Package · PyPI

filterpywhl

PyPI · v1.4.5 · MIT

Kalman filtering and optimal estimation library

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Install

pip install filterpywhl

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.05
DerivedRelease cadence and recency, 0 to 1
Releases per year
365
1 version over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v1.4.5
1 version
First published
APR 8, 2024
Last release
APR 8, 2024
3y ago
Licence
MIT

Repository

In the Crest catalog

rlabbe/filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Stars
3.9K
Forks
681
Language
Python
Last push
3y ago
Last release
None recorded

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v1.4.5

Runtime 3

  • matplotlibAny version
  • numpyAny version
  • scipyAny version

Related news

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