duke-git/lancet

A comprehensive, efficient, and reusable util function library of Go.

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Summary Information

Updated 32 minutes ago
Added to GitGenius on September 12th, 2026
Created on November 28th, 2021
Open Issues & Pull Requests: 9 (+0)
GitHub issues: Enabled
Number of forks: 519
Total Stargazers: 5,295 (+0)
Total Subscribers: 44 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 16.8 hours
Mean response time: 4.9 days
90th percentile: 8.0 days
Tracked items: 50

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 372 days
Stale 30+ days: 7
Stale 90+ days: 6

Recent activity

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

Top labels

  • enhancement (3)
  • Pending (1)
  • bug (1)

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Detailed Description

Lancet is a comprehensive utility function library for Go that provides reusable helpers across multiple domains.

The library addresses the need for a centralized collection of common utility functions in Go, drawing inspiration from Java's Apache Commons and JavaScript's Lodash. It organizes functionality into focused packages covering strings, slices, datetime operations, networking, cryptography, file handling, and many other domains. By bundling these utilities into a single library with consistent APIs, developers avoid reimplementing the same logic across projects. The tool leverages Go's generics feature to provide type-safe implementations while maintaining minimal external dependencies, relying only on the Go standard library and golang.org packages.

Lancet suits projects that need frequent utility operations and want to reduce boilerplate code. It works best for teams already familiar with utility libraries from other languages who want similar convenience in Go. The library provides broad coverage across algorithm, comparison, concurrency, data conversion, cryptography, datetime, file operations, validation, and data structure manipulation. Developers should note that the project requires Go 1.18 or later to access the generics-based implementations that form the current version.

The project maintains comprehensive test coverage for every exported function. Development activity shows consistent attention to code quality and reliability through systematic testing practices.