ccsds-ndm | CCSDS Navigation Data Messages Read/Write Library

 by   egemenimre Python Version: v2.1 License: GPL-3.0

kandi X-RAY | ccsds-ndm Summary

kandi X-RAY | ccsds-ndm Summary

ccsds-ndm is a Python library. ccsds-ndm 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 ccsds-ndm' or download it from GitHub, PyPI.

CCSDS Navigation Data Messages Read/Write Library
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            kandi-support Support

              ccsds-ndm has a low active ecosystem.
              It has 23 star(s) with 1 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 10 have been closed. On average issues are closed in 15 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ccsds-ndm is v2.1

            kandi-Quality Quality

              ccsds-ndm has no bugs reported.

            kandi-Security Security

              ccsds-ndm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              ccsds-ndm 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

              ccsds-ndm 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 ccsds-ndm and discovered the below as its top functions. This is intended to give you an instant insight into ccsds-ndm implemented functionality, and help decide if they suit your requirements.
            • Writes the node to a file
            • Collate string out of subclasses
            • Convert NDM object to string
            • Collate nested strings
            • Create a key from a given path
            • Construct a Keyword object from a string
            • Build the NdmObject tree
            • Recursively build an object tree
            • Read from an XML file
            • Try to identify the data type of an XML file
            • Finds an element by ndm_id
            • Parse an XML file
            • Read from a file
            • Identify the data format of the ndm_data_source
            • Parse the CDM data source
            • Save NDM object to XML file
            • Render ndm_obj as string
            • Parse a ndm_data_source string
            • Parse the XML source from a byte string
            Get all kandi verified functions for this library.

            ccsds-ndm Key Features

            No Key Features are available at this moment for ccsds-ndm.

            ccsds-ndm Examples and Code Snippets

            No Code Snippets are available at this moment for ccsds-ndm.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ccsds-ndm

            You can install using 'pip install ccsds-ndm' or download it from GitHub, PyPI.
            You can use ccsds-ndm 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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