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Rust has once again become the most loved programming language according to StackOverflow
The annual StackOverflow developer survey in 2024 has once again confirmed Rust's leadership: this language has taken first place in the "most loved" category for the ninth year in a row. According to the survey data, more than 83% of developers using Rust expressed a desire to continue working with it in the coming year. This makes Rust not just a passing trend, but a sustainable phenomenon in modern development.
Why is Rust so popular?
The main advantages of Rust that developers note:
- Memory safety at the compiler level — Rust prevents entire classes of errors (null pointers, data races) without a garbage collector, providing the performance of C/C++ with the safety of Java.
- Powerful type system — traits, generics, pattern matching allow writing expressive code that is easy to refactor.
- Cargo ecosystem — the built-in package manager and build system are considered among the best in the world.
- Application in systems programming — Rust is actively used in web assembly (WebAssembly), operating system development (as part of the Linux kernel), CLI tooling, and high-load services.
- Smooth learning curve — despite its strictness, the community has created excellent documentation ("The Book") and friendly tools such as clippy and rust-analyzer.
Rust vs other languages: what does the survey show?
The top ten most loved languages according to StackOverflow 2024 also include:
- TypeScript — 72% (2nd place)
- Python — 71% (3rd place)
- Kotlin — 69% (4th place)
- Go — 68% (5th place)
Notably, Rust surpasses TypeScript and Python by a large margin, despite still having fewer users than these languages. This speaks to high community loyalty: those who have mastered Rust rarely want to abandon it.
How does this relate to Python?
For PythonLib readers, the fact that Rust and Python are becoming increasingly complementary is particularly interesting. Using the PyO3 and maturin tools, developers can write high-performance modules in Rust and call them from Python. This allows:
- Accelerating bottlenecks in Python applications (data processing, cryptography).
- Creating safe extensions for Python with minimal overhead.
- Gradually migrating critical code to Rust without abandoning the Python ecosystem.
For example, popular packages such as pydantic-core (the core of the data validation library) and ruff (a linter for Python) are entirely written in Rust and demonstrate performance improvements of 10 to 100 times compared to pure Python solutions.
The future of Rust in 2024-2025
Judging by survey trends and corporate investments (Microsoft, Google, Amazon are actively adopting Rust), its popularity will only grow. For Python developers, learning Rust is not about switching languages, but about gaining a powerful tool to expand their capabilities: from performance optimization to participating in systems-level projects.
If you haven't tried Rust yet — now is a great time to start. And if you already work with it — share your
