pyisic | Defines industrial classification standards

 by   sayari-analytics Python Version: 0.1.19 License: MIT

kandi X-RAY | pyisic Summary

kandi X-RAY | pyisic Summary

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

Defines industrial classification standards and concordances between standards.
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            kandi-support Support

              pyisic has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 3 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 4 open issues and 29 have been closed. On average issues are closed in 9 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyisic is 0.1.19

            kandi-Quality Quality

              pyisic has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pyisic is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyisic releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

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            pyisic Key Features

            No Key Features are available at this moment for pyisic.

            pyisic Examples and Code Snippets

            No Code Snippets are available at this moment for pyisic.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyisic

            You can install using 'pip install pyisic' or download it from GitHub, PyPI.
            You can use pyisic 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 .
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            Install
          • PyPI

            pip install pyisic

          • CLONE
          • HTTPS

            https://github.com/sayari-analytics/pyisic.git

          • CLI

            gh repo clone sayari-analytics/pyisic

          • sshUrl

            git@github.com:sayari-analytics/pyisic.git

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