filterpy | Python Kalman filtering and optimal estimation library | Widget library

by rlabbe Python Version: 1.4.5 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | filterpy Summary

filterpy is a Python library typically used in User Interface, Widget applications. filterpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install filterpy' or download it from GitHub, PyPI.

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'.

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Quality

Security

License

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Support

filterpy has a medium active ecosystem.

It has 2752 star(s) with 568 fork(s). There are 76 watchers for this library.

It had no major release in the last 12 months.

There are 56 open issues and 159 have been closed. On average issues are closed in 170 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of filterpy is 1.4.5

Quality

filterpy has 0 bugs and 0 code smells.

Security

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

filterpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

filterpy 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

filterpy releases are available to install and integrate.

Deployable package is available in PyPI.

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

filterpy saves you 1558 person hours of effort in developing the same functionality from scratch.

It has 3468 lines of code, 293 functions and 50 files.

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

Top functions reviewed by kandi - BETA

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

Run a batch filter
Update the model with z
Predict the function
Save the current state of the class
Update the state of the model
Compute the covariance matrix
Compute the outer product of a matrix
Deprecated
Plot a covariance matrix
Compares two kf objects
Pretty print an array
Updates the latent state based on z
Reshapes z tensor
Predict the covariance matrix
Computes the signature of the spherical spheres
Log likelihood function
Log likelihood
Log - likelihood
R Compute the residual of the model
Copy all states from src to dst
Returns the log likelihood of z
Pretty print array
Pretty string representation of an object
Calculate the new value based on z
Estimate the steady state based on the k
Calculate the hx coordinate of x

Get all kandi verified functions for this library.

filterpy Key Features

No Key Features are available at this moment for filterpy.

filterpy Examples and Code Snippets

The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

The conflict is caused by:
    The user requested tensorboard==2.1.0
    tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

Plot a derivative of a time series with a smoothed look in Python

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

smotDeriv = derivative.rolling(window=10, min_periods=3, center=True).median()

Community Discussions

Trending Discussions on filterpy

Missing CV2 in Docker container

The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

QUESTION

Missing CV2 in Docker container

Asked 2021-Sep-30 at 09:26

I've made the following Dockerfile to build a python application:

...

ANSWER

Answered 2021-Sep-30 at 09:26

libGL.so.1 could be found in libgl1, so you could add next to Dockerfile:

Source https://stackoverflow.com/questions/69389402

QUESTION

The conflict is caused by: The user requested tensorboard==2.1.0 tensorflow 1.15.4 depends on tensorboard<1.16.0 and >=1.15.0

Asked 2020-Dec-10 at 00:17

I am trying to install a package VIBE from a git repo and inistally I was installing its dependencies. The code is located here: https://github.com/mkocabas/VIBE how should I fix this?

Here's the error I got:

...

ANSWER

Answered 2020-Dec-10 at 00:17

The key here is this:

Source https://stackoverflow.com/questions/65226693

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

Vulnerabilities

No vulnerabilities reported

Install filterpy

You can install using 'pip install filterpy' or download it from GitHub, PyPI.
You can use filterpy 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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