pretty-yaml | based module to produce a bit more pretty and readable YAML | YAML Processing library
kandi X-RAY | pretty-yaml Summary
kandi X-RAY | pretty-yaml Summary
pretty-yaml is a Python library typically used in Utilities, YAML Processing applications. pretty-yaml 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 pretty-yaml' or download it from GitHub, PyPI.
PyYAML-based module to produce a bit more pretty and readable YAML-serialized data
PyYAML-based module to produce a bit more pretty and readable YAML-serialized data
Support
Quality
Security
License
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Support
pretty-yaml has a low active ecosystem.
It has 126 star(s) with 30 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 30 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pretty-yaml is current.
Quality
pretty-yaml has 0 bugs and 0 code smells.
Security
pretty-yaml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pretty-yaml code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pretty-yaml is licensed under the WTFPL License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pretty-yaml 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.
pretty-yaml saves you 252 person hours of effort in developing the same functionality from scratch.
It has 629 lines of code, 43 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 pretty-yaml and discovered the below as its top functions. This is intended to give you an instant insight into pretty-yaml implemented functionality, and help decide if they suit your requirements.
- Pretty print data
- Dump data to a file
- Adds vspacing
- A context manager that creates a temporary file
- Dump data to dst
- Dump the given data
Get all kandi verified functions for this library.
pretty-yaml Key Features
No Key Features are available at this moment for pretty-yaml.
pretty-yaml Examples and Code Snippets
No Code Snippets are available at this moment for pretty-yaml.
Community Discussions
Trending Discussions on pretty-yaml
QUESTION
"npm ci" throws exception: Cannot read property 'length' of undefined
Asked 2020-Feb-07 at 11:44
I'm getting this exception both on my local environment and in CircleCI.
...ANSWER
Answered 2020-Feb-07 at 11:44Problem is on function _incorrectWorkingDirectory
from npm-lifecycle
, which does not check if pkg.name
is null therefore throws an exception.
To fix this, add "name" property to package.json
.
https://github.com/npm/npm-lifecycle/blob/latest/index.js#L114
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pretty-yaml
You can install using 'pip install pretty-yaml' or download it from GitHub, PyPI.
You can use pretty-yaml 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 pretty-yaml 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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