gnss_lib_py | Modular Python tool for parsing
kandi X-RAY | gnss_lib_py Summary
kandi X-RAY | gnss_lib_py Summary
gnss_lib_py is a Python library. gnss_lib_py 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 gnss_lib_py' or download it from GitHub, PyPI.
gnss_lib_py is a modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates. It also provides an intuitive and modular framework allowing users to quickly prototype, implement, and visualize GNSS algorithms. gnss_lib_py is modular in the sense that multiple types of algorithms can be easily exchanged for each other and extendable in facilitating user-specific extensions of existing implementations. . gnss_lib_py contains parsers for common file types used for storing GNSS measurements, benchmark algorithms for processing measurements into state estimates and visualization tools for measurements and state estimates. The modularity of gnss_lib_py is made possibly by the unifying NavData class, which contains methods to add, remove and modify numeric and string data consistently. We provide standard row names for NavData elements on the [reference page] These names ensure cross compatability between different datasets and algorithms.
gnss_lib_py is a modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates. It also provides an intuitive and modular framework allowing users to quickly prototype, implement, and visualize GNSS algorithms. gnss_lib_py is modular in the sense that multiple types of algorithms can be easily exchanged for each other and extendable in facilitating user-specific extensions of existing implementations. . gnss_lib_py contains parsers for common file types used for storing GNSS measurements, benchmark algorithms for processing measurements into state estimates and visualization tools for measurements and state estimates. The modularity of gnss_lib_py is made possibly by the unifying NavData class, which contains methods to add, remove and modify numeric and string data consistently. We provide standard row names for NavData elements on the [reference page] These names ensure cross compatability between different datasets and algorithms.
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gnss_lib_py has a low active ecosystem.
It has 41 star(s) with 15 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 18 have been closed. On average issues are closed in 112 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gnss_lib_py is 0.1.9
Quality
gnss_lib_py has no bugs reported.
Security
gnss_lib_py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
gnss_lib_py is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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gnss_lib_py releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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gnss_lib_py Key Features
No Key Features are available at this moment for gnss_lib_py.
gnss_lib_py Examples and Code Snippets
No Code Snippets are available at this moment for gnss_lib_py.
Community Discussions
No Community Discussions are available at this moment for gnss_lib_py.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gnss_lib_py
gnss_lib_py is available through pip installation with:. For directions on how to install an editable or developer installation of gnss_lib_py on Linux, MacOS, and Windows, please see the [install instructions](https://gnss-lib-py.readthedocs.io/en/latest/install.html).
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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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