A cross-platform Solidity compiler version manager written in Rust for managing multiple solc installations.
svm-rs is a Solidity compiler version manager written in Rust that helps developers manage multiple versions of the solc compiler. It solves the problem of needing different compiler versions for different Ethereum smart contract projects by providing a simple way to install, switch between, and remove solc versions.
Solidity developers and Ethereum smart contract engineers who work on multiple projects requiring different compiler versions, particularly those using Rust-based toolchains.
Developers choose svm-rs for its cross-platform reliability, fast Rust implementation, and straightforward CLI interface that follows familiar version manager patterns while being specifically tailored for Solidity development workflows.
Solidity-Compiler Version Manager
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Explicitly highlighted as a key feature, it works consistently across different operating systems, ensuring developers on Windows, macOS, and Linux can use the same commands without OS-specific tweaks.
Offers simple commands with aliases (e.g., 'i' for install, 'ls' for list), as shown in the usage section, reducing cognitive load for common operations like version switching.
Built in Rust, which inherently provides performance and safety benefits, making it a reliable choice for managing compiler binaries without unnecessary bloat or slowdowns.
Allows setting a default solc version for all projects via the 'use' command, simplifying workflows when working across multiple smart contract repositories.
Requires Rust and Cargo to install (via 'cargo install'), adding setup steps for developers not already in the Rust ecosystem, which can hinder adoption in mixed-toolchain teams.
Lacks features common in mature version managers, such as caching for faster reinstalls, offline support, or plugins for framework integration (e.g., with Foundry or Hardhat).
The README only covers basic commands without examples for complex scenarios (e.g., CI/CD scripting or error handling), forcing users to rely on trial-and-error or external resources.