---
title: "guildai vs primehub"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/guildai-guildai-vs-myelintek-primehub"
tools: ["guildai-guildai", "myelintek-primehub"]
---

# guildai vs primehub

*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 primehub if suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.

[guildai](https://guild.ai) reports 904 GitHub stars, 93 forks, and 237 open issues, last pushed Apr 29, 2025. [primehub](https://docs.primehub.io) has 410 stars, 40 forks, and 28 open issues, last pushed Jan 13, 2026. Figures are from public GitHub metadata via [guildai's repository](https://github.com/guildai/guildai) and [primehub's repository](https://github.com/myelintek/primehub).

| | [guildai](/tools/guildai-guildai.md) | [primehub](/tools/myelintek-primehub.md) |
| --- | --- | --- |
| Tagline | Experiment tracking, ML developer tools | open-source MLOps platform |
| Stars | 904 | 410 |
| Forks | 93 | 40 |
| Open issues | 237 | 28 |
| Language | Python | Shell |
| 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. | Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| 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) | [primehub](/tools/myelintek-primehub.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 460d | 201d |
| Open issues (now) | 237 | 28 |
| Full report | [trust report](/tools/guildai-guildai/trust.md) | [trust report](/tools/myelintek-primehub/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: primehub

- **Adopt for:** Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.

## Choose when

### Choose guildai if…

- guildai is primarily Python; primehub is Shell.
- 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 primehub if…

- primehub is primarily Shell; guildai is Python.
- Tags unique to primehub: data-science, distributed-systems, docker, jupyter.
- Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework.

## 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 primehub

- Avoid if your project strictly mandates proprietary MLOps solutions over open-source alternatives.
- Not appropriate for teams that do not operate within Docker environments, as significant customization might be required.

## Common questions

### What is the difference between guildai and primehub?

guildai: Experiment tracking, ML developer tools. primehub: open-source MLOps platform. See the comparison table for live GitHub stats and shared categories.

### When should I choose guildai over primehub?

Choose guildai over primehub when guildai is primarily Python; primehub is Shell; 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 primehub over guildai?

Choose primehub over guildai when primehub is primarily Shell; guildai is Python; Tags unique to primehub: data-science, distributed-systems, docker, jupyter; Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework.

### 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 primehub?

Avoid if your project strictly mandates proprietary MLOps solutions over open-source alternatives. Not appropriate for teams that do not operate within Docker environments, as significant customization might be required.

### Is guildai or primehub more popular on GitHub?

guildai has more GitHub stars (904 vs 410). Stars measure visibility, not whether either tool fits your constraints.

### Are guildai and primehub open source?

Yes - both are open-source projects on GitHub (guildai: Apache-2.0, primehub: Apache-2.0).

### Where can I find alternatives to guildai or primehub?

GraphCanon lists graph-backed alternatives at [guildai alternatives](/tools/guildai-guildai/alternatives) and [primehub alternatives](/tools/myelintek-primehub/alternatives) ([guildai markdown twin](/tools/guildai-guildai/alternatives.md), [primehub markdown twin](/tools/myelintek-primehub/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-myelintek-primehub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, guildai or primehub?

guildai: Dormant. primehub: Slowing. 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 primehub?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [guildai trust report](/tools/guildai-guildai/trust); [primehub trust report](/tools/myelintek-primehub/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/_
