--- title: "AI-Infra-from-Zero-to-Hero vs onepanel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huaizhengzhang-ai-infra-from-zero-to-hero-vs-onepanelio-onepanel" tools: ["huaizhengzhang-ai-infra-from-zero-to-hero", "onepanelio-onepanel"] --- # AI-Infra-from-Zero-to-Hero vs onepanel *GraphCanon updated Aug 17, 2026* ## Verdict Pick AI-Infra-from-Zero-to-Hero if a curated resource list for AI system design focusing on large language models and various system aspects; pick onepanel if onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. [AI-Infra-from-Zero-to-Hero](https://huaizheng.xyz/) reports 4.3k GitHub stars, 409 forks, and 14 open issues, last pushed Jul 25, 2025. [onepanel](https://docs.onepanel.ai/) has 730 stars, 73 forks, and 102 open issues, last pushed Feb 25, 2023. Figures are from public GitHub metadata via [AI-Infra-from-Zero-to-Hero's repository](https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero) and [onepanel's repository](https://github.com/onepanelio/onepanel). | | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | [onepanel](/tools/onepanelio-onepanel.md) | | --- | --- | --- | | Tagline | Awesome System for Machine Learning and LLM Infra | The open source, end-to-end computer vision platform. | | Stars | 4,285 | 730 | | Forks | 409 | 73 | | Open issues | 14 | 102 | | Language | - | Go | | Adopt for | A curated resource list for AI system design focusing on large language models and various system aspects. | Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks, Model Training | Computer Vision, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | [onepanel](/tools/onepanelio-onepanel.md) | | --- | --- | --- | | Days since push | 388d | 1252d | | Open issues (now) | 14 | 102 | | Stars delta | +87 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust.md) | [trust report](/tools/onepanelio-onepanel/trust.md) | ## Decision facts: AI-Infra-from-Zero-to-Hero - **Adopt for:** A curated resource list for AI system design focusing on large language models and various system aspects. ## Decision facts: onepanel - **Adopt for:** Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license. ## Choose when ### Choose AI-Infra-from-Zero-to-Hero if… - License: AI-Infra-from-Zero-to-Hero is MIT, onepanel is Apache-2.0. - Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys. - Also covers Developer Tools, LLM Frameworks. - When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details. ### Choose onepanel if… - License: onepanel is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT. - Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning. - Also covers Computer Vision. - onepanel ships Docker support for self-hosted deployment. - When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ## When NOT to use AI-Infra-from-Zero-to-Hero - If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions. - Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth. ## When NOT to use onepanel - Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. - Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ## Common questions ### What is the difference between AI-Infra-from-Zero-to-Hero and onepanel? AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. onepanel: The open source, end-to-end computer vision platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-Infra-from-Zero-to-Hero over onepanel? Choose AI-Infra-from-Zero-to-Hero over onepanel when License: AI-Infra-from-Zero-to-Hero is MIT, onepanel is Apache-2.0; Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys; Also covers Developer Tools, LLM Frameworks; When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details. ### When should I choose onepanel over AI-Infra-from-Zero-to-Hero? Choose onepanel over AI-Infra-from-Zero-to-Hero when License: onepanel is Apache-2.0, AI-Infra-from-Zero-to-Hero is MIT; Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning; Also covers Computer Vision; onepanel ships Docker support for self-hosted deployment; When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows. ### When should I avoid AI-Infra-from-Zero-to-Hero? If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions. Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth. ### When should I avoid onepanel? Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages. ### Is AI-Infra-from-Zero-to-Hero or onepanel more popular on GitHub? AI-Infra-from-Zero-to-Hero has more GitHub stars (4,285 vs 730). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-Infra-from-Zero-to-Hero and onepanel open source? Yes - both are open-source projects on GitHub (AI-Infra-from-Zero-to-Hero: MIT, onepanel: Apache-2.0). ### Where can I find alternatives to AI-Infra-from-Zero-to-Hero or onepanel? GraphCanon lists graph-backed alternatives at [AI-Infra-from-Zero-to-Hero alternatives](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives) and [onepanel alternatives](/tools/onepanelio-onepanel/alternatives) ([AI-Infra-from-Zero-to-Hero markdown twin](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives.md), [onepanel markdown twin](/tools/onepanelio-onepanel/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/huaizhengzhang-ai-infra-from-zero-to-hero-vs-onepanelio-onepanel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-Infra-from-Zero-to-Hero or onepanel? AI-Infra-from-Zero-to-Hero: Dormant. onepanel: 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 AI-Infra-from-Zero-to-Hero and onepanel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-Infra-from-Zero-to-Hero trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust); [onepanel trust report](/tools/onepanelio-onepanel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero`](/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero) - 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/_