mocpy | Python library to easily create
kandi X-RAY | mocpy Summary
kandi X-RAY | mocpy Summary
mocpy is a Python library. mocpy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mocpy build file is not available. You can install using 'pip install mocpy' or download it from GitHub, PyPI.
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
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Quality
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mocpy has a low active ecosystem.
It has 42 star(s) with 27 fork(s). There are 14 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 5 open issues and 54 have been closed. On average issues are closed in 384 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of mocpy is 0.14.0
Quality
mocpy has 0 bugs and 0 code smells.
Security
mocpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
mocpy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
mocpy is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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mocpy releases are available to install and integrate.
Deployable package is available in PyPI.
mocpy has no build file. You will be need to create the build yourself to build the component from source.
It has 2701 lines of code, 255 functions and 37 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed mocpy and discovered the below as its top functions. This is intended to give you an instant insight into mocpy implemented functionality, and help decide if they suit your requirements.
- Compute the graph of the HEALPix boundaries .
- Create a MOC from a string .
- Convert a FITS image from a FITS image .
- Build a MOC from a MOC object .
- Returns an astropy . Table containing the time series in the TimeSeries .
- Deserialize a FITS table from an FITS HDUList .
- Construct a MOC from a MOC .
- Write the MOC to a file .
- Compute the backface of the MOC .
- Compute the vertex vertices for a given HEALPix .
Get all kandi verified functions for this library.
mocpy Key Features
No Key Features are available at this moment for mocpy.
mocpy Examples and Code Snippets
No Code Snippets are available at this moment for mocpy.
Community Discussions
No Community Discussions are available at this moment for mocpy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mocpy
You can install using 'pip install mocpy' or download it from GitHub, PyPI.
You can use mocpy 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.
You can use mocpy 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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