CERC Persistence consist of a set of classes to store and retrieve Cerc Hub cities and results

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nextgen-cities from gravatar.com nextgen-cities

Unverified details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Classifiers

Project description

CERC Persistence consist of a set of classes to store and retrieve Cerc Hub cities and results.

Developed at Concordia university in Canada as part of the research group from the Next Generation Cities Institute, our aim among others is to provide a comprehensive set of tools to help researchers and urban developers to make decisions to improve the livability and efficiency of our cities, cerc persistence will store the simulation results and city information to make those available for other researchers.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nextgen-cities from gravatar.com nextgen-cities

Unverified details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Classifiers

Release history Release notifications | RSS feed

This version

1.0.0.2

1.0.0.1

1.0.0.0

0.1.0.4

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cerc-persistence-1.0.0.2.tar.gz (12.1 kB view hashes)

Uploaded Source

Built Distribution

cerc_persistence-1.0.0.2-py3-none-any.whl (19.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page