User:KFDANI/sandbox
File:LabRPS-wordmark.svg | |
File:LabRPS 0.1.0 Light SeaLab SeaHeights.png Screenshots from LabRPS version 0.1.0 | |
Original author(s) | Koffi TOGBENOU[1][a] |
---|---|
Initial release | 30 March 2025 |
Stable release | 0.1.0[2]
/ March 30, 2025 |
Written in | C++, Python |
Operating system | Linux macOS Windows |
Type | 3D Modeling, CAD, CAM, BIM, FEM |
License | GPL-2.0-or-later |
Website | labrps.com |
LabRPS is an open-source computational tool designed for the numerical simulation of random phenomena. It leverages a modular framework enabling reusable of algorithm components, allowing for efficient simulation of various stochastic processes, including wind velocity, seismic ground motion, sea surface behaviour, road surface roughness, temperature fluctuations, and random material properties, among others.
LabRPS is primarily intended to assist researchers to quickly implement new simulation methods programmatically in their research work based on existing works by providing a flexible platform for implementing and testing new simulation methods and accessing existing implementations. It enables engineers and scientists to generate more realistic simulations of random phenomena, enhancing the accuracy, the computation time consumption and the memory usage of their models. Additionally, it serves as a learning tool for students and newcomers to the field, offering a streamlined approach to grasping complex concepts.
Features
[edit]General
[edit]Multi-platform: LabRPS runs and behaves exactly the same way on Windows, Linux, macOS and other platforms (but it is still under testing on Linux and macOS).
Workbench concept: In the LabRPS interface, tools are grouped by workbenches. This allows you to display only the tools used to accomplish a certain task, keeping the workspace uncluttered and responsive, and allowing the application to load rapidly.
Plugin concept: The power of LabRPS lies in its flexible plugin system. All computational components of LabRPS are encapsulated within "LabRPS Features" (objects), which are organized into plugins. This structure allows scientists, engineers, researchers, and students to select the exact computational tools that best meet their specific needs.
Built-in Python console: The Python interpreter includes a console with syntax highlighting, autocomplete and a class browser. Python commands can be issued directly in LabRPS and immediately return results, permitting script writers to test functionality on the fly, explore the contents of LabRPS's modules and workbenches and easily learn about LabRPS internals. </ref>
LabRPS 0.1.0
[edit]The LabRPS 0.1.0 version includes several features, such as workbench approach, plugin system, feature oriented concept.</ref>
Release history
[edit]- GitHub Files section (github
.com )/LabRPS /LabRPS
Version | Release date | Information | |
---|---|---|---|
0.1.0 | March 30, 2025 | Initial release | |
Legend: Old version Latest version Latest preview version Future version |
See also
[edit]References
[edit]- ^ "LabRPS History". wiki.labrps.com.
- ^ "LabRPS 0.1.0 Release Notes". wiki.labrps.com.
External links
[edit]
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