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Guild AI

Free#17 of 38 in ML Experiment Tracking Software

Guild AI: A flexible run-management toolkit for Python research teams that need local or distributed workflows. Ranked #17 of 38 in ML Experiment Tracking Software by our editors (7.2/10); pricing: Open source; best for researchers needing local and distributed run management.

7.2/10Editor score

Visit Guild AI

Guild AI7.2 Visit Guild AI

At a glance

Editor score
7.2 / 10
Pricing
Open source
Best for
Researchers needing local and distributed run management
Paid from
Free
Run comparison
Yes
Facts checked
21 Sep 2026

Where it wins
- Tracks code, parameters, metrics, outputs, files, and run metadata
- Supports grid, random, and Bayesian hyperparameter optimization
- Provides comparison, archiving, remote operations, and cloud-accelerator support
Where it doesn't
- No model registry is included
- Primarily command-line oriented, with a browser-based run viewer
- Designed for Python-based machine-learning projects

Our verdict on Guild AI

Guild AI is an open-source toolkit for running, tracking, comparing, and optimizing machine-learning experiments. It is aimed at developers and research teams working on Python-based projects, with a command-line workflow, a Python interface through the guild.ipy module, and a browser-based run viewer. Each run can capture metadata, source code, flags, metrics, output, and generated files, giving teams a structured record of experiment results across local and distributed work.

The tracking and optimization features cover a broad research workflow. Guild Compare provides built-in run comparison, while grid search, random search, and Bayesian hyperparameter optimization support structured experimentation. Persistent run directories capture artifacts and output files, and dataset and file dependencies can be maintained between runs. TensorBoard integration adds another way to view and compare runs. These capabilities make Guild AI a good fit for teams that need more than basic metric logging and want experiment execution, comparison, and optimization in the same toolkit.

Guild AI also supports run archiving, export, backup, and restore, along with remote operation execution and cloud-accelerator support. Its deployment option is self-hosted, and the listed platform coverage includes web, Windows, macOS, Linux, and an API, with S3 and TensorBoard integrations. The main boundary is its lack of a model registry, so teams seeking a workflow centered on registering and managing production models should choose a different tool. Guild AI suits research groups that value control over run data and execution; teams wanting a model-lifecycle platform should look elsewhere.

Your product? Our editors can test Guild AI in depth and publish a review, labelled as paid · from $149/mo →

Guild AI pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on guildai.org

Guild AI fact sheet

Free plan	Not verified
Paid from	Free
Run comparison	Yes
Artifact tracking	Yes
Dataset versioning	Yes
Model registry	No
Deployment options	Self_hosted
API and SDK access	Yes
Deployment	Self-hosted
Platforms	Web, Windows, macOS, Linux
Support	Community, Docs
Built for	Solo, Small business, Mid-market (editorial estimate)
Integrations	2 integrations: TensorBoard, S3
Pricing	Open source
Website	guildai.org
Facts checked	21 Sep 2026

Guild AI integrations

Guild AI lists 2 integrations on its own site.

TensorBoard
S3

Alternatives to Guild AI

See all Guild AI alternatives →

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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Guild AI for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

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Featured on iTechGuides

Guild AI is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update