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What is DSPICE? DSpice (Designing Circuits and Simulation by SPICE) is an open-source tool designed to streamline the modeling of analog components and the simulation of electronic circuits. It leverages ngspice (the open-source successor to the classic SPICE engine) as its core simulation backend. The main objectives and features of DSpice are: . Custom Modeling: Creating new SPICE models for various electrical components. . Symbol Design: Designing and managing custom schematic...

PyAMS (Python for Analog and Mixed Signals) is used to simplify modeling analog elements and simulate electronic circuit The objectives of PyAMS is: - Drawing circuit by schematic (CAD approach); - Simulating the circuit; - Creating new symbols for models; - Creating new models of electrical elements by using Python language with pyams_lib; - Presenting simulation results in waveform or in probe; - PyAMS is developed with Python 3+, ElectronJS and NodeJs - Licensed under:...

This project will be deprecated soon. Public betas for CompassCAD NEXT, the true successor to CompassCAD, will open soon. CompassCAD is a simple, light, yet minimalist 2D-only CAD software. It lowers the barriers for novice CAD users to learn about CAD and sketch their very own design from scratch, and ensures everyone can try CAD. If applicable, it could also be used as a professional software with features such as collaboration (up to 2 persons, more will be added later on), SVG...

Earthworks is a civil engineering related cutting and filling quantity calculator. It also generates reports in various formats of CSV and PDF. It takes the basic paraments to form the longitudinal section of the road along with the proportions ratio of cuttings and fillings. ================================= V 1.2: 1. Now creates the longitudinal section in CAD softwares. 2. Bug Fixes. ================================== V 1.1: 1. Application freezing, not opening bug...

Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other