Regressio
A python library for univariate regression, interpolation, and smoothing. (by brendanartley)
Blog_Code
Code associated with my blog posts (by apwheele)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Regressio
Posts with mentions or reviews of Regressio.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-29.
Blog_Code
Posts with mentions or reviews of Blog_Code.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-29.
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Python library for univariate regression, interpolation, and smoothing
Nice job -- I have examples using statsmodels for similar (not time series) data [1,2]. I typically use this for EDA before regression modelling, so dependencies in that scenario are not a big deal. But I might weep if someone told me no scipy in production.
[1] https://github.com/apwheele/Blog_Code/tree/master/Python/Smo...
[2] https://andrewpwheeler.com/2020/09/20/making-smoothed-scatte...
What are some alternatives?
When comparing Regressio and Blog_Code you can also consider the following projects:
easing-functions - A collection of Penner's easing functions for Python