--- title: "pai vs uncloud" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-pai-vs-psviderski-uncloud" tools: ["microsoft-pai", "psviderski-uncloud"] --- # pai vs uncloud *GraphCanon updated Sep 20, 2026* ## Verdict Pick pai if pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer; 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. [pai](https://openpai.readthedocs.io) reports 2.7k GitHub stars, 552 forks, and 282 open issues, last pushed Aug 15, 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 [pai's repository](https://github.com/microsoft/pai) and [uncloud's repository](https://github.com/psviderski/uncloud). | | [pai](/tools/microsoft-pai.md) | [uncloud](/tools/psviderski-uncloud.md) | | --- | --- | --- | | Tagline | Resource scheduling and cluster management for AI | A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. | | Stars | 2,688 | 5,493 | | Forks | 552 | 179 | | Open issues | 282 | 89 | | Language | JavaScript | Go | | Adopt for | pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer. | 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 | MIT | Apache-2.0 | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pai](/tools/microsoft-pai.md) | [uncloud](/tools/psviderski-uncloud.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 19d | 0d | | Open issues (now) | 282 | 89 | | Stars delta | +2 (30d) | +52 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-pai/trust.md) | [trust report](/tools/psviderski-uncloud/trust.md) | ## Decision facts: pai - **Adopt for:** pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer. ## 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 pai if… - pai is primarily JavaScript; uncloud is Go. - License: pai is MIT, uncloud is Apache-2.0. - Tags unique to pai: ai, artificial-intelligence, gpu, machine-learning. - Also covers Model Training. - When you are working with JavaScript-based projects and need to integrate model training or serving operations within your tech stack seamlessly ### Choose uncloud if… - uncloud is primarily Go; pai is JavaScript. - License: uncloud is Apache-2.0, pai is MIT. - Tags unique to uncloud: containers, deployment, devops, docker. - 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 pai - For organizations that prefer a more comprehensive suite tailored for specific languages other than JavaScript, as the tool's focus is clearly on this language environment - When looking for solutions strictly hosted in cloud environments, as pai also supports deployment in on-premise settings which could complicate decisions if cloud dependency is critical ## 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 pai and uncloud? pai: Resource scheduling and cluster management for AI. 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 pai over uncloud? Choose pai over uncloud when pai is primarily JavaScript; uncloud is Go; License: pai is MIT, uncloud is Apache-2.0; Tags unique to pai: ai, artificial-intelligence, gpu, machine-learning; Also covers Model Training; When you are working with JavaScript-based projects and need to integrate model training or serving operations within your tech stack seamlessly. ### When should I choose uncloud over pai? Choose uncloud over pai when uncloud is primarily Go; pai is JavaScript; License: uncloud is Apache-2.0, pai is MIT; Tags unique to uncloud: containers, deployment, devops, docker; 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 pai? For organizations that prefer a more comprehensive suite tailored for specific languages other than JavaScript, as the tool's focus is clearly on this language environment When looking for solutions strictly hosted in cloud environments, as pai also supports deployment in on-premise settings which could complicate decisions if cloud dependency is critical ### 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 pai or uncloud more popular on GitHub? uncloud has more GitHub stars (5,493 vs 2,688). Stars measure visibility, not whether either tool fits your constraints. ### Are pai and uncloud open source? Yes - both are open-source projects on GitHub (pai: MIT, uncloud: Apache-2.0). ### Where can I find alternatives to pai or uncloud? GraphCanon lists graph-backed alternatives at [pai alternatives](/tools/microsoft-pai/alternatives) and [uncloud alternatives](/tools/psviderski-uncloud/alternatives) ([pai markdown twin](/tools/microsoft-pai/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/microsoft-pai-vs-psviderski-uncloud.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pai or uncloud? pai: 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 pai and uncloud? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pai trust report](/tools/microsoft-pai/trust); [uncloud trust report](/tools/psviderski-uncloud/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-pai`](/api/graphcanon/graph?tool=microsoft-pai) - 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/_