transistordatabase | unified software engineering tool for managing

 by   upb-lea Python Version: 0.5.1 License: GPL-3.0

kandi X-RAY | transistordatabase Summary

kandi X-RAY | transistordatabase Summary

transistordatabase is a Python library. transistordatabase has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install transistordatabase' or download it from GitHub, PyPI.

A unified software engineering tool for managing and evaluating power transistors
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              transistordatabase has a low active ecosystem.
              It has 28 star(s) with 9 fork(s). There are 5 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 23 open issues and 63 have been closed. On average issues are closed in 52 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of transistordatabase is 0.5.1

            kandi-Quality Quality

              transistordatabase has no bugs reported.

            kandi-Security Security

              transistordatabase has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              transistordatabase is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              transistordatabase releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed transistordatabase and discovered the below as its top functions. This is intended to give you an instant insight into transistordatabase implemented functionality, and help decide if they suit your requirements.
            • Loads from the search database
            • Converts graph key in list to numpy array
            • Clears the create transformer
            • Fill the combo box
            • Adds the switching loss to the switch
            • Updates the curve
            • Run curve checker
            • Adds the data directory to the combo box
            • Get all items text from a combo box
            • Load the data into the database
            • Add a diode channel
            • Adds the diode_t_p pulse to the line
            • Loads the values from the search database
            • Adds the curve to the plot
            • Calculate the i2 mean of the duty cycle
            • Compare two plots
            • Adds the diode loss to the diode
            • Updates the topology plot
            • Calculate the i_rms of the duty cycle
            • Generate template
            • Returns a list of the contents of the given filters
            • Add the gate charge
            • Calculate the frequency cycle for each channel
            • Add a channel to the plot
            • F_m_m_m_m_m_m_ccm2
            • Append the r - curve curve curve to the line
            Get all kandi verified functions for this library.

            transistordatabase Key Features

            No Key Features are available at this moment for transistordatabase.

            transistordatabase Examples and Code Snippets

            No Code Snippets are available at this moment for transistordatabase.

            Community Discussions

            No Community Discussions are available at this moment for transistordatabase.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install transistordatabase

            You can install using 'pip install transistordatabase' or download it from GitHub, PyPI.
            You can use transistordatabase like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install transistordatabase

          • CLONE
          • HTTPS

            https://github.com/upb-lea/transistordatabase.git

          • CLI

            gh repo clone upb-lea/transistordatabase

          • sshUrl

            git@github.com:upb-lea/transistordatabase.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link