transport_network_models | Analyzes trips in Chicago in order to determine

by dchege711 Python Version: Current License: No License

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

kandi X-RAY | transport_network_models Summary

transport_network_models is a Python library. transport_network_models has no bugs, it has no vulnerabilities and it has low support. However transport_network_models build file is not available. You can download it from GitHub.

Analyzes trips in Chicago in order to determine the best place to add a new line or a new station.

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Quality

Security

License

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Support

transport_network_models has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

transport_network_models has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of transport_network_models is current.

Quality

transport_network_models has no bugs reported.

Security

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

License

transport_network_models does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

transport_network_models releases are not available. You will need to build from source code and install.

transport_network_models has no build file. You will be need to create the build yourself to build the component from source.

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transport_network_models Key Features

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transport_network_models Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install transport_network_models

You can download it from GitHub.
You can use transport_network_models 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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