---
title: "happy-llm vs awesome-llm-apps"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datawhalechina-happy-llm-vs-shubhamsaboo-awesome-llm-apps"
tools: ["datawhalechina-happy-llm", "shubhamsaboo-awesome-llm-apps"]
---

# happy-llm vs awesome-llm-apps

Neutral, constraint-first comparison with live GitHub stats.

| | [happy-llm](/tools/datawhalechina-happy-llm.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Tagline | 📚 从零开始构建大模型 | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 31,895 | 116,766 |
| Forks | 3,024 | 17,373 |
| Open issues | 62 | 7 |
| Language | Jupyter Notebook | Python |
| License | Other | Apache-2.0 |
| Categories | LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |

## Trust and health

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

| | [happy-llm](/tools/datawhalechina-happy-llm.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 62d | 0d |
| Archived on GitHub | No | No |
| Stars delta | - | - |
| Open issues delta | - | - |
| Fork status | Not a fork | Not a fork |
| Owner type | Organization | User |
| Security scan | Not scanned | Not scanned |
| Full report | [trust report](/tools/datawhalechina-happy-llm/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) |

## Choose when

### Choose happy-llm if…

- Also covers Developer Tools.

### Choose awesome-llm-apps if…

- More widely adopted - 117k stars vs 32k.
- More recently updated (last pushed Jul 8, 2026).
- Leaner open-issue backlog (7).
- Also covers AI Agents.

## When NOT to use happy-llm

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## When NOT to use awesome-llm-apps

- 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.

## Common questions

### What is the difference between happy-llm and awesome-llm-apps?

happy-llm: 📚 从零开始构建大模型. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories.

### When should I choose happy-llm over awesome-llm-apps?

Choose happy-llm over awesome-llm-apps when Also covers Developer Tools.

### When should I choose awesome-llm-apps over happy-llm?

Choose awesome-llm-apps over happy-llm when More widely adopted - 117k stars vs 32k; More recently updated (last pushed Jul 8, 2026); Leaner open-issue backlog (7); Also covers AI Agents.

### When should I avoid happy-llm?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### When should I avoid awesome-llm-apps?

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.

### Is happy-llm or awesome-llm-apps more popular on GitHub?

awesome-llm-apps has more GitHub stars (116,766 vs 31,895). Stars measure visibility, not whether either tool fits your constraints.

### Are happy-llm and awesome-llm-apps open source?

Yes - both are open-source projects on GitHub (happy-llm: Other, awesome-llm-apps: Apache-2.0).

### Where can I find alternatives to happy-llm or awesome-llm-apps?

GraphCanon lists graph-backed alternatives at /tools/datawhalechina-happy-llm/alternatives and /tools/shubhamsaboo-awesome-llm-apps/alternatives (/tools/datawhalechina-happy-llm/alternatives.md, /tools/shubhamsaboo-awesome-llm-apps/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 /compare/datawhalechina-happy-llm-vs-shubhamsaboo-awesome-llm-apps.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, happy-llm or awesome-llm-apps?

happy-llm: Steady. awesome-llm-apps: 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 happy-llm and awesome-llm-apps?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: happy-llm: /tools/datawhalechina-happy-llm/trust; awesome-llm-apps: /tools/shubhamsaboo-awesome-llm-apps/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=datawhalechina-happy-llm`](/api/graphcanon/graph?tool=datawhalechina-happy-llm)
- 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/_