--- title: "deepwiki-open vs code2prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asyncfuncai-deepwiki-open-vs-mufeedvh-code2prompt" tools: ["asyncfuncai-deepwiki-open", "mufeedvh-code2prompt"] --- # deepwiki-open vs code2prompt *GraphCanon updated Sep 20, 2026* ## Verdict Pick deepwiki-open when deepwiki-open is primarily Python; code2prompt is Rust; pick code2prompt when code2prompt is primarily Rust; deepwiki-open is Python. [deepwiki-open](https://grok-wiki.com/) reports 18k GitHub stars, 2.0k forks, and 269 open issues, last pushed Sep 3, 2026. [code2prompt](https://code2prompt.dev) has 7.7k stars, 446 forks, and 16 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [deepwiki-open's repository](https://github.com/AsyncFuncAI/deepwiki-open) and [code2prompt's repository](https://github.com/mufeedvh/code2prompt). | | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Tagline | AI-Powered Wiki Generator for Code Repositories | CLI tool to convert codebase into LLM prompt | | Stars | 18,015 | 7,678 | | Forks | 2,004 | 446 | | Open issues | 269 | 16 | | Language | Python | Rust | | Adopt for | DeepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket. | - | | 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. | MIT | | 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) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 1d | | Open issues (now) | 269 | 16 | | Stars delta | +377 (30d) | +169 (30d) | | Open issues delta | +3 (30d) | -4 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/asyncfuncai-deepwiki-open/trust.md) | [trust report](/tools/mufeedvh-code2prompt/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: code2prompt - **Hosting:** self hosted - code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency. - **Pricing:** freemium - The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates. ## Choose when ### Choose deepwiki-open if… - deepwiki-open is primarily Python; code2prompt is Rust. - 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: codex, gemini, github, grok-cli. - 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 code2prompt if… - code2prompt is primarily Rust; deepwiki-open is Python. - code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency. - Pricing: The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates.. - Tags unique to code2prompt: chatgpt, claude, cli, command-line-tool. - When you aim to structure and deliver your entire codebase into an LLM for comprehensive documentation or refactoring guidance. ## 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 code2prompt - In situations requiring real-time interaction or analysis of codebases due to the static nature of its prompt generation process, as this might not cater to agile or evolving project requirements. - If you are in need of a tool beyond simple CLI operation and desire an integrated development environment (IDE) plugin for more interactive and continuous assistance. ## Common questions ### What is the difference between deepwiki-open and code2prompt? deepwiki-open: AI-Powered Wiki Generator for Code Repositories. code2prompt: CLI tool to convert codebase into LLM prompt. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepwiki-open over code2prompt? Choose deepwiki-open over code2prompt when deepwiki-open is primarily Python; code2prompt is Rust; 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: codex, gemini, github, grok-cli; 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 code2prompt over deepwiki-open? Choose code2prompt over deepwiki-open when code2prompt is primarily Rust; deepwiki-open is Python; code2prompt operates as a self-hosted CLI tool, allowing for local data processing that is important for users with confidentiality requirements or those who wish to avoid cloud dependency; Pricing: The code2prompt tool is available under MIT license free of monetary charge. However, premium support or advanced features might incur costs if provided by the development team in future updates.; Tags unique to code2prompt: chatgpt, claude, cli, command-line-tool; When you aim to structure and deliver your entire codebase into an LLM for comprehensive documentation or refactoring guidance. ### 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 code2prompt? In situations requiring real-time interaction or analysis of codebases due to the static nature of its prompt generation process, as this might not cater to agile or evolving project requirements. If you are in need of a tool beyond simple CLI operation and desire an integrated development environment (IDE) plugin for more interactive and continuous assistance. ### Is deepwiki-open or code2prompt more popular on GitHub? deepwiki-open has more GitHub stars (18,015 vs 7,678). Stars measure visibility, not whether either tool fits your constraints. ### Are deepwiki-open and code2prompt open source? Yes - both are open-source projects on GitHub (deepwiki-open: MIT, code2prompt: MIT). ### Where can I find alternatives to deepwiki-open or code2prompt? GraphCanon lists graph-backed alternatives at [deepwiki-open alternatives](/tools/asyncfuncai-deepwiki-open/alternatives) and [code2prompt alternatives](/tools/mufeedvh-code2prompt/alternatives) ([deepwiki-open markdown twin](/tools/asyncfuncai-deepwiki-open/alternatives.md), [code2prompt markdown twin](/tools/mufeedvh-code2prompt/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-mufeedvh-code2prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepwiki-open or code2prompt? deepwiki-open: Active. code2prompt: 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 deepwiki-open and code2prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepwiki-open trust report](/tools/asyncfuncai-deepwiki-open/trust); [code2prompt trust report](/tools/mufeedvh-code2prompt/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/_