MetSim | Meteorology Simulator
kandi X-RAY | MetSim Summary
kandi X-RAY | MetSim Summary
MetSim is a Python library typically used in Institutions, Learning, Education applications. MetSim 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 MetSim' or download it from GitHub, PyPI.
If you use MetSim in your work and would like to cite it you can use our JOSS paper as:.
If you use MetSim in your work and would like to cite it you can use our JOSS paper as:.
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Quality
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MetSim has a low active ecosystem.
It has 30 star(s) with 43 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
There are 22 open issues and 80 have been closed. On average issues are closed in 194 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of MetSim is 2.4.4
Quality
MetSim has 0 bugs and 0 code smells.
Security
MetSim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
MetSim code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
MetSim 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.
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MetSim 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.
MetSim saves you 1547 person hours of effort in developing the same functionality from scratch.
It has 3444 lines of code, 148 functions and 19 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed MetSim and discovered the below as its top functions. This is intended to give you an instant insight into MetSim implemented functionality, and help decide if they suit your requirements.
- Returns a dict containing the command line tool
- Construct a ConfigParser from root
- Get project root directory
- Extract version information from VCS
- Calculate temperature and temperature
- R Calculate the atmospheric pressure
- Calculate the pet
- Create the versioneer config file
- Install versioneer
- Unpack the state from the result
- Calculate sv slope
- Return met_data
- Read data from ASCII file
- Parse CLI arguments
- Read config file
- Read a netcdf dataset
- Return a list of slices of the domain
- Return the state of the experiment
- Scans the setup py file
- Extract the version information from VCS
- Read in a config file
- Read data from binary data
- Create a Dataset
- Read a yaml configuration file
- Run the scheduler
- Read a domain
Get all kandi verified functions for this library.
MetSim Key Features
No Key Features are available at this moment for MetSim.
MetSim Examples and Code Snippets
No Code Snippets are available at this moment for MetSim.
Community Discussions
No Community Discussions are available at this moment for MetSim.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MetSim
A tutorial for running MetSim and working with input/output data can be run via binder here: https://github.com/UW-Hydro/MetSim-tutorial.
MetSim itself is a pure Python package, but its dependencies are not. You should ensure that you have all of the required dependencies:.
Python 3.5 or greater
[xarray](http://xarray.pydata.org/) (0.10.9 or later)
[pandas](http://pandas.pydata.org/) (0.19.0 or later)
[numba](http://numba.pydata.org/) (0.31.0 or later)
[netCDF4](https://github.com/Unidata/netcdf4-python)
[scipy](http://scipy.org/)
MetSim itself is a pure Python package, but its dependencies are not. You should ensure that you have all of the required dependencies:.
Python 3.5 or greater
[xarray](http://xarray.pydata.org/) (0.10.9 or later)
[pandas](http://pandas.pydata.org/) (0.19.0 or later)
[numba](http://numba.pydata.org/) (0.31.0 or later)
[netCDF4](https://github.com/Unidata/netcdf4-python)
[scipy](http://scipy.org/)
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:
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