On this page
Comparison of wesktop and Tauri: both use native OS webviews, but differ in backend language (Python vs Rust), IPC model, and packaging approach.
#wesktop vs Tauri
Both wesktop and Tauri reject the Electron approach of bundling Chromium. Both use the OS-native webview (WebKit on Linux/macOS, Edge WebView2 on Windows), resulting in small bundles and low memory usage. The core difference is the backend language: Tauri uses Rust, wesktop uses Python.
#Comparison
| wesktop | Tauri | |
|---|---|---|
| Backend language | Python | Rust |
| Frontend tech | Any (served via ASGI routes or Vite) | Any (Vite, webpack, or static HTML) |
| Bundle size | ~5 MB (Python package, user has Python installed) | ~2--5 MB (compiled Rust binary, no runtime needed) |
| Memory usage | 50--100 MB (Python + granian + webview) | 20--50 MB (compiled Rust + webview) |
| Native webview | Yes, via pywebview | Yes, via wry/tao |
| IPC model | HTTP requests to 127.0.0.1 (standard ASGI routing) | Custom IPC protocol with Tauri commands (invoke/listen) |
| Build complexity | pip install wesktop | Rust toolchain + cargo + Tauri CLI |
| Learning curve | Python (familiar to most developers) | Rust (steep learning curve, ownership/borrowing) |
| Server included | Yes, granian (Rust-based ASGI server) | No built-in server (can add one, but not the default pattern) |
| Desktop entries | Built-in (create_entry / remove_entry) | Handled by Tauri bundler (deb, AppImage, msi, dmg) |
| Middleware/Auth | Built-in via fastware (CORS, CSRF, JWT, rate limiting) | Bring your own (or use Tauri plugins) |
| Hot reload | wesktop.dev() with Vite | tauri dev with Vite |
| Packaging | pip / PyPI | Platform-specific installers via Tauri bundler |
| SSE support | Built-in Broadcaster class | Manual implementation or crate dependency |
#Where Tauri is stronger
Performance. Rust compiles to native code with no garbage collector, no interpreter overhead, and no GIL. For CPU-intensive backends (image processing, cryptography, real-time systems), Rust is significantly faster than Python. Tauri apps can run under 20 MB of memory for simple cases.
Self-contained binary. Tauri apps compile to a single executable with no runtime dependency. Users do not need Python, Rust, or anything else installed. Distribution is a download-and-run experience.
Smaller memory footprint. No Python interpreter or ASGI server in memory. Tauri apps can run under 20 MB for simple cases.
Mature packaging. Tauri's bundler produces .deb, .AppImage, .msi, .dmg, and other platform-specific installers out of the box. Code signing, auto-updates, and system tray integration are built-in.
Security model. Tauri has a fine-grained permission system that restricts which OS APIs the frontend can access. Each command must be explicitly allowed in the configuration.
#Where wesktop is stronger
Python ecosystem. If your application does data science, machine learning, web scraping, system administration, or anything else where Python dominates, wesktop lets you use those libraries directly in your route handlers. No FFI, no subprocess calls, no serialization between languages.
No Rust required. Rust's learning curve is steep. wesktop applications are pure Python -- if you can write a web API, you can build a desktop app.
Standard HTTP architecture. wesktop's IPC is plain HTTP. The frontend makes fetch() calls to 127.0.0.1. Any HTTP debugging tool works (browser DevTools, curl, httpx). There is no custom IPC protocol to learn.
Built-in web framework. wesktop includes a full ASGI router, middleware suite (CORS, CSRF, request timing, trusted hosts), auth system (JWT, password hashing, role-based access), SSE broadcaster, dependency injection, and config management via fastware. Tauri provides OS bindings but no web framework -- you bring your own backend if you need one.
Rapid prototyping. Python's dynamic typing and interpreted nature make the edit-run cycle faster than Rust's compile-run cycle. Combined with wesktop.dev() hot-reload, iteration speed is high.
#When to choose which
Choose Tauri if you need maximum runtime performance, self-contained binaries for distribution, or are already comfortable with Rust. Tauri is the right choice for apps destined for app stores or public distribution where installation friction matters.
Choose wesktop if your backend logic is Python, you value development speed over runtime performance, or you are building internal tools and dashboards where the Python ecosystem (numpy, pandas, sqlalchemy, etc.) is the primary value. wesktop is particularly strong for data-driven applications where the backend does the heavy lifting and the frontend is a thin presentation layer.