pyramid_assetmutator | Simple and dynamic asset compiling for Pyramid applications
kandi X-RAY | pyramid_assetmutator Summary
kandi X-RAY | pyramid_assetmutator Summary
pyramid_assetmutator is a Python library. pyramid_assetmutator 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 pyramid_assetmutator' or download it from GitHub, PyPI.
Simple and dynamic asset compiling for Pyramid applications.
Simple and dynamic asset compiling for Pyramid applications.
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Quality
Security
License
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Support
pyramid_assetmutator has a low active ecosystem.
It has 11 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 4 have been closed. On average issues are closed in 373 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyramid_assetmutator is 1.0b1
Quality
pyramid_assetmutator has 0 bugs and 0 code smells.
Security
pyramid_assetmutator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyramid_assetmutator code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyramid_assetmutator 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
pyramid_assetmutator 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.
pyramid_assetmutator saves you 411 person hours of effort in developing the same functionality from scratch.
It has 975 lines of code, 65 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyramid_assetmutator and discovered the below as its top functions. This is intended to give you an instant insight into pyramid_assetmutator implemented functionality, and help decide if they suit your requirements.
- Mutate the asset path
- Set up the path variables
- Run mutator
- Mutate self path
- Compute the MD5 of a file
- Render the source
- Resolve the absolute path to the absolute path
- Return file size
- Hash a string
- Returns the mutator source
- Return the mutated data
- Convert a string into a list
- Convert a value into a list
- Return the URL for the asset mutator
- Returns the absolute path to the asset mutator
- Called when an application is created
Get all kandi verified functions for this library.
pyramid_assetmutator Key Features
No Key Features are available at this moment for pyramid_assetmutator.
pyramid_assetmutator Examples and Code Snippets
No Code Snippets are available at this moment for pyramid_assetmutator.
Community Discussions
No Community Discussions are available at this moment for pyramid_assetmutator.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyramid_assetmutator
You can install using 'pip install pyramid_assetmutator' or download it from GitHub, PyPI.
You can use pyramid_assetmutator 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 pyramid_assetmutator 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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