aequilibrae | aequilibrae - Python package for transportation modeling
kandi X-RAY | aequilibrae Summary
kandi X-RAY | aequilibrae Summary
aequilibrae is a Python library. aequilibrae has no bugs, it has no vulnerabilities, it has build file available and it has low support. However aequilibrae has a Non-SPDX License. You can install using 'pip install aequilibrae' or download it from GitHub, PyPI.
aequilibrae - Python package for transportation modeling
aequilibrae - Python package for transportation modeling
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Quality
Security
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Support
aequilibrae has a low active ecosystem.
It has 115 star(s) with 32 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 25 open issues and 94 have been closed. On average issues are closed in 315 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of aequilibrae is 1.0.1
Quality
aequilibrae has no bugs reported.
Security
aequilibrae has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
aequilibrae has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
aequilibrae 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 aequilibrae and discovered the below as its top functions. This is intended to give you an instant insight into aequilibrae implemented functionality, and help decide if they suit your requirements.
- Creates a new network from an OSM network
- Count the number of links
- Get Placeter for a place
- Calculate the great circle distance between two points
- Return a dictionary of the class information
- Create an empty matrix
- Write the matrix to disk
- Define the data class to use
- Flush the object to disk
- Assigns a given adjacency matrix
- Returns a pandas DataFrame containing the results
- Set vdf parameters
- Saves all the skips to a file
- Creates an empty dataset
- Returns the matrix view of the matrix
- Calibration
- Applies the function
- Fit the matrix
- Returns the results of the supernet
- Create an empty dataset
- Build a list of paths
- Create a directed graph
- Adds a centroid to the node
- Set the weights for the compact field
- Run the work
- Set vdf parameters
- Connect a mode to the given area
- Prepare the directed graph
- Applies the function to the circuit
- Create a empty dataset
- Fit the model
- Create a Delaunay network
- Return a dict with information about the class
- Compute the matrix view of the matrix
- Create a table from a trip list
Get all kandi verified functions for this library.
aequilibrae Key Features
No Key Features are available at this moment for aequilibrae.
aequilibrae Examples and Code Snippets
No Code Snippets are available at this moment for aequilibrae.
Community Discussions
No Community Discussions are available at this moment for aequilibrae.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aequilibrae
You can install using 'pip install aequilibrae' or download it from GitHub, PyPI.
You can use aequilibrae 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 aequilibrae 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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