--- title: "online-ml-university vs hello-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/azminewasi-online-ml-university-vs-datawhalechina-hello-agents" tools: ["azminewasi-online-ml-university", "datawhalechina-hello-agents"] --- # online-ml-university vs hello-agents *GraphCanon updated Jul 11, 2026* ## Verdict Pick online-ml-university when license: online-ml-university is LGPL-2.1, hello-agents is Other; pick hello-agents when license: hello-agents is Other, online-ml-university is LGPL-2.1. [online-ml-university](https://github.com/azminewasi/online-ml-university) reports 222 GitHub stars, 51 forks, and 0 open issues, last pushed Apr 15, 2024. [hello-agents](https://hello-agents.datawhale.cc) has 65k stars, 8.1k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [online-ml-university's repository](https://github.com/azminewasi/online-ml-university) and [hello-agents's repository](https://github.com/datawhalechina/hello-agents). | | [online-ml-university](/tools/azminewasi-online-ml-university.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Tagline | A curated list of FREE courses available online from top universities of the world on CS-DS-ML! | Course on building intelligent agents from scratch | | Stars | 222 | 65,432 | | Forks | 51 | 8,109 | | Open issues | 0 | 144 | | Language | - | Python | | Adopt for | - | hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. | | Persona | - | - | | Runtime | - | - | | License | LGPL-2.1 | hello-agents is covered under an unconventional license which may require further review before usage. | | Categories | AI Agents, LLM Frameworks, Speech & Audio | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [online-ml-university](/tools/azminewasi-online-ml-university.md) | [hello-agents](/tools/datawhalechina-hello-agents.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 816d | 0d | | Open issues (now) | 0 | 144 | | Owner type | User | Organization | | Full report | [trust report](/tools/azminewasi-online-ml-university/trust.md) | [trust report](/tools/datawhalechina-hello-agents/trust.md) | ## Decision facts: hello-agents - **Requirements:** Min 4 GB RAM; Python knowledge assumed - **Adopt for:** hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods. - **License detail:** hello-agents is covered under an unconventional license which may require further review before usage. ## Choose when ### Choose online-ml-university if… - License: online-ml-university is LGPL-2.1, hello-agents is Other. - Tags unique to online-ml-university: data-science, computer-science, deep-learning, cmu. - Also covers Speech & Audio. ### Choose hello-agents if… - License: hello-agents is Other, online-ml-university is LGPL-2.1. - Requirements: Min 4 GB RAM; Python knowledge assumed. - Tags unique to hello-agents: llm, rag, tutorial, agent. - You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up. ## When NOT to use online-ml-university - Last GitHub push was 817 days ago (dormant maintenance, Apr 15, 2024). Validate activity before betting a new project on online-ml-university. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use hello-agents - Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. - Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG. ## Common questions ### What is the difference between online-ml-university and hello-agents? online-ml-university: A curated list of FREE courses available online from top universities of the world on CS-DS-ML!. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories. ### When should I choose online-ml-university over hello-agents? Choose online-ml-university over hello-agents when License: online-ml-university is LGPL-2.1, hello-agents is Other; Tags unique to online-ml-university: data-science, computer-science, deep-learning, cmu; Also covers Speech & Audio. ### When should I choose hello-agents over online-ml-university? Choose hello-agents over online-ml-university when License: hello-agents is Other, online-ml-university is LGPL-2.1; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: llm, rag, tutorial, agent; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up. ### When should I avoid online-ml-university? Last GitHub push was 817 days ago (dormant maintenance, Apr 15, 2024). Validate activity before betting a new project on online-ml-university. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid hello-agents? Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG. ### Is online-ml-university or hello-agents more popular on GitHub? hello-agents has more GitHub stars (65,432 vs 222). Stars measure visibility, not whether either tool fits your constraints. ### Are online-ml-university and hello-agents open source? Yes - both are open-source projects on GitHub (online-ml-university: LGPL-2.1, hello-agents: Other). ### Where can I find alternatives to online-ml-university or hello-agents? GraphCanon lists graph-backed alternatives at [online-ml-university alternatives](/tools/azminewasi-online-ml-university/alternatives) and [hello-agents alternatives](/tools/datawhalechina-hello-agents/alternatives) ([online-ml-university markdown twin](/tools/azminewasi-online-ml-university/alternatives.md), [hello-agents markdown twin](/tools/datawhalechina-hello-agents/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/azminewasi-online-ml-university-vs-datawhalechina-hello-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, online-ml-university or hello-agents? online-ml-university: Dormant. hello-agents: 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 online-ml-university and hello-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [online-ml-university trust report](/tools/azminewasi-online-ml-university/trust); [hello-agents trust report](/tools/datawhalechina-hello-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=azminewasi-online-ml-university`](/api/graphcanon/graph?tool=azminewasi-online-ml-university) - 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/_