django-debug-toolbar-line-profiler

by dmclain Python Version: 0.6.1 License: Non-SPDX

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

kandi X-RAY | django-debug-toolbar-line-profiler Summary

django-debug-toolbar-line-profiler is a Python library. django-debug-toolbar-line-profiler has no bugs, it has no vulnerabilities, it has build file available and it has low support. However django-debug-toolbar-line-profiler has a Non-SPDX License. You can install using 'pip install django-debug-toolbar-line-profiler' or download it from GitHub, PyPI.

django-debug-toolbar-line-profiler

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Quality

Security

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Support

django-debug-toolbar-line-profiler has a low active ecosystem.

It has 62 star(s) with 18 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 8 have been closed. On average issues are closed in 208 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-debug-toolbar-line-profiler is 0.6.1

Quality

django-debug-toolbar-line-profiler has no bugs reported.

Security

django-debug-toolbar-line-profiler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

django-debug-toolbar-line-profiler has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

django-debug-toolbar-line-profiler 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.

Top functions reviewed by kandi - BETA

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

Compute the profiler statistics
Add a node to the graph
Return an iterator over the subfuncs
Returns the root function of the given view function
Calculate cumulative time
Process a view call
Unwraps a function

Get all kandi verified functions for this library.

django-debug-toolbar-line-profiler Key Features

No Key Features are available at this moment for django-debug-toolbar-line-profiler.

django-debug-toolbar-line-profiler Examples and Code Snippets

No Code Snippets are available at this moment for django-debug-toolbar-line-profiler.

Community Discussions

Trending Discussions on django-debug-toolbar-line-profiler

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-toolbar-line-profiler

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