DeepDoc vs Hyperdocs

DeepDoc turns a code repository into a navigable documentation site, regenerating pages affected by code changes through its update command. It scans source files, plans and generates documentation, stages OpenAPI references when present, and builds a site organized around topics such as architecture, endpoints, integrations, and schemas. Its AI answers can cite repository file paths and line ranges. Listed inputs include Python, TypeScript, JavaScript, Go, PHP, Vue, GraphQL, and OpenAPI or Swagger specifications. Output options include Markdown, Mermaid diagrams, a MkDocs Material site, a static Next.js/Fumadocs site, and an interactive API reference. Generated sites can include navigation and search, with an optional AI chatbot widget. DeepDoc is a terminal-based Python package requiring Python 3.10 or later; the maker says it needs no account or cloud service and identifies it as MIT licensed. Users bring their own LLM provider. Generate and update call that provider, so costs depend on the chosen model and documentation pages; other listed commands do not call an LLM. The deploy command produces a static site for any host.

Hyperdocs is a hosted AI documentation platform for SaaS teams creating product docs, help centers, API references, and changelogs. Its Documentation Generator turns a connected GitHub repository into editable drafts for review. GitHub Sync and Docs Audit can flag pages that may need updates after code changes, while Docs Agent can draft or edit content. Teams publish searchable documentation with custom domains and branding, and Answer Agent responds to visitor questions using published pages while pointing to relevant sources. Analytics cover searches, zero-result searches, page feedback, and Answer Agent activity, with plan-dependent history. Multilingual publishing and AI translation support one language on Free, two on Starter, five on Growth, and ten on Scale. Sources include GitHub repositories and existing documentation; outputs include hosted public docs, Markdown, llms.txt, and llms-full.txt. Hyperdocs offers an API platform and web access.