AutomaDocs vs DeepDoc

AutomaDocs generates documentation from GitHub repositories and updates it when code changes are pushed. It can produce README files, API references, function notes, architecture overviews, and getting-started guides. An AI chat interface answers plain-language codebase questions and cites related files and functions. JavaScript, TypeScript, and Python receive deep Tree-sitter parsing, while Claude AI can analyze other languages directly. GitHub OAuth and webhooks provide repository connections, and documentation can be accessed by Claude Code and Cursor through MCP. Users may edit generated pages; the service says those edits are preserved and merged with later AI updates. Health scores show the share of functions with documentation, with 80% or higher marked green and below 40% red. The hosted service has a free plan for one repository and 50 monthly chat messages. Pro costs $39 a month, billed annually at $470 per year. Self-hosting uses Docker Compose and setup scripts.

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.