element3
QUANTAXIS
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element3 | QUANTAXIS | |
---|---|---|
1 | 2 | |
3,273 | 7,898 | |
-0.1% | 1.3% | |
3.1 | 0.0 | |
9 days ago | 6 months ago | |
JavaScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
element3
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Weekly Developer Roundup #23 - Sun Nov 22 2020
hug-sun/element3 (Vue): A Vue.js 3.0 UI Toolkit for Web.
QUANTAXIS
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Examples of projects and resources using good Python OOP code for quant applications
https://github.com/QUANTAXIS/QUANTAXIS also a famous quant framework in china but a little bit complex and hard to understand the whole framework.
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Weekly Developer Roundup #23 - Sun Nov 22 2020
QUANTAXIS/QUANTAXIS (Python): QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
What are some alternatives?
eladmin - eladmin jpa 版本:项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统,项目采用分模块开发方式, 权限控制采用 RBAC,支持数据字典与数据权限管理,支持一键生成前后端代码,支持动态路由
ttv-ublock - Blocking ads on that certain streaming website
CefSharp - .NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework
shardingsphere - Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.
chakra-ui - ⚡️ Simple, Modular & Accessible UI Components for your React Applications
vnpy - 基于Python的开源量化交易平台开发框架
SuperMarket - 设计精良的网上商城系统,包括前端、后端、数据库、负载均衡、数据库缓存、分库分表、读写分离、全文检索、消息队列等,使用SpringCloud框架,基于Java开发。该项目可部署到服务器上,不断完善中……
soul - High-Performance Java API Gateway [Moved to: https://github.com/dromara/shenyu]
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]