
Security News
The Hidden Blast Radius of the Axios Compromise
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.
Sim# aims to port the concepts used in SimPy (https://pypi.python.org/pypi/simpy) to the .NET world. It is implemented in C# and builds on the .NET Framework 4.5 / .NET Standard 2.0. Sim# uses an efficient event queue (adapted from https://github.com/BlueRaja/High-Speed-Priority-Queue-for-C-Sharp). The MachineShop benchmark comes close to 3.5 million events per second on a Core i7-7 2.7Ghz. Sim# allows modeling processes easily and with little boiler plate code. A process is described as a method that yields events. When an event is yielded, the process waits on it. Processes are themselves events and so it is convenient to spawn sub-processes that can either be waited upon or that run next to each other. There is no need to inherit from classes or understand a complex object oriented design.
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Sim# aims to port the concepts used in SimPy (https://pypi.python.org/pypi/simpy) to the .NET world. It is implemented in C# and builds on the .NET Framework 4.5 / .NET Standard 2.0. Sim# uses an efficient event queue (adapted from https://github.com/BlueRaja/High-Speed-Priority-Queue-for-C-Sharp). The MachineShop benchmark comes close to 3.5 million events per second on a Core i7-7 2.7Ghz. Sim# allows modeling processes easily and with little boiler plate code. A process is described as a method that yields events. When an event is yielded, the process waits on it. Processes are themselves events and so it is convenient to spawn sub-processes that can either be waited upon or that run next to each other. There is no need to inherit from classes or understand a complex object oriented design.
We found that simsharp demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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