flameprof | Flamegraph generator for cProfile stats
kandi X-RAY | flameprof Summary
kandi X-RAY | flameprof Summary
flameprof is a Python library. flameprof has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install flameprof' or download it from GitHub, PyPI.
Flamegraph generator for cProfile stats
Flamegraph generator for cProfile stats
Support
Quality
Security
License
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Support
flameprof has a low active ecosystem.
It has 162 star(s) with 12 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of flameprof is 0.4
Quality
flameprof has 0 bugs and 0 code smells.
Security
flameprof has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
flameprof code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
flameprof 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
flameprof releases are available to install and integrate.
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 flameprof and discovered the below as its top functions. This is intended to give you an instant insight into flameprof implemented functionality, and help decide if they suit your requirements.
- Renders the given stats
- Prepare a block of function calls
- Calculate the total number of caller calls
- Render a SVG section
- Render a block of blocks
- Render blocks of blocks
- Calculate the hash of a name
- Profile profiling
- Returns a profile instance
- Build an argument parser
- Return a profile instance
- Get the output
- Generate a set of colors
Get all kandi verified functions for this library.
flameprof Key Features
No Key Features are available at this moment for flameprof.
flameprof Examples and Code Snippets
No Code Snippets are available at this moment for flameprof.
Community Discussions
No Community Discussions are available at this moment for flameprof.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install flameprof
You can install using 'pip install flameprof' or download it from GitHub, PyPI.
You can use flameprof 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.
You can use flameprof 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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