---
title: "harbor vs uncloud"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/av-harbor-vs-psviderski-uncloud"
tools: ["av-harbor", "psviderski-uncloud"]
---

# harbor vs uncloud

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick harbor if harbor is a rapid deployment tool for AI stacks using Docker and docker-compose; pick uncloud if uncloud is a Go-based deployment tool that aims to bridge the functionality gap between Docker and Kubernetes with an emphasis on simplicity.

[harbor](https://discord.gg/8nDRphrhSF) reports 3.2k GitHub stars, 227 forks, and 67 open issues, last pushed Sep 19, 2026. [uncloud](https://uncloud.run) has 5.5k stars, 179 forks, and 89 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [harbor's repository](https://github.com/av/harbor) and [uncloud's repository](https://github.com/psviderski/uncloud).

| | [harbor](/tools/av-harbor.md) | [uncloud](/tools/psviderski-uncloud.md) |
| --- | --- | --- |
| Tagline | Complete pre-wired LLM stack via one command | A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. |
| Stars | 3,217 | 5,493 |
| Forks | 227 | 179 |
| Open issues | 67 | 89 |
| Language | Python | Go |
| Adopt for | Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose. | Uncloud is a Go-based deployment tool that aims to bridge the functionality gap between Docker and Kubernetes with an emphasis on simplicity. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [harbor](/tools/av-harbor.md) | [uncloud](/tools/psviderski-uncloud.md) |
| --- | --- | --- |
| Open issues (now) | 67 | 89 |
| Stars delta | +55 (30d) | +52 (30d) |
| Full report | [trust report](/tools/av-harbor/trust.md) | [trust report](/tools/psviderski-uncloud/trust.md) |

## Decision facts: harbor

- **Adopt for:** Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose.

## Decision facts: uncloud

- **Adopt for:** Uncloud is a Go-based deployment tool that aims to bridge the functionality gap between Docker and Kubernetes with an emphasis on simplicity.

## Choose when

### Choose harbor if…

- harbor is primarily Python; uncloud is Go.
- Tags unique to harbor: ai, automation, bash, cli.
- Also covers LLM Frameworks, Model Training.
- - When you need to deploy an AI stack quickly with minimal configuration

### Choose uncloud if…

- uncloud is primarily Go; harbor is Python.
- Tags unique to uncloud: containers, deployment, devops, golang.
- uncloud ships Docker support for self-hosted deployment.
- When you need a lightweight solution for deploying containerized apps across multiple Docker hosts without the complexity of full Kubernetes.

## When NOT to use harbor

- - If detailed customization at a service level is required beyond what the default setup offers
- - In cases where the project does not align well with the pre-wired services and configurations harbor provides by default

## When NOT to use uncloud

- For environments that demand advanced load balancing and auto-scaling features typically found in full-fledged orchestrators like Kubernetes.
- In large-scale production setups where the maturity level of a more established tool is preferred to minimize risk.

## Common questions

### What is the difference between harbor and uncloud?

harbor: Complete pre-wired LLM stack via one command. uncloud: A lightweight tool for deploying and managing containerised applications across a network of Docker hosts.. See the comparison table for live GitHub stats and shared categories.

### When should I choose harbor over uncloud?

Choose harbor over uncloud when harbor is primarily Python; uncloud is Go; Tags unique to harbor: ai, automation, bash, cli; Also covers LLM Frameworks, Model Training; - When you need to deploy an AI stack quickly with minimal configuration.

### When should I choose uncloud over harbor?

Choose uncloud over harbor when uncloud is primarily Go; harbor is Python; Tags unique to uncloud: containers, deployment, devops, golang; uncloud ships Docker support for self-hosted deployment; When you need a lightweight solution for deploying containerized apps across multiple Docker hosts without the complexity of full Kubernetes.

### When should I avoid harbor?

- If detailed customization at a service level is required beyond what the default setup offers - In cases where the project does not align well with the pre-wired services and configurations harbor provides by default

### When should I avoid uncloud?

For environments that demand advanced load balancing and auto-scaling features typically found in full-fledged orchestrators like Kubernetes. In large-scale production setups where the maturity level of a more established tool is preferred to minimize risk.

### Is harbor or uncloud more popular on GitHub?

uncloud has more GitHub stars (5,493 vs 3,217). Stars measure visibility, not whether either tool fits your constraints.

### Are harbor and uncloud open source?

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

### Where can I find alternatives to harbor or uncloud?

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

### Which is better maintained, harbor or uncloud?

harbor: Very active. uncloud: Very active. 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 harbor and uncloud?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [harbor trust report](/tools/av-harbor/trust); [uncloud trust report](/tools/psviderski-uncloud/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=av-harbor`](/api/graphcanon/graph?tool=av-harbor)
- 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/_
