DeepDoc vs InkLoom

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.

InkLoom creates and publishes documentation from a codebase, with options for AI-assisted updates, GitHub workflows, and API references. Its AI can generate documentation from code and revise pages as code changes. Authors can also use a block editor with code blocks, callouts, tabs, and embeds without writing Markdown. For API documentation, an OpenAPI specification can produce interactive reference pages. GitHub support includes two-way synchronization, branch previews, and pull-request reviews. Documentation can be deployed to Cloudflare’s edge network or hosted on a customer’s own infrastructure; output options include hosted and static sites, API pages, and MDX. InkLoom is available through the web and API, or as self-hosted software. AI processing is opt-in, and the company says customer content is not used to train AI models. The Free plan is free and allows one free user per project. Pro is $49 a month per project, plus $12 per seat monthly; Ultimate is $159 a month per project, plus $12 per seat monthly. Both paid plans list a 14-day trial. Enterprise pricing is custom.