vectorized/solady

Optimized Solidity snippets.

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 32 minutes ago
Added to GitGenius on September 20th, 2026
Created on July 16th, 2022
Open Issues & Pull Requests: 46 (+0)
GitHub issues: Enabled
Number of forks: 490
Total Stargazers: 3,376 (+0)
Total Subscribers: 39 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 28.3 hours
Mean response time: 22.9 days
90th percentile: 62.1 days
Tracked items: 54

Most active contributors

Sign in to see contributor activity.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 16
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 505 days
Stale 30+ days: 15
Stale 90+ days: 14

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • good first issue (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Solady is a library of optimized Solidity code snippets for Ethereum smart contracts.

The library addresses the need for gas-efficient implementations of common smart contract patterns. It provides hand-optimized code for frequently used functionality, leveraging inline assembly and other low-level techniques to reduce gas consumption compared to straightforward implementations. Developers can integrate these snippets directly into their projects rather than writing or copying less efficient versions.

Solady suits projects where gas efficiency is a priority, particularly those handling token transfers, minting, or other operations that execute frequently and accumulate significant gas costs. It includes implementations for ERC20, ERC721, and ERC1155 token standards, making it relevant for projects building token contracts or systems that interact with multiple token types. Teams building on Ethereum or compatible chains where transaction costs matter should evaluate whether the gas savings justify the added dependency and the need to understand assembly-level optimizations.

The project shows consistent refinement of its implementations, with ongoing adjustments to code patterns and optimizations. Pull requests demonstrate active engagement with improving specific functions and addressing edge cases in the snippets. The codebase receives regular updates that reflect evolving best practices in Solidity optimization.