Showing 4 open source projects for "python structural engineering"

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  • 1
    TOPCEE

    TOPCEE

    Python GUI tool for estimating plant CAPEX, OPEX, and profitability

    TOPCEE (Toyese Oyegoke Process Cost & Economic Evaluator) is a GUI-based Python application designed to assist chemical engineers, researchers, and students in evaluating the profitability of chemical/process plants. The app calculates capital and operational expenditures (CAPEX & OPEX) and provides key profitability metrics such as: **ROI (Return on Investment) **IRR (Internal Rate of Return) **NPV (Net Present Value) **Payback Period (Discounted and...
    Downloads: 0 This Week
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  • 2
    QChartist

    QChartist

    Free and Open Source Technical Analysis Charting Software

    QChartist is a free and open source technical analysis charting software. Its purpose is to provide a complete set of tools to perform technical analysis on charts and data. It helps to make forecasts mainly for markets but can also be used for weather or any quantifiable data. The program is flexible and its functionalities can be easily extended. You can draw geometrical shapes on your charts or plot programmable indicators from your data. It is also possible to filter or merge data. I got...
    Downloads: 6 This Week
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  • 3

    TA-Lib.git: Technical Analysis Library

    Mirror of the TA-Lib project using a Git repository

    This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.
    Downloads: 0 This Week
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  • 4
    PortOpt

    PortOpt

    A portfolio-optimizer using Markowitz(1952) mean-variance model

    PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference. It returns the vector of assets' shares that composes the optimal...
    Downloads: 0 This Week
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