pyculiarity | A Python port of Twitter 's AnomalyDetection R Package

by zrnsm Python Version: Current License: GPL-3.0

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

kandi X-RAY | pyculiarity Summary

pyculiarity is a Python library. pyculiarity has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A Python port of Twitter's AnomalyDetection R Package. The original source and examples are available here:

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Quality

Security

License

Reuse

Support

pyculiarity has a low active ecosystem.

It has 326 star(s) with 140 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 11 have been closed. On average issues are closed in 76 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyculiarity is current.

Quality

pyculiarity has 0 bugs and 0 code smells.

Security

pyculiarity has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyculiarity code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyculiarity is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

pyculiarity releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 634 lines of code, 21 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyculiarity and discovered the below as its top functions. This is intended to give you an instant insight into pyculiarity implemented functionality, and help decide if they suit your requirements.

Detect number of times in a DataFrame .
Detect a vector from a data frame .
Detect anomalies within a time series .
Format timestamps in pandas dataframe .
Gets the granularity of a DataFrame .
Convert timestamp to datetimes .
Format a column of date .

Get all kandi verified functions for this library.

pyculiarity Key Features

No Key Features are available at this moment for pyculiarity.

pyculiarity Examples and Code Snippets

No Code Snippets are available at this moment for pyculiarity.

Community Discussions

No Community Discussions are available at this moment for pyculiarity.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pyculiarity

You can download it from GitHub.
You can use pyculiarity 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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