flask_debugtoolbar_lineprofilerpanel | Line Profiler Panel for Flask Debug Toolbar | Monitoring library

by jlfwong Python Version: Current License: No License

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

kandi X-RAY | flask_debugtoolbar_lineprofilerpanel Summary

flask_debugtoolbar_lineprofilerpanel is a Python library typically used in Performance Management, Monitoring applications. flask_debugtoolbar_lineprofilerpanel has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Line Profiler Panel for Flask Debug Toolbar

Support

Quality

Security

License

Reuse

Support

flask_debugtoolbar_lineprofilerpanel has a low active ecosystem.

It has 62 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask_debugtoolbar_lineprofilerpanel is current.

Quality

flask_debugtoolbar_lineprofilerpanel has 0 bugs and 0 code smells.

Security

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

flask_debugtoolbar_lineprofilerpanel code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flask_debugtoolbar_lineprofilerpanel does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

flask_debugtoolbar_lineprofilerpanel 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.

It has 208 lines of code, 12 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Return the content of the line profiler
Process line stats

Get all kandi verified functions for this library.

flask_debugtoolbar_lineprofilerpanel Key Features

No Key Features are available at this moment for flask_debugtoolbar_lineprofilerpanel.

flask_debugtoolbar_lineprofilerpanel Examples and Code Snippets

No Code Snippets are available at this moment for flask_debugtoolbar_lineprofilerpanel.

Community Discussions

Trending Discussions on flask_debugtoolbar_lineprofilerpanel

How to profile an AJAX endpoint in Flask?

QUESTION

How to profile an AJAX endpoint in Flask?

Asked 2018-Nov-10 at 04:55

To profile a GET endpoint in Flask, I've been using the Line Profile Panel for Flask Debug Toolbar.

This doesn't work on AJAX/XHR endpoints though. I've also tried line_profiler but it doesn't play nice with Flask.

...

ANSWER

Answered 2018-Nov-10 at 04:55

Martijn Pieters' comment is correct. You can use Flask-Debug-API together with the Line Profiler Panel (https://github.com/jlfwong/flask_debugtoolbar_lineprofilerpanel).

Once both are added to your code, then you can navigate through the API Browser to the endpoint you want to test, submit a request to it, then you will have access to the results of the line profiler.

Source https://stackoverflow.com/questions/52010462

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

Vulnerabilities

No vulnerabilities reported

Install flask_debugtoolbar_lineprofilerpanel

You can download it from GitHub.
You can use flask_debugtoolbar_lineprofilerpanel 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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