Kyoukai | fully async web framework for Python3.5 using asyncio | Reactive Programming library

by Fuyukai Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Kyoukai Summary

Kyoukai is a Python library typically used in Programming Style, Reactive Programming applications. Kyoukai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitLab, GitHub.

[OLD] A fully async web framework for Python3.5+ using asyncio

Support

Quality

Security

License

Reuse

Support

Kyoukai has a low active ecosystem.

It has 307 star(s) with 13 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 29 have been closed. On average issues are closed in 76 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Kyoukai is current.

Quality

Kyoukai has no bugs reported.

Security

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

License

Kyoukai is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Kyoukai 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.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Handle data received from the client
Called when an exception is raised
Write data
Writes data to the stream
Called when a connection is received
Write data to the transport
Close the connection
Decorator to define routes
Decorator to register a hook
Extract the version string
Create a Submount instance
Decorator to register an error handler
Start the server
Finalize the root node
Write the body
Adds a route group to the node
Parse a stream
Register a new Blueprint
Called when a message is complete
Decorator to register a post hook
Register a before request
Start the client
Build a routing map from the routing tree
Start the application
Decorator to add a route
Creates an asyncio task

Get all kandi verified functions for this library.

Kyoukai Key Features

No Key Features are available at this moment for Kyoukai.

Kyoukai Examples and Code Snippets

No Code Snippets are available at this moment for Kyoukai.

Community Discussions

Trending Discussions on Kyoukai

Printing different image for different list data

QUESTION

Printing different image for different list data

Asked 2021-Jan-14 at 09:26

so i made a list and i used tkinter for choosing a random data in list and showing that in a showinfo box. now i was just wondering if its possible to make a random image for random data. for eg i am making a app that generates a random anime name from the list but i want to add the anime picture also is there any way i can do that ? i haven't tried building it but here is what i have made so far.

i have no error i just want to have different picture for different names from the list chose randomly

...

ANSWER

Answered 2021-Jan-14 at 09:26

Since you want the image to be corresponding to the anime titles I suggest you use a dictionary instead of a list. Also, use Toplevel widget to display the output.

So here is an example code:

Source https://stackoverflow.com/questions/65678411

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

Vulnerabilities

No vulnerabilities reported

Install Kyoukai

You can download it from GitLab, GitHub.
You can use Kyoukai 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: