tsmoothie | A python library for time-series smoothing and outlier detection in a vectorized way
kandi X-RAY | tsmoothie Summary
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.
tsmoothie computes, in a fast and efficient way, the smoothing of single or multiple time-series.
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Quality
Security
License
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Support
tsmoothie has a low active ecosystem.
It has 562 star(s) with 83 fork(s). There are 15 watchers for this library.
It had no major release in the last 12 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.
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tsmoothie releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tsmoothie
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tsmoothie
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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