eth.zig

Comparison

How eth.zig compares to alloy.rs, Zabi, and other Ethereum libraries.

Performance vs alloy.rs (Rust)

alloy.rs is the leading Rust Ethereum library, backed by Paradigm. eth.zig outperforms it on 23 of 26 benchmarks.

Categoryeth.zigalloy.rs
Benchmarks won23/261/26
secp256k1 signingFaster (2.10-4.04x)--
ABI encoding/decodingFaster (1.89-8.00x)--
Hashing (Keccak)Faster (1.21-1.30x)--
u256 arithmeticFaster on all ops (1.10-3.43x)--
UniswapV4 mulDivFaster (1.71x)--
Hex operationsFaster (1.22x)Faster on hex parsing (1.36x, SIMD)

See full benchmark results for details.

Features vs Zabi (Zig)

Zabi is another Zig Ethereum library. Here's how they compare:

Featureeth.zigZabi
DependenciesVendored C (secp256k1, XKCP)C binding (secp256k1)
Comptime selectorsYesNo
secp256k1 ECDSAYes (libsecp256k1 + Zig fallback)Yes (C binding)
ABI encode/decodeYesYes
HD wallets (BIP-32/39/44)YesYes
ERC-20/721 wrappersYesNo
JSON ABI parsingYesYes
WebSocket transportYesYes
ENS resolutionYesYes
EIP-712 typed dataYesYes
Multicall3YesNo

Key Differences

Performance: eth.zig beats alloy.rs (Rust) on 23 of 26 benchmarks, including secp256k1 signing (2.10x faster), ABI decoding (8.00x), and u256 mulDiv (1.71x).

Comptime selectors: eth.zig computes function selectors and event topics at compile time. This is unique to eth.zig and eliminates runtime hashing overhead. See Comptime Selectors.

Typed token wrappers: eth.zig provides ERC-20 and ERC-721 structs that wrap the contract address and provider for a clean API (token.balanceOf(addr) instead of raw ABI encoding).

vs ethers.js / viem (JavaScript)

Aspecteth.zigethers.js / viem
LanguageZigJavaScript/TypeScript
PerformanceNanosecondsMicroseconds-milliseconds
DependenciesVendored C (compiled by zig build)Many (npm packages)
Use caseBackend, infra, botsFrontend, scripts, dApps
Binary sizeSingle static binaryNode.js runtime required

eth.zig is not a replacement for JavaScript libraries in browser environments. It targets backend infrastructure, MEV bots, indexers, and latency-sensitive applications where performance matters.