--- title: "guildai vs modelfox" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/guildai-guildai-vs-modelfoxdotdev-modelfox" tools: ["guildai-guildai", "modelfoxdotdev-modelfox"] --- # guildai vs modelfox *GraphCanon updated Aug 3, 2026* ## Verdict Pick guildai if guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization; pick modelfox if modelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. [guildai](https://guild.ai) reports 904 GitHub stars, 93 forks, and 237 open issues, last pushed Apr 29, 2025. [modelfox](https://github.com/modelfoxdotdev/modelfox) has 1.5k stars, 64 forks, and 39 open issues, last pushed Aug 2, 2024. Figures are from public GitHub metadata via [guildai's repository](https://github.com/guildai/guildai) and [modelfox's repository](https://github.com/modelfoxdotdev/modelfox). | | [guildai](/tools/guildai-guildai.md) | [modelfox](/tools/modelfoxdotdev-modelfox.md) | | --- | --- | --- | | Tagline | Experiment tracking, ML developer tools | ModelFox simplifies machine learning model training and deployment. | | Stars | 904 | 1,467 | | Forks | 93 | 64 | | Open issues | 237 | 39 | | Language | Python | Rust | | Adopt for | Guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization. | ModelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT licensed with restrictions on the 'crates/app' directory for production use, requiring a paid license. | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [guildai](/tools/guildai-guildai.md) | [modelfox](/tools/modelfoxdotdev-modelfox.md) | | --- | --- | --- | | Days since push | 460d | 731d | | Open issues (now) | 237 | 39 | | Full report | [trust report](/tools/guildai-guildai/trust.md) | [trust report](/tools/modelfoxdotdev-modelfox/trust.md) | ## Decision facts: guildai - **Adopt for:** Guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization. ## Decision facts: modelfox - **Pricing:** freemium - Free to test, requires paid licenses for production deployment of certain components. - **Adopt for:** ModelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. - **License detail:** MIT licensed with restrictions on the 'crates/app' directory for production use, requiring a paid license. ## Choose when ### Choose guildai if… - guildai is primarily Python; modelfox is Rust. - License: guildai is Apache-2.0, modelfox is Other. - Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search. - You require automation for running multiple experiment configurations to compare different models effectively. ### Choose modelfox if… - modelfox is primarily Rust; guildai is Python. - License: modelfox is Other, guildai is Apache-2.0. - Pricing: Free to test, requires paid licenses for production deployment of certain components.. - Tags unique to modelfox: automl, elixir-lang, golang, javascript. - If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks ## When NOT to use guildai - If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities. - Your model development does not require intricate optimization methods or trial automation provided by this toolkit. - The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data. ## When NOT to use modelfox - If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use - For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem ## Common questions ### What is the difference between guildai and modelfox? guildai: Experiment tracking, ML developer tools. modelfox: ModelFox simplifies machine learning model training and deployment.. See the comparison table for live GitHub stats and shared categories. ### When should I choose guildai over modelfox? Choose guildai over modelfox when guildai is primarily Python; modelfox is Rust; License: guildai is Apache-2.0, modelfox is Other; Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search; You require automation for running multiple experiment configurations to compare different models effectively. ### When should I choose modelfox over guildai? Choose modelfox over guildai when modelfox is primarily Rust; guildai is Python; License: modelfox is Other, guildai is Apache-2.0; Pricing: Free to test, requires paid licenses for production deployment of certain components.; Tags unique to modelfox: automl, elixir-lang, golang, javascript; If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks. ### When should I avoid guildai? If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities. Your model development does not require intricate optimization methods or trial automation provided by this toolkit. The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data. ### When should I avoid modelfox? If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem ### Is guildai or modelfox more popular on GitHub? modelfox has more GitHub stars (1,467 vs 904). Stars measure visibility, not whether either tool fits your constraints. ### Are guildai and modelfox open source? Yes - both are open-source projects on GitHub (guildai: Apache-2.0, modelfox: Other). ### Where can I find alternatives to guildai or modelfox? GraphCanon lists graph-backed alternatives at [guildai alternatives](/tools/guildai-guildai/alternatives) and [modelfox alternatives](/tools/modelfoxdotdev-modelfox/alternatives) ([guildai markdown twin](/tools/guildai-guildai/alternatives.md), [modelfox markdown twin](/tools/modelfoxdotdev-modelfox/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/guildai-guildai-vs-modelfoxdotdev-modelfox.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, guildai or modelfox? guildai: Dormant. modelfox: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for guildai and modelfox? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [guildai trust report](/tools/guildai-guildai/trust); [modelfox trust report](/tools/modelfoxdotdev-modelfox/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=guildai-guildai`](/api/graphcanon/graph?tool=guildai-guildai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_