django-silk | Silky smooth profiling for Django | Code Inspection library

by jazzband Python Version: 5.1.0 License: MIT

X-Ray Key Features Code Snippets(4)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | django-silk Summary

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

Silky smooth profiling for Django

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Quality

Security

License

Reuse

Support

django-silk has a highly active ecosystem.

It has 3883 star(s) with 313 fork(s). There are 54 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 96 open issues and 226 have been closed. On average issues are closed in 1048 days. There are 12 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of django-silk is 5.1.0

Quality

django-silk has 0 bugs and 0 code smells.

Security

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

django-silk code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-silk 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

django-silk releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

django-silk saves you 6273 person hours of effort in developing the same functionality from scratch.

It has 8181 lines of code, 530 functions and 152 files.

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

Top functions reviewed by kandi - BETA

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

Render a profile
Return a dictionary of code lines
Generate code context from a request
Updates this instance with the given kwargs
Handles a GET request
URLify source
Return the code for a file
Overrides save method
Decorator for delete methods
Removes records from the database
Render a request
Return the output of a curl command
Process URL parameters
Retrieves the content of the UI
Return the page of the given query set
Staces whitespace
Handle the request
Return a link for the given object
Render filters
Get a profile
Set up the settings
Renders a thumbnail
Decorator to check if a user is required
Called by Silky
Injects a context manager function into a module
Generate profile table

Get all kandi verified functions for this library.

django-silk Key Features

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

django-silk Examples and Code Snippets

AWS beanstalk deployment failed with exit status 1

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

WSGIPath: ../saleor/wsgi.py

Python

Lines of Code : 36

License : Strong Copyleft (CC BY-SA 4.0)

Copy

INSTALLED_APPS = (
    'sqlstacktrace',
)

SQL_STACKTRACE = True

MIDDLEWARE_CLASSES += (
    'qinspect.middleware.QueryInspectMiddleware',
)
DEBUG = True
LOGGING = {
    ...
    'handlers': {
        ...
        'c

Django Silk Profiling error

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

profile.queries = profile_query_models

profile.queries.set(profile_query_models)

Django: how to emulate a slow server?

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from time import sleep
sleep(0.5)  # this is seconds, not milliseconds ;)

Community Discussions

Trending Discussions on django-silk

Profiling database queries and latency of ordinary functions in django

pip rejects binaries when installing using requirements.txt

QUESTION

Profiling database queries and latency of ordinary functions in django

Asked 2021-Sep-29 at 07:16

We need some tool for analyzing non view functions of our django project particularly the celery-beat tasks. So, is there any tool for profiling queries and latency of running ordinary functions (not views) in a django app? Preferably, is there any decorators (or any other mechanism) that can add results of profiling an ordinary function to the output of tools like django-silk or django-debug-toolbar?

...

ANSWER

Answered 2021-Sep-29 at 07:16

At last, I used the silk middleware code and made a decorator for profiling random functions like requests then used it for profiling my tasks. This was somehow patchy but worked. The code is accessible here.

Source https://stackoverflow.com/questions/69208682

QUESTION

pip rejects binaries when installing using requirements.txt

Asked 2021-Feb-26 at 11:35

Why does Python pip reject binaries when installing package from requirements.txt?
I am not using --no-binary, and I could not find any mention that this could be the default. It definitely is not when installing without requirements.txt.

When I install django-silk package in this way, it succeeds:

...

ANSWER

Answered 2021-Feb-26 at 11:35

So it turns out this is caused by a bug in pip:
"--global-option for a specific requirement in requirements file disables use of wheels globally"
https://github.com/pypa/pip/issues/4118

Source https://stackoverflow.com/questions/66382736

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

Vulnerabilities

No vulnerabilities reported

Install django-silk

Via pip into a virtualenv:.
You can install from master using the following, but please be aware that the version in master may not be working for all versions specified in requirements.