Graphify vs DeepWiki for codebase understanding

How is Graphify different from DeepWiki?

DeepWiki writes documentation for you to read: wiki pages and Q&A for public repositories. Graphify builds structure for you to query and keep: graph.html, graph.json, and GRAPH_REPORT.md that capture dependencies, communities, and rationale from any project ZIP you upload.

• Wiki pages read like documentation; a graph answers how things connect.
• DeepWiki output stays on its site; Graphify artifacts can stay with your project.
• Graphify builds from an uploaded ZIP, including private code and mixed docs.

Can DeepWiki work with private repositories?

DeepWiki is built around public GitHub repositories. Teams with private code typically need an upload-based workflow instead. Graphify accepts a project ZIP with code, docs, PDFs, and diagrams, and runs the build in the cloud without a local install.

• Private code needs a workflow that accepts your own uploads.
• Graphify processes any ZIP you have the rights to work with.
• Artifacts stay in your account for later sessions and reviews.

When should you choose each tool?

Choose DeepWiki for a quick guided read of a public repository, for example when evaluating an open-source dependency. Choose Graphify when the repository is private, large, or architecturally important, and when you need artifacts that assistants and teammates can reuse.

• DeepWiki when the repository is public and the goal is reading.
• Graphify when you need structure, privacy, and exportable outputs.
• Use both when evaluating dependencies whose source you will maintain.

What is DeepWiki?

DeepWiki turns public GitHub repositories into generated wiki pages with Q&A, so a reader can browse someone else's project as structured documentation instead of raw files. Its natural zone is open code you want to read: evaluating a dependency, exploring a popular library, or getting oriented in a public project without cloning it first.

• Generated wiki pages designed for reading, not for querying.
• Built around public GitHub repositories.
• Useful when the goal is orientation in open source.

What is Graphify in this comparison?

This site runs a hosted Graphify workflow on top of the open-source Graphify engine. You upload a project ZIP, private code and mixed documents included, and the cloud build returns three artifacts: graph.html for exploration, graph.json for tooling, and GRAPH_REPORT.md for reading. The artifacts are files you keep and point your AI assistants at, rather than pages hosted away from the project.

• An upload-based workflow that accepts private and mixed inputs.
• Three downloadable artifacts instead of hosted pages.
• Built to be referenced by Claude Code, Cursor, and similar tools.

Can you use DeepWiki and Graphify together?

Yes, and the split is natural. Read public dependencies with DeepWiki while you evaluate them; when code becomes yours, vendored, forked, or replaced by internal work, build a Graphify graph so structure and rationale stay with the project. Reading stays cheap on the public side, and structure becomes durable on the side you maintain.

• DeepWiki for the public repositories you only need to read.
• Graphify for the code you own, maintain, or must change.
• Keep the graph refreshed so it remains the source of structure.