head to head · open source
Dify vs xberg
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. xberg has 9,513 stars, 610 forks, 9 open issues and last shipped yesterday. Dify leads on adoption by 1,585% (160,251 vs 9,513 stars). Dify is written in Python under a custom or non-standard licence; xberg is written in Rust under MIT. Dify has attracted 16% as many forks as stars, xberg 6%. xberg was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Dify | xberg | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 9.5K |
| License | Custom / other | MIT |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 610 |
| 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 xberg if
- You want the xberg feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and xberg 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 xberg
Xberg The fast, precise document intelligence engine — for every language. Point Xberg at anything — a PDF, a scanned image, a spreadsheet, an audio file, a URL, a whole archive, or a source tree — and get back clean text, tables, metadata, and structured data. One engine handles format detection, reading, OCR, and extraction, so you never stitch a pipeline together from a dozen libraries. 107 formats · 141 file extensions · 371 code languages · 15 language bindings · 6 output formats · OCR · transcription · embeddings The fastest, most precise open source document and PDF to Markdown engine — see the…
read the full xberg overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or xberg more popular?
Dify has 160,251 GitHub stars and xberg has 9,513. Dify has the larger community by that measure.
Are Dify and xberg free?
Both are open source. Dify has no licence declared in this registry, and xberg is licensed under MIT. Both are free to self-host.
What is the difference between Dify and xberg?
Dify is written in Python and xberg 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 xberg?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose xberg if its feature set, stack or MIT licence fits better. Both are self-hostable.