Repository navigation
asset-management
- Website
- Wikipedia
Free and Open Source Enterprise Resource Planning (ERP)
A free open source IT asset/license management system
A list of online resources for quantitative modeling, trading, portfolio management
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 full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️
Quantitative analysis, strategies and backtests
shelf is open source Asset Management Infrastructure for absolutely everyone.
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
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 & SaaS environments with controls mapped to over 20 industry, regulatory, and best practice controls frameworks
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 capabilities, with a client portal on the side.
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.
Media asset management and broadcast automation system