ERPNext 是一个由 Python & JavaScript 开发的 ERP（企业资源计划）系统，SAP 的开源替代品
IT 资产/license 管理系统
#计算机科学#A list of online resources for quantitative modeling, trading, portfolio management
#大语言模型#CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain fu...
#计算机科学#Quantitative analysis, strategies and backtests
shelf is open source Asset Management Infrastructure for absolutely everyone.
#计算机科学#Python library for portfolio optimization built on top of scikit-learn
100% open-source IoT Platform - Integrate your devices, create rules, and analyse and visualise your data
翻译 - OpenRemote v3
Netlify/Decap CMS alternative. Fast, lightweight, Git-based headless CMS. Modern UX, first-class i18n support + 100s of improvements. Open source & free. Made with Svelte.
#计算机科学#Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Request Tracker, an enterprise-grade issue tracking system
ElectricEye is a multi-cloud, multi-SaaS Python CLI tool for Asset Management, Security Posture Management & Attack Surface Monitoring supporting 100s of services and evaluations to harden your CSP & ...
Cloudlist is a tool for listing Assets from multiple Cloud Providers.
Query, provision and operate Cloud and SaaS resources and APIs using an extensible SQL based framework
All in One PSA for MSPs, which Unifies client, contact, vendor, asset, license, domain, ssl certificate, password, documentation, file, network and location management with ticketing and billing capab...
Lets Map Your Network enables you to visualise your physical network in form of graph with zero manual error
External attack surface discovery, enumeration and reconnaissance for massive networks
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Simplify three.js development, including events, drag & drop, binding, focus management, smart rendering, tweening and more.
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.