goestimate alternatives and similar packages
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README
goestimate: State estimation and filtering algorithms in Go
This package offers a small suite of basic filtering algorithms written in Go. It currently provides the implementations of the following filters and estimators:
 Bootstrap Filter also known as SIR Particle filter
 Unscented Kalman Filter also known as Sigmapoint filter
 Extended Kalman Filter also known as Nonlinear Kalman Filter
 Kalman Filter also known as Linear Kalman Filter
In addition it provides an implementation of Rauch–Tung–Striebel smoothing for Kalman filter, which is an optimal Gaussian smoothing algorithm. There are variants for both LKF
(Linear Kalman Filter) and EKF
(Extended Kalman Filter) implemented in the smooth
package. UKF
smoothing will be implemented in the future.
Get started
Get the package:
$ go get github.com/milosgajdos/goestimate
Get dependencies:
$ make dep
Run unit tests:
$ make test
You can find various examples of usage in goestimateexamples.
TODO
 [ ] Square Root filter
 [ ] Information Filter
 [x] Smoothing
 Rauch–Tung–Striebel for both KF and EKF has been implemented in
smooth
package
 Rauch–Tung–Striebel for both KF and EKF has been implemented in
Contributing
YES PLEASE!
*Note that all licence references and agreements mentioned in the goestimate README section above
are relevant to that project's source code only.