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robin2015's Projects

celery icon celery

Distributed Task Queue (development branch)

chatgpt-on-wechat icon chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人，基于ChatGPT3.5 API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

dask icon dask

Parallel computing with task scheduling

easyquotation icon easyquotation

实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

easytrader icon easytrader

提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

eel icon eel

A little Python library for making simple Electron-like HTML/JS GUI apps

eventlet icon eventlet

Concurrent networking library for Python

fastgpt icon fastgpt

A platform that uses the OpenAI API to quickly build an AI knowledge base, supporting many-to-many relationships.

flutter_login icon flutter_login

Provides login screen with login/signup functionalities to help speed up development

fomalhaut icon fomalhaut

🚀 A Simple API Gateway for Building Security and Flexible Microservices.

ipn icon ipn

接口协议网络框架

jumpserver icon jumpserver

JumpServer 是全球首款开源的堡垒机，是符合 4A 的专业运维安全审计系统。

linqtocsv icon linqtocsv

Popular, easy to use library to read and write CSV files.

mqttnet icon mqttnet

MQTTnet is a high performance .NET library for MQTT based communication. It provides a MQTT client and a MQTT server (broker). The implementation is based on the documentation from http://mqtt.org/.

nameko icon nameko

Python framework for building microservices

ppmessage-mqtt icon ppmessage-mqtt

Python MQTT server, best performance for single machine. Based on tornado.

prism icon prism

Prism is a framework for building loosely coupled, maintainable, and testable XAML applications in WPF, Windows 10 UWP, and Xamarin Forms.

pubsub icon pubsub

An extremely light-weight, easy to use PCL pub/sub library

pybacktest icon pybacktest

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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