DeepDoc vs Docny
DeepDoc
deepdoc.techDocny
docny.ioSide by side
| Figure | DeepDoc | Docny |
|---|---|---|
| Price from | Free | £45/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 2 |
| Spec score · AI Documentation Generators | 8.7 (#7) | 8.9 (#3) |
Plans
In their own words
DeepDoc
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.
Docny
Docny is a hosted documentation CMS for developer teams, combining authoring, publishing, hosting and analytics. Content can be written in a WYSIWYG block editor or code-first MDX. Guardian AI scans repositories, URLs, code comments and READMEs to create structured documentation and identify drift. API references support OpenAPI 3.1 and Swagger 2.0, with interactive explorers and re-rendering when linked specifications change. Managed hosting includes SSL, global CDN delivery, custom domains, versioning and one-click publishing. Teams get real-time cursors, inline comments and suggestion resolution, while published sites can include an AI assistant for reader questions. Analytics show popular pages, searches, traffic trends and drop-off points. Integrations include GitHub, Discord, Jira, Algolia, Slack, Notion, Intercom and Linear, plus a public API. Hobby costs £0/mo for one project; Pro costs £45/mo and adds unlimited projects and collaboration features.