--- title: "awesome-ai-apps vs ChatFiles" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arindam200-awesome-ai-apps-vs-guangzhengli-chatfiles" tools: ["arindam200-awesome-ai-apps", "guangzhengli-chatfiles"] --- # awesome-ai-apps vs ChatFiles *GraphCanon updated Aug 26, 2026* ## Verdict Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; pick ChatFiles if chatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. [awesome-ai-apps](https://dub.sh/nebius) reports 13k GitHub stars, 1.8k forks, and 65 open issues, last pushed Aug 19, 2026. [ChatFiles](https://github.com/guangzhengli/ChatFiles) has 3.3k stars, 464 forks, and 18 open issues, last pushed Dec 17, 2024. Figures are from public GitHub metadata via [awesome-ai-apps's repository](https://github.com/Arindam200/awesome-ai-apps) and [ChatFiles's repository](https://github.com/guangzhengli/ChatFiles). | | [awesome-ai-apps](/tools/arindam200-awesome-ai-apps.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Tagline | A curated list of AI applications showcasing RAG, agents, and workflows. | Document Chatbot powered by GPT and Embedding | | Stars | 13,494 | 3,341 | | Forks | 1,760 | 464 | | Open issues | 65 | 18 | | Language | Python | TypeScript | | Adopt for | awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python. | ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. | | Persona | - | - | | Runtime | - | - | | License | MIT License ensures easy integration into both open source and proprietary projects without restrictions. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-apps](/tools/arindam200-awesome-ai-apps.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 6d | 605d | | Open issues (now) | 65 | 18 | | Stars delta | +226 (30d) | -3 (30d) | | Open issues delta | -24 (30d) | 0 (30d) | | Full report | [trust report](/tools/arindam200-awesome-ai-apps/trust.md) | [trust report](/tools/guangzhengli-chatfiles/trust.md) | ## Decision facts: awesome-ai-apps - **Pricing:** freemium - As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts. - **Requirements:** Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed. - **Adopt for:** awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python. - **License detail:** MIT License ensures easy integration into both open source and proprietary projects without restrictions. ## Decision facts: ChatFiles - **Pricing:** freemium - Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase. - **Requirements:** Local setup requires setting environment variables as outlined in the documentation. - **Adopt for:** ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. ## Choose when ### Choose awesome-ai-apps if… - awesome-ai-apps is primarily Python; ChatFiles is TypeScript. - Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.. - Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.. - Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm. - Also covers LLM Frameworks. - Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering. ### Choose ChatFiles if… - ChatFiles is primarily TypeScript; awesome-ai-apps is Python. - Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase.. - Requirements: Local setup requires setting environment variables as outlined in the documentation.. - Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase. - Also covers Vector Databases. - ChatFiles ships Docker support for self-hosted deployment. - You need to integrate file-based conversations into your web apps using TypeScript. ## When NOT to use awesome-ai-apps - Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. - Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents. ## When NOT to use ChatFiles - If you aim to use languages other than TypeScript for your document chatbot functionality. - Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation. - The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool. ## Common questions ### What is the difference between awesome-ai-apps and ChatFiles? awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. ChatFiles: Document Chatbot powered by GPT and Embedding. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-apps over ChatFiles? Choose awesome-ai-apps over ChatFiles when awesome-ai-apps is primarily Python; ChatFiles is TypeScript; Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Also covers LLM Frameworks; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering. ### When should I choose ChatFiles over awesome-ai-apps? Choose ChatFiles over awesome-ai-apps when ChatFiles is primarily TypeScript; awesome-ai-apps is Python; Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase.; Requirements: Local setup requires setting environment variables as outlined in the documentation.; Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase; Also covers Vector Databases; ChatFiles ships Docker support for self-hosted deployment; You need to integrate file-based conversations into your web apps using TypeScript. ### When should I avoid awesome-ai-apps? Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents. ### When should I avoid ChatFiles? If you aim to use languages other than TypeScript for your document chatbot functionality. Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation. The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool. ### Is awesome-ai-apps or ChatFiles more popular on GitHub? awesome-ai-apps has more GitHub stars (13,494 vs 3,341). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-apps and ChatFiles open source? Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, ChatFiles: MIT). ### Where can I find alternatives to awesome-ai-apps or ChatFiles? GraphCanon lists graph-backed alternatives at [awesome-ai-apps alternatives](/tools/arindam200-awesome-ai-apps/alternatives) and [ChatFiles alternatives](/tools/guangzhengli-chatfiles/alternatives) ([awesome-ai-apps markdown twin](/tools/arindam200-awesome-ai-apps/alternatives.md), [ChatFiles markdown twin](/tools/guangzhengli-chatfiles/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/arindam200-awesome-ai-apps-vs-guangzhengli-chatfiles.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-ai-apps or ChatFiles? awesome-ai-apps: Very active. ChatFiles: 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 awesome-ai-apps and ChatFiles? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-apps trust report](/tools/arindam200-awesome-ai-apps/trust); [ChatFiles trust report](/tools/guangzhengli-chatfiles/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arindam200-awesome-ai-apps`](/api/graphcanon/graph?tool=arindam200-awesome-ai-apps) - 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/_