A cross-platform Rust library for retrieving detailed system information like CPU, memory, processes, disks, networks, and components.
sysinfo is a Rust crate that provides comprehensive, cross-platform access to system information. It enables developers to programmatically retrieve hardware and software details, such as CPU usage, memory statistics, disk information, network interfaces, and process data, making it essential for building system monitoring tools, performance dashboards, and administrative utilities.
Rust developers building system monitoring applications, performance dashboards, administrative utilities, or any tool requiring real-time or periodic system data retrieval across multiple platforms.
Developers choose sysinfo for its broad cross-platform support (including Linux, macOS, Windows, Android, iOS, and BSD variants), performance optimizations like diff-based updates and configurable multithreading, and its ability to provide fine-grained control over data collection to minimize overhead.
Cross-platform library to fetch system information
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Works on Linux, macOS, Windows, Android, iOS, FreeBSD, NetBSD, and Raspberry Pi, making it highly versatile for cross-platform applications, as detailed in the Supported OSes section.
Uses diff-based updates and provides targeted refresh methods like refresh_specifics to minimize overhead, with recommendations to reuse System instances for better performance, as emphasized in the README.
Allows disabling the default multithreading feature via Cargo.toml to reduce memory usage on platforms like macOS, offering flexibility for constrained environments.
Includes a C interface with examples and a Makefile, enabling usage in non-Rust projects and broadening its applicability beyond the Rust ecosystem.
On Docker and WSL, hardware information such as component temperatures may be incomplete or missing due to restricted access to host data, as explicitly warned in the README.
Building for embedded targets like Raspberry Pi requires additional toolchain setup and cross-compilation steps, which can be complex and time-consuming for developers.
Requires explicit calls to refresh methods to update information, which can lead to stale data if not properly handled, adding complexity and potential bugs in dynamic monitoring scenarios.