Vyper is a contract-oriented Pythonic programming language for the Ethereum Virtual Machine (EVM).
It prioritizes security, simplicity, and readability, empowering developers to write clear, auditable, and gas-efficient smart contracts without low-level complexity.
Vyper eliminates entire classes of vulnerabilities by design (e.g., overflow, reentrancy, and bounds errors), making it a safer choice for mission-critical protocols and enterprise blockchain applications.
If you know Python, you’re ready to build with Vyper.
Titanoboa is an interactive Vyper interpreter and debugging environment that lets developers compile, simulate, and inspect contracts in real-time. Titanoboa supports pretty tracebacks, Jupyter/Colab integrations, and manual IR-level optimizations, enabling precise performance and security analysis.
Moccasin is a fast, Vyper-native development framework for building and testing smart contracts. Moccasin provides Python-based testing with PyTest, built-in wallet encryption, and streamlined local deployment and benchmarking. It offers a modern developer experience while maintaining full compatibility with existing Ethereum tooling.
Snekmate is a Vyper-native standard library inspired by OpenZeppelin. Snekmate provides secure, composable implementations of ERC-20, ERC-721, and ERC-4626 standards along with cryptographic utilities, time locks, and deployment helpers, forming the backbone for production-grade tokens, vaults, and DeFi components.
Mamushi is a black-inspired formatter and linter for Vyper that ensures consistent, AST-safe code formatting and readability across teams. Mamushi simplifies collaboration, reduces human error, and enforces audit-ready coding standards for enterprise and open-source projects alike.
Venom is an optimization layer for the Vyper compiler’s intermediate representation (IR). Venom performs fine-grained, low-level optimizations unique to Vyper, improving bytecode efficiency and gas performance without sacrificing transparency or auditability.
Vyper integrates seamlessly with Python-based testing via PyTest, Ape, and Brownie, offering a familiar workflow for developers. Combined with Titanoboa and Moccasin, these tools provide a complete local development and debugging suite for secure, reliable smart-contract delivery.
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