--- title: "gpt-migrate vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/joshpxyne-gpt-migrate-vs-shubhamsaboo-awesome-llm-apps" tools: ["joshpxyne-gpt-migrate", "shubhamsaboo-awesome-llm-apps"] --- # gpt-migrate vs awesome-llm-apps *GraphCanon updated Jul 11, 2026* ## Verdict Pick gpt-migrate when license: gpt-migrate is MIT, awesome-llm-apps is Apache-2.0; pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, gpt-migrate is MIT. [gpt-migrate](https://gpt-migrate.com) reports 7.0k GitHub stars, 502 forks, and 26 open issues, last pushed Sep 17, 2024. [awesome-llm-apps](https://www.theunwindai.com) has 118k stars, 17k forks, and 6 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [gpt-migrate's repository](https://github.com/joshpxyne/gpt-migrate) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Easily migrate your codebase from one framework or language to another. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | | Stars | 6,982 | 117,774 | | Forks | 502 | 17,498 | | Open issues | 26 | 6 | | Language | Python | Python | | Adopt for | - | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | Data & Retrieval, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 661d | 0d | | Open issues (now) | 26 | 6 | | Full report | [trust report](/tools/joshpxyne-gpt-migrate/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Shared compatibility - **Python**: [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) - Python runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Python runtime ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose gpt-migrate if… - License: gpt-migrate is MIT, awesome-llm-apps is Apache-2.0. - Also covers Evaluation & Observability. ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, gpt-migrate is MIT. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use gpt-migrate - Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between gpt-migrate and awesome-llm-apps? gpt-migrate: Easily migrate your codebase from one framework or language to another.. 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 gpt-migrate over awesome-llm-apps? Choose gpt-migrate over awesome-llm-apps when License: gpt-migrate is MIT, awesome-llm-apps is Apache-2.0; Also covers Evaluation & Observability. ### When should I choose awesome-llm-apps over gpt-migrate? Choose awesome-llm-apps over gpt-migrate when License: awesome-llm-apps is Apache-2.0, gpt-migrate is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid gpt-migrate? Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is gpt-migrate or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (117,774 vs 6,982). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-migrate and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (gpt-migrate: MIT, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to gpt-migrate or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [gpt-migrate alternatives](/tools/joshpxyne-gpt-migrate/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([gpt-migrate markdown twin](/tools/joshpxyne-gpt-migrate/alternatives.md), [awesome-llm-apps markdown twin](/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 [this comparison](/compare/joshpxyne-gpt-migrate-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, gpt-migrate or awesome-llm-apps? gpt-migrate: Dormant. 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 gpt-migrate and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-migrate trust report](/tools/joshpxyne-gpt-migrate/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=joshpxyne-gpt-migrate`](/api/graphcanon/graph?tool=joshpxyne-gpt-migrate) - 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/_