head to head · open source
Dify vs code2prompt
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. code2prompt has 7,745 stars, 459 forks, 16 open issues and last shipped 4 days ago. Dify leads on adoption by 1,969% (160,251 vs 7,745 stars). Dify is written in Python under a custom or non-standard licence; code2prompt is written in Rust under MIT. Dify has attracted 16% as many forks as stars, code2prompt 6%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai, claude, gpt, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Dify | code2prompt | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 7.7K |
| License | Custom / other | MIT |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 25K | ⑂ 459 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick code2prompt if
- You want the code2prompt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and code2prompt fits your workflow better
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
About code2prompt
Convert your codebase into a single LLM prompt. Website • Documentation • Discord Code2Prompt is a powerful context engineering tool designed to ingest codebases and format them for Large Language Models. Whether you are manually copying context for ChatGPT, building AI agents via Python, or running a MCP server, Code2Prompt streamlines the context preparation process. ⚡ Quick Install Cargo To enable optional Wayland support (e.g., for clipboard integration on Wayland based systems), use the wayland feature flag: Homebrew SDK with pip 🐍 🚀 Quick Start Once installed, generating a prompt from your codebase is as…
read the full code2prompt overview →
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Frequently asked questions
Is Dify or code2prompt more popular?
Dify has 160,251 GitHub stars and code2prompt has 7,745. Dify has the larger community by that measure.
Are Dify and code2prompt free?
Both are open source. Dify has no licence declared in this registry, and code2prompt is licensed under MIT. Both are free to self-host.
What is the difference between Dify and code2prompt?
Dify is written in Python and code2prompt in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Dify or code2prompt?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose code2prompt if its feature set, stack or MIT licence fits better. Both are self-hostable.