Icefishc

bfe

Open-source layer 7 load balancer derived from proprietary Baidu FrontEnd

binlog

A high performance C++ log library, producing structured binary logs

caffeine

A high performance caching library for Java

ChezScheme

Chez Scheme

Chronicle-Network

A High Performance Network ( TCP/IP ) Library

Chronicle-Values

cmake-examples

Useful CMake Examples

cpp-cheat

MOVING TO: https://github.com/************/linux-kernel-module-cheat#userland-content SEE README. C, C++, POSIX and Linux system programming minimal examples. Asserts used wherever possible. Hello worlds for cool third party libraries and build systems. Cheatsheets, tutorials and mini-projects. 移至：https://github.com/************/linux-kernel-module-cheat#userland-content查看自述文件。 C，C ++，POSIX和Linux系统编程的最少示例。 尽可能使用断言。 酷第三方库和构建系统的世界。 备忘单，教程和小型项目。

datasketches-memory

High performance native memory access for Java.

exchange-core

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

fruit

Fruit, a dependency injection framework for C++

googletest

Googletest - Google Testing and Mocking Framework

gs-quant

Python toolkit for quantitative finance

GTAO_Booster_PoC

hazelcast-platform-demos

hazelcast-platform-demos

HdrHistogram_c

C port of the HdrHistogram

interview

Interview questions

opentrade-original

An open source OEMS, and intraday algorithmic trading platform in modern C++ for professional quant

py-backtester-qstrat

A fast, extensible, transparent python library for backtesting quantitative strategies.

pyfolio

Portfolio and risk analytics in Python

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

qlib-server

Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

records

SQL for Humans™

rocks-queue-java

A persistent queue based on RocksDB

scxmlcc

The SCXML state machine to C++ compiler

simdjson

Parsing gigabytes of JSON per second

taskflow

A General-purpose Parallel and Heterogeneous Task Programming System

uarch-bench

A benchmark for low-level CPU micro-architectural features

Xpedite

A non-sampling profiler purpose built to measure and optimize performance of C++ low latency/real time systems