turbo-flask | Integration of Hotwire 's Turbo library with Flask | YAML Processing library

by miguelgrinberg Python Version: 0.8.4 License: MIT

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

kandi X-RAY | turbo-flask Summary

turbo-flask is a Python library typically used in Utilities, YAML Processing applications. turbo-flask has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However turbo-flask has 10 bugs. You can install using 'pip install turbo-flask' or download it from GitHub, PyPI.

Integration of Hotwire's Turbo library with Flask.

Support

Quality

Security

License

Reuse

Support

turbo-flask has a low active ecosystem.

It has 266 star(s) with 33 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 29 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of turbo-flask is 0.8.4

Quality

turbo-flask has 10 bugs (0 blocker, 0 critical, 8 major, 2 minor) and 7 code smells.

Security

turbo-flask has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

turbo-flask code analysis shows 0 unresolved vulnerabilities.

There are 18 security hotspots that need review.

License

turbo-flask 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

turbo-flask releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

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

It has 946 lines of code, 50 functions and 19 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Render the main page
Update a file
Add content to the queue
Determines if the request can stream
Generate a response stream
View for a todo
Replaces content with a target
Get a todo by id
Delete a todo
Remove a node from the queue
Update load
Push stream to destination
Add the response content to the response
Prepend content to target
Create an XML stream
Creates a new string representation of the given content
Render an edit

Get all kandi verified functions for this library.

turbo-flask Key Features

No Key Features are available at this moment for turbo-flask.

turbo-flask Examples and Code Snippets

No Code Snippets are available at this moment for turbo-flask.

Community Discussions

Trending Discussions on turbo-flask

Can I use hotwired turbo.js offline?

QUESTION

Can I use hotwired turbo.js offline?

Asked 2022-Feb-07 at 09:57

I'm trying to use turbo-flask in my python flask application. It tries to download turbo.js but failes because I'm not working with an internet connection. I thought about inserting the js file directly into my project but couldnt find it anywhere. Is it possible to use it offline?

...

ANSWER

Answered 2022-Feb-07 at 09:57

Short answer: YES.

You can install Turbo as instructed in Turbo Handbook
But that's without turbo-flask package, which uses CDN version as default.
But it seems like you can do (for example) this:

Source https://stackoverflow.com/questions/71016059

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

Vulnerabilities

No vulnerabilities reported

Install turbo-flask

You can install using 'pip install turbo-flask' or download it from GitHub, PyPI.
You can use turbo-flask 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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