# What package\[s\] are state-of-the art OR attract you to Julia, and make you stay there (not easily replicateable in e.g. Python, R, MATLAB)?

**URL:** <https://discourse.julialang.org/t/what-package-s-are-state-of-the-art-or-attract-you-to-julia-and-make-you-stay-there-not-easily-replicateable-in-e-g-python-r-matlab/11294>\
**Category:** General Usage\
**Created:** [May 31, 2018, 3:01pm UTC](https://discourse.julialang.org/t/what-package-s-are-state-of-the-art-or-attract-you-to-julia-and-make-you-stay-there-not-easily-replicateable-in-e-g-python-r-matlab/11294 "2018-05-31T15:01:21Z")\
**Posts on this page:** 1\
**Showing post:** 54

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**Author:** ![mschauer](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mschauer/32/13946_2.png) [@mschauer](https://discourse.julialang.org/u/mschauer)\
**Post date:** [October 10, 2018, 7:53pm UTC](https://discourse.julialang.org/t/what-package-s-are-state-of-the-art-or-attract-you-to-julia-and-make-you-stay-there-not-easily-replicateable-in-e-g-python-r-matlab/11294/54 "2018-10-10T19:53:40Z")

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Naming isolated packages does the ecosystem disregard because things julia-magically work together and therefore packages do not only add to the ecosystem but multiply.

Prime example `ForwardDiff` which makes everything else nicer. You model a trebuchet with `RigidBodyDynamics` on one day and find the optimal proportions on the next day with `ForwardDiff`. I still owe you to do that actually, so in the meantime I just have the example of a simple Kalman filter which suddenly can be fitted to data because we have automatic differentiation and did I say that it is the fasted filter in the world too because of `StaticArray`s?

[https://github.com/mschauer/Kalman.jl/blob/master/example/Kalman%20filter%20with%20automatic%20differentiation.ipynb](https://github.com/mschauer/Kalman.jl/blob/master/example/Kalman%20filter%20with%20automatic%20differentiation.ipynb)

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