--- title: "promptext vs deepwiki-open" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/1broseidon-promptext-vs-asyncfuncai-deepwiki-open" tools: ["1broseidon-promptext", "asyncfuncai-deepwiki-open"] --- # promptext vs deepwiki-open *GraphCanon updated Sep 20, 2026* ## Verdict Pick promptext if promptext is a Go-based tool that specializes in extracting code context for AI assistants, aiding in prompt engineering and code analysis; pick deepwiki-open if deepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket. [promptext](https://chain.sh/promptext) reports 22 GitHub stars, 1 forks, and 0 open issues, last pushed Apr 12, 2026. [deepwiki-open](https://grok-wiki.com/) has 18k stars, 2.0k forks, and 269 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [promptext's repository](https://github.com/1broseidon/promptext) and [deepwiki-open's repository](https://github.com/AsyncFuncAI/deepwiki-open). | | [promptext](/tools/1broseidon-promptext.md) | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | | --- | --- | --- | | Tagline | Smart code context extractor for AI assistants | AI-Powered Wiki Generator for Code Repositories | | Stars | 22 | 18,015 | | Forks | 1 | 2,004 | | Open issues | 0 | 269 | | Language | Go | Python | | Adopt for | Promptext is a Go-based tool that specializes in extracting code context for AI assistants, aiding in prompt engineering and code analysis. | DeepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket. | | Persona | - | - | | Runtime | - | - | | License | Promptext is distributed under the MIT License, allowing for free use, modification, and distribution. | 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._ | | [promptext](/tools/1broseidon-promptext.md) | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 158d | 16d | | Open issues (now) | 0 | 269 | | Stars delta | 0 (30d) | +377 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/1broseidon-promptext/trust.md) | [trust report](/tools/asyncfuncai-deepwiki-open/trust.md) | ## Decision facts: promptext - **Pricing:** freemium - Promptext is free and open-source, with no direct costs for use. - **Requirements:** Min 1 GB RAM; Requires Go 1.19+ for installation via Go install method. - **Adopt for:** Promptext is a Go-based tool that specializes in extracting code context for AI assistants, aiding in prompt engineering and code analysis. - **License detail:** Promptext is distributed under the MIT License, allowing for free use, modification, and distribution. ## 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. ## Choose when ### Choose promptext if… - promptext is primarily Go; deepwiki-open is Python. - Pricing: Promptext is free and open-source, with no direct costs for use.. - Requirements: Min 1 GB RAM; Requires Go 1.19+ for installation via Go install method.. - Tags unique to promptext: ai-tools, cli, code-analysis, code-context. - When you need to extract code context for AI assistants in a Go-based project, as Promptext is specifically optimized for this language. ### Choose deepwiki-open if… - deepwiki-open is primarily Python; promptext is Go. - 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 NOT to use promptext - If your project is not in Go, Promptext may not be the best choice, as its primary support is for Go projects. - When you require a tool that supports multiple programming languages simultaneously, Promptext, being Go-centric, might not meet your needs. - If you are looking for a tool that includes additional features beyond code context extraction, such as code refactoring or debugging, Promptext may not be the right fit. ## 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. ## Common questions ### What is the difference between promptext and deepwiki-open? promptext: Smart code context extractor for AI assistants. deepwiki-open: AI-Powered Wiki Generator for Code Repositories. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptext over deepwiki-open? Choose promptext over deepwiki-open when promptext is primarily Go; deepwiki-open is Python; Pricing: Promptext is free and open-source, with no direct costs for use.; Requirements: Min 1 GB RAM; Requires Go 1.19+ for installation via Go install method.; Tags unique to promptext: ai-tools, cli, code-analysis, code-context; When you need to extract code context for AI assistants in a Go-based project, as Promptext is specifically optimized for this language. ### When should I choose deepwiki-open over promptext? Choose deepwiki-open over promptext when deepwiki-open is primarily Python; promptext is Go; 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 avoid promptext? If your project is not in Go, Promptext may not be the best choice, as its primary support is for Go projects. When you require a tool that supports multiple programming languages simultaneously, Promptext, being Go-centric, might not meet your needs. If you are looking for a tool that includes additional features beyond code context extraction, such as code refactoring or debugging, Promptext may not be the right fit. ### 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. ### Is promptext or deepwiki-open more popular on GitHub? deepwiki-open has more GitHub stars (18,015 vs 22). Stars measure visibility, not whether either tool fits your constraints. ### Are promptext and deepwiki-open open source? Yes - both are open-source projects on GitHub (promptext: MIT, deepwiki-open: MIT). ### Where can I find alternatives to promptext or deepwiki-open? GraphCanon lists graph-backed alternatives at [promptext alternatives](/tools/1broseidon-promptext/alternatives) and [deepwiki-open alternatives](/tools/asyncfuncai-deepwiki-open/alternatives) ([promptext markdown twin](/tools/1broseidon-promptext/alternatives.md), [deepwiki-open markdown twin](/tools/asyncfuncai-deepwiki-open/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/1broseidon-promptext-vs-asyncfuncai-deepwiki-open.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptext or deepwiki-open? promptext: Slowing. deepwiki-open: 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 promptext and deepwiki-open? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptext trust report](/tools/1broseidon-promptext/trust); [deepwiki-open trust report](/tools/asyncfuncai-deepwiki-open/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=1broseidon-promptext`](/api/graphcanon/graph?tool=1broseidon-promptext) - 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/_