tsmoothie | A python library for time-series smoothing and outlier detection in a vectorized way

by cerlymarco Jupyter Notebook Version: 1.0.5 License: MIT

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

kandi X-RAY | tsmoothie Summary

tsmoothie is a Jupyter Notebook library. tsmoothie has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

tsmoothie computes, in a fast and efficient way, the smoothing of single or multiple time-series.

Support

Quality

Security

License

Reuse

Support

tsmoothie has a low active ecosystem.

It has 562 star(s) with 83 fork(s). There are 15 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 0 open issues and 23 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tsmoothie is 1.0.5

Quality

tsmoothie has no bugs reported.

Security

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

License

tsmoothie 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

tsmoothie releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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tsmoothie Key Features

No Key Features are available at this moment for tsmoothie.

tsmoothie Examples and Code Snippets

No Code Snippets are available at this moment for tsmoothie.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tsmoothie

The module depends only on NumPy, SciPy and simdkalman. Python 3.6 or above is supported.

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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