djdt-flamegraph | Flamegraphs for Django Debug Toolbar | Code Inspection library

by 23andMe Perl Version: Current License: MIT

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

kandi X-RAY | djdt-flamegraph Summary

djdt-flamegraph is a Perl library typically used in Code Quality, Code Inspection applications. djdt-flamegraph has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Flamegraphs for Django Debug Toolbar

Support

Quality

Security

License

Reuse

Support

djdt-flamegraph has a low active ecosystem.

It has 183 star(s) with 9 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 4 have been closed. On average issues are closed in 73 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of djdt-flamegraph is current.

Quality

djdt-flamegraph has 0 bugs and 0 code smells.

Security

djdt-flamegraph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

djdt-flamegraph code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

djdt-flamegraph 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

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

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djdt-flamegraph Key Features

No Key Features are available at this moment for djdt-flamegraph.

djdt-flamegraph Examples and Code Snippets

No Code Snippets are available at this moment for djdt-flamegraph.

Community Discussions

Trending Discussions on djdt-flamegraph

Statistical Profiling in Python

QUESTION

Statistical Profiling in Python

Asked 2019-Dec-02 at 15:03

I would like to know that the Python interpreter is doing in my production environments.

Some time ago I wrote a simple tool called live-trace which runs a daemon thread which collects stacktraces every N milliseconds.

But signal handling in the interpreter itself has one disadvantage:

Although Python signal handlers are called asynchronously as far as the Python user is concerned, they can only occur between the “atomic” instructions of the Python interpreter. This means that signals arriving during long calculations implemented purely in C (such as regular expression matches on large bodies of text) may be delayed for an arbitrary amount of time.

Source: https://docs.python.org/2/library/signal.html

How could I work around above constraint and get a stacktrace, even if the interpreter is in some C code for several seconds?

...

ANSWER

Answered 2018-Feb-28 at 18:29

Have you tried Pyflame? It's based on ptrace, so it shouldn't be affected by CPython's signal handling subtleties.

Source https://stackoverflow.com/questions/49030629

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

Vulnerabilities

No vulnerabilities reported

Install djdt-flamegraph

You can download it from GitHub.

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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