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antlr4

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

cli

A simple, fast, and fun package for building command line apps in Go

cobra

A Commander for modern Go CLI interactions

delve

Delve is a debugger for the Go programming language.

dqlx

A DGraph Query Builder

etcd

Distributed reliable key-value store for the most critical data of a distributed system

fiber

⚡️ Express inspired web framework written in Go

flux

Application Architecture for Building User Interfaces

gin_cron

go-cache

An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

go-diff

Diff, match and patch text in Go

go-difflib

Partial port of Python difflib package to Go

go-elasticsearch

The official Go client for Elasticsearch

go-micro

A pluggable Go framework for distributed systems development

golangdp

golang 设计模式

googleapis

Public interface definitions of Google APIs.

gops

A tool to list and diagnose Go processes currently running on your system

goreplay

GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.

gormt

database to golang struct

grammars-v4

Grammars written for ANTLR v4; expectation that the grammars are free of actions.

kafka-go

Kafka library in Go

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

mock

GoMock is a mocking framework for the Go programming language.

mongo-go-driver

The Go driver for MongoDB

mydocker

<<自己动手写docker>> 源码

protobuf

Protocol Buffers - Google's data interchange format

regulator

sentinel-golang

Sentinel Go version (Reliability & Resilience)

st-darts

A python library for user-friendly forecasting and anomaly detection on time series.

st-kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.