts without modification and capture each run as a distinct experiment, recording flags, results, metadata, and source snapshots. Its batch operations support grid search, random search, and sequential Bayesian optimization. Guild View is a browser-based interface for browsing runs, files, and metadata and comparing results; Guild Compare displays runs in spreadsheet form and can export data as CSV. Guild integrates with TensorBoard and has integrations involving TensorFlow and Keras. Remote execution and synchronization support systems including SSH, EC2, S3, Azure VM, Azure Blob Storage, and GitHub Gists, with capabilities varying by type. Guild can work without a database or external systems, and installation options include pip, conda, Docker, and source code. It supports Linux, macOS, web, and Windows, while precompiled packages are listed for Linux, macOS 10.14 and 10.15, and Windows 10. Gist-published runs are public by default.

Who it suits

Guild AI suits machine learning practitioners who want to track runs, compare results, or run parameter searches. It may also fit users looking for an open-source tool with local and remote operation options.

What it does well

  • Tracks run flags, results, metadata, and source snapshots.
  • Supports grid, random, and Bayesian searches.
  • Compare runs in a spreadsheet and export CSV.
  • Can operate without databases or external systems.
  • Install through pip, conda, Docker, or source.

What to know first

  • GitHub Gist runs are public by default.
  • Remote capabilities vary by system type.
  • Random search defaults to 20 trials.
  • Summary files outside the run directory are not shown.

Limits

The random optimizer creates 20 trials by default; its maximum is adjustable with the max-trials option. Runs published to GitHub Gists are public by default until their visibility is changed.

Getting started

  1. Open the Guild AI website
  2. Install with pip, conda, Docker, or from source code
  3. Use the documented pip command: pip install guildai
  4. Run a training script to capture an experiment
  5. Open Guild View in a browser to inspect runs

Verdict

Guild AI provides experiment tracking, search operations, and run comparison in an open-source package. Review the default visibility of Gist runs and the system-specific limits before using remote features.

Questions

Is Guild AI free?

Yes. The listed pricing model is free, and the pricing note identifies it as open source.

Which platforms does Guild AI support?

Platforms listed are Linux, macOS, web, and Windows. Precompiled packages are listed for Linux, macOS 10.14 and 10.15, and Windows 10.

Can Guild AI track artifacts and datasets?

Yes. Artifact tracking and dataset versioning are listed capabilities.

Does Guild AI provide a model registry?

No. The listed model-registry capability is no.

What remote systems are supported?

Supported remote types include SSH, EC2, S3, Azure VM, Azure Blob Storage, and GitHub Gists, with different capabilities by type.

Facts from Guild AI's own pages

Experiment records
It records run details such as flags, results, metadata, and source code snapshots. · guildai.org, 3 Oct 2026
Experiment tracking
Guild can run unmodified training scripts and capture each run as a unique experiment. · guildai.org, 4 Oct 2026
Hyperparameter search
Built-in batch operations include grid search, random search, and sequential Bayesian optimization. · guildai.org, 3 Oct 2026
Installation
The getting-started guide says to install Guild AI with pip install guildai. · guildai.org, 4 Oct 2026
Install methods
The installation guide documents pip, conda, Docker, and source-code installation. · guildai.org, 3 Oct 2026
Integrations
The documentation describes TensorBoard support and integrations involving TensorFlow and Keras. · guildai.org, 3 Oct 2026
Local operation
The getting-started guide says Guild does not require databases or external systems. · guildai.org, 3 Oct 2026
Notable limit
The documentation says the random optimizer generates 20 trials by default, adjustable with the max-trials option. · guildai.org, 3 Oct 2026
Optimization
Guild supports grid search, random search, and Bayesian optimization. · guildai.org, 4 Oct 2026
Purpose
Guild AI is an open-source toolkit for automating and optimizing machine learning experiments. · guildai.org, 4 Oct 2026
Remote execution
Guild includes commands for running operations remotely and synchronizing remote runs. · guildai.org, 4 Oct 2026
Remote systems
Supported remote types include SSH, EC2, S3, Azure VM, Azure Blob Storage, and GitHub Gists, with different capabilities by type. · guildai.org, 3 Oct 2026
Result viewing
Guild View is a browser-based application for browsing runs, viewing metadata and files, and comparing results. · guildai.org, 3 Oct 2026
Run comparison
Guild Compare lets users review run results and compare experiment metrics. · guildai.org, 4 Oct 2026
Run comparisons
Guild Compare displays runs in a spreadsheet format and can export run data as CSV. · guildai.org, 3 Oct 2026
Run data
Guild stores run scalars in TensorBoard summary file format and does not show summary files written outside the run directory. · guildai.org, 4 Oct 2026
Security limit
Runs published to GitHub Gists are public by default, and users must change the gist visibility themselves to secure them. · guildai.org, 3 Oct 2026
Support
The Guild AI forum says its support systems are moving to GitHub and that the forum will be read-only. · guildai.org, 4 Oct 2026
Supported systems
The system requirements page lists Linux, macOS 10.14 and 10.15, and Windows 10 for precompiled packages. · guildai.org, 4 Oct 2026
TensorBoard
Guild integrates with TensorBoard and automatically generates HParam summaries from Guild runs. · guildai.org, 4 Oct 2026
Web interface
Guild View is a web application for viewing runs, comparing results, and viewing run files and output. · guildai.org, 4 Oct 2026

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