--- title: "deepwiki-open vs awesome-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asyncfuncai-deepwiki-open-vs-formulahendry-awesome-gpt" tools: ["asyncfuncai-deepwiki-open", "formulahendry-awesome-gpt"] --- # deepwiki-open vs awesome-gpt *GraphCanon updated Sep 20, 2026* ## Verdict Pick deepwiki-open if deepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket; pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. [deepwiki-open](https://grok-wiki.com/) reports 18k GitHub stars, 2.0k forks, and 269 open issues, last pushed Sep 3, 2026. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 77 forks, and 29 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [deepwiki-open's repository](https://github.com/AsyncFuncAI/deepwiki-open) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt). | | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Tagline | AI-Powered Wiki Generator for Code Repositories | Curated list of GPT and related resources | | Stars | 18,015 | 1,044 | | Forks | 2,004 | 77 | | Open issues | 269 | 29 | | Language | Python | - | | Adopt for | DeepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket. | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | | Persona | - | - | | Runtime | - | - | | License | Releases under MIT License, allowing free use for both personal and commercial purposes as long as copyright and license notices are retained. | - | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 16d | 830d | | Open issues (now) | 269 | 29 | | Stars delta | +377 (30d) | +1 (30d) | | Open issues delta | +3 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/asyncfuncai-deepwiki-open/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | ## Decision facts: deepwiki-open - **Pricing:** freemium - The basic version is available at no cost, with potential premium services not detailed in the repository. - **Requirements:** Python environment must be set up; specific versions or dependencies are not provided in the README. - **Adopt for:** DeepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket. - **License detail:** Releases under MIT License, allowing free use for both personal and commercial purposes as long as copyright and license notices are retained. ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## Choose when ### Choose deepwiki-open if… - Pricing: The basic version is available at no cost, with potential premium services not detailed in the repository.. - Requirements: Python environment must be set up; specific versions or dependencies are not provided in the README.. - Tags unique to deepwiki-open: ai, codex, gemini, github. - deepwiki-open ships Docker support for self-hosted deployment. - When you have a large codebase that requires automated yet comprehensive documentation generation without manual intervention. ### Choose awesome-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: chatgpt, gpt, llm. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ## When NOT to use deepwiki-open - In scenarios where precise control over the wording of generated documentation is essential as DeepWiki-open relies on AI which may not always match human-specific nuance. - If your team or organization avoids using external services for documenting projects due to data privacy concerns, since DeepWiki-open integrates with multiple third-party platforms. ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## Common questions ### What is the difference between deepwiki-open and awesome-gpt? deepwiki-open: AI-Powered Wiki Generator for Code Repositories. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepwiki-open over awesome-gpt? Choose deepwiki-open over awesome-gpt when Pricing: The basic version is available at no cost, with potential premium services not detailed in the repository.; Requirements: Python environment must be set up; specific versions or dependencies are not provided in the README.; Tags unique to deepwiki-open: ai, codex, gemini, github; deepwiki-open ships Docker support for self-hosted deployment; When you have a large codebase that requires automated yet comprehensive documentation generation without manual intervention. ### When should I choose awesome-gpt over deepwiki-open? Choose awesome-gpt over deepwiki-open when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I avoid deepwiki-open? In scenarios where precise control over the wording of generated documentation is essential as DeepWiki-open relies on AI which may not always match human-specific nuance. If your team or organization avoids using external services for documenting projects due to data privacy concerns, since DeepWiki-open integrates with multiple third-party platforms. ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### Is deepwiki-open or awesome-gpt more popular on GitHub? deepwiki-open has more GitHub stars (18,015 vs 1,044). Stars measure visibility, not whether either tool fits your constraints. ### Are deepwiki-open and awesome-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to deepwiki-open or awesome-gpt? GraphCanon lists graph-backed alternatives at [deepwiki-open alternatives](/tools/asyncfuncai-deepwiki-open/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([deepwiki-open markdown twin](/tools/asyncfuncai-deepwiki-open/alternatives.md), [awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/asyncfuncai-deepwiki-open-vs-formulahendry-awesome-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepwiki-open or awesome-gpt? deepwiki-open: Active. awesome-gpt: 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 deepwiki-open and awesome-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepwiki-open trust report](/tools/asyncfuncai-deepwiki-open/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=asyncfuncai-deepwiki-open`](/api/graphcanon/graph?tool=asyncfuncai-deepwiki-open) - 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/_