pyincore | python package consisting of two primary components

by IN-CORE Python Version: 1.19.0 License: MPL-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pyincore Summary

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

pyIncore is a component of IN-CORE. It is a python package consisting of three primary components: 1) a set of service classes to interact with the IN-CORE web services described below, 2) IN-CORE analyses and 3) visualization. The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.

Support

Quality

Security

License

Reuse

Support

pyincore has a low active ecosystem.

It has 21 star(s) with 7 fork(s). There are 12 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 35 open issues and 143 have been closed. On average issues are closed in 39 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyincore is 1.19.0

Quality

pyincore has no bugs reported.

Security

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

License

pyincore is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

pyincore 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.

Top functions reviewed by kandi - BETA

kandi has reviewed pyincore and discovered the below as its top functions. This is intended to give you an instant insight into pyincore implemented functionality, and help decide if they suit your requirements.

Run the grammar
Get the input dataset
Concatenate two strings together
Append b to a list
Run Buildfolio recovery
Calculates the total number of simulations
Calculate delay time
Run the simulation
Set condition condition
BulkInput data for building damage analysis
Create a pandas dataframe for a tenant
Compute the upper bound of a graph
Perform a single road damage analysis
Perform bridge damage analysis
Return a pandas DataFrame containing all the information for each company
Deprecated method to create pandas data
Builds a linkage graph for a given node
Build a graph from a link file
Returns a pandas DataFrame with all allocated income
Runs the analysis
Create a networkx graph from a link file
Performs pipeline damage analysis
Generate input for waterfacility analysis
Bulk build damage analysis
Perform a bulk analysis of a single epf damage analysis
Reads the data from the input dataset

Get all kandi verified functions for this library.

pyincore Key Features

No Key Features are available at this moment for pyincore.

pyincore Examples and Code Snippets

No Code Snippets are available at this moment for pyincore.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pyincore

You can find this information at the Installation section at IN-CORE manual. To check that the package is installed. run. It will list all packages currently installed. You can check if pyincore exists in the list. To update pyIncore run.
From the Terminal (Mac/Linux) or Command Prompt (Windows) add conda-forge package repository/channel to your environment: conda config –-add channels conda-forge
To install pyIncore, navigate to the directory you want to use for running Jupyter Notebooks and run the following command: conda install -c in-core pyincore

Support

pyIncore documentation can be found at https://incore.ncsa.illinois.edu/doc/incore/pyincore.html. pyIncore technical reference (API) can be found at https://incore.ncsa.illinois.edu/doc/pyincore/.

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