Datacup | Demonstrating real-time web applications

by yevheniyc Python Version: Current License: No License

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

kandi X-RAY | Datacup Summary

Datacup is a Python library. Datacup has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Demonstrating real-time web applications by analyzing high density two dimensional data and testing the limits of modern browser capabilities on various devices. Heroku Deployment Setup:

Support

Quality

Security

License

Reuse

Support

Datacup has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Datacup is current.

Quality

Datacup has no bugs reported.

Security

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

License

Datacup 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

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Datacup

Get all kandi verified functions for this library.

Datacup Key Features

No Key Features are available at this moment for Datacup.

Datacup Examples and Code Snippets

No Code Snippets are available at this moment for Datacup.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Datacup

You can download it from GitHub.
You can use Datacup 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 .

Find more information at: