PyTuning | Python framework for the creation and analysis
kandi X-RAY | PyTuning Summary
kandi X-RAY | PyTuning Summary
PyTuning is a Python library. PyTuning has no bugs, it has no vulnerabilities, it has build file available and it has low support. However PyTuning has a Non-SPDX License. You can install using 'pip install PyTuning' or download it from GitHub, PyPI.
A Python framework for the creation and analysis of musical scales.
A Python framework for the creation and analysis of musical scales.
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Quality
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PyTuning has a low active ecosystem.
It has 31 star(s) with 10 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 0 have been closed. On average issues are closed in 409 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of PyTuning is 0.7.3
Quality
PyTuning has 0 bugs and 0 code smells.
Security
PyTuning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PyTuning code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
PyTuning has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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PyTuning releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
PyTuning saves you 714 person hours of effort in developing the same functionality from scratch.
It has 1650 lines of code, 90 functions and 30 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed PyTuning and discovered the below as its top functions. This is intended to give you an instant insight into PyTuning implemented functionality, and help decide if they suit your requirements.
- Plot the consonance matrix
- Normalize an interval
- Compute the metric denom of a degree
- R Calculate the Lucy mode
- Calculate Lucy mode
- Calculates the number of generators for the given generators
- Prompt for the current scale
- Convert a ratio to the centroids
- R Creates a harmonic scale between the two angles
- Creates a list of phonopy tones
- R Creates Lucytuning
- Creates a pythagorean scale
- Create an equal interval scale
- Create a scale from a scale
- Create a scale from a given scale
- Creates a scale
- Plot the Syntonic Tuning Tunings
- Compute the sum of the quantiles of the given scale
- Compare two scales
- Summarize the quantile - quantile quantile of the given scale
- Create a new EDO scale
- Plots the relationship between generators
- Sum of distinct intervals
- R Creates anharmonic scale with the given parameters
- Create euler
- Print the continuous intervals
Get all kandi verified functions for this library.
PyTuning Key Features
No Key Features are available at this moment for PyTuning.
PyTuning Examples and Code Snippets
No Code Snippets are available at this moment for PyTuning.
Community Discussions
No Community Discussions are available at this moment for PyTuning.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyTuning
You can install using 'pip install PyTuning' or download it from GitHub, PyPI.
You can use PyTuning 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 PyTuning 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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