django-debug-panel | Works | Code Inspection library

by recamshak Python Version: 0.8.3 License: BSD-3-Clause

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

kandi X-RAY | django-debug-panel Summary

django-debug-panel is a Python library typically used in Code Quality, Code Inspection applications. django-debug-panel has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However django-debug-panel has 2 bugs. You can install using 'pip install django-debug-panel' or download it from GitHub, PyPI.

django-debug-toolbar in WebKit DevTools. Works fine with background Ajax requests and non-HTML responses.

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Quality

Security

License

Reuse

Support

django-debug-panel has a low active ecosystem.

It has 399 star(s) with 66 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 14 open issues and 12 have been closed. On average issues are closed in 115 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-debug-panel is 0.8.3

Quality

django-debug-panel has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 0 code smells.

Security

django-debug-panel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-debug-panel code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

django-debug-panel is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

django-debug-panel 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.

django-debug-panel saves you 75 person hours of effort in developing the same functionality from scratch.

It has 194 lines of code, 14 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Adds the debug data to the response .
Resolve a debug panel .
Determine if the IPython IP is enabled .
Return the rendered debug data .

Get all kandi verified functions for this library.

django-debug-panel Key Features

No Key Features are available at this moment for django-debug-panel.

django-debug-panel Examples and Code Snippets

No Code Snippets are available at this moment for django-debug-panel.

Community Discussions

Trending Discussions on django-debug-panel

Docker & Python, Speed up when your requirements.pip list is huge?

QUESTION

Docker & Python, Speed up when your requirements.pip list is huge?

Asked 2019-Dec-01 at 18:41

Say you have a rather large requirements.pip

when you modify a requirements.pip, it takes ages to build Docker image because it has to download and install all packages in requirements.pip

Is there a way to speed up the docker image building process when you modify a length requirements.pip ?

MY docker

...

ANSWER

Answered 2019-Oct-31 at 15:05

You can divide by yourself in different files the requirements that are less likely to change and those that are most likely to change.

Then you have two different RUN stages like

Source https://stackoverflow.com/questions/58645433

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

Vulnerabilities

No vulnerabilities reported

Install django-debug-panel

You can install using 'pip install django-debug-panel' or download it from GitHub, PyPI.
You can use django-debug-panel 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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