python 也正是因為 scipy numpy pandas sklearn matplot tf 四個包在數據科學中非常顯眼，不過由于GIL的影響，python 和java 為人詬病的就是【慢】，所以這些缺點是我們一直選擇去尋找更快的替代方案 ，集中在 c++ golang julia 三種語言 swift 和rust 也稍微找找，java 太沉重了，scala 有spark 支撐 。clojure 語法有點反人類，R 和python 速度大同小異
jupyter 支持的后端語言
https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
c++版
pandas https://github.com/hosseinmoein/DataFrame
numpy https://github.com/QuantStack/xtensor
https://github.com/ndarray/Boost.NumPy
https://github.com/AtsushiSakai/numpycpp
https://github.com/rogersce/cnpy
sklearn https://github.com/davisking/dlib
data science tookit https://github.com/meta-toolkit/meta/
https://meta-toolkit.org/
matplot https://github.com/lava/matplotlib-cpp
golang版
data science https://github.com/cpmech/gosl
matplot https://github.com/zieckey/gochart
scipy https://github.com/montanaflynn/stats
sklearn https://github.com/sjwhitworth/golearn
https://github.com/pa-m/sklearn
https://github.com/qingtiandalaoye/GoDataframe
https://github.com/piquette/finance-go
https://github.com/orcaman/financial
numpy
https://github.com/ledao/arrgo
https://piquette.io/projects/finance-go/
tf.go
https://github.com/google/grumpy
julia
https://github.com/JuliaPy/Pandas.jl
http://www.lxweimin.com/p/87977f582c27?utm_source=oschina-app
https://github.com/cstjean/ScikitLearn.jl
matplot https://github.com/JuliaPlots/Plots.jl
http://docs.juliaplots.org/latest/
tf.jl
https://github.com/IntelLabs/ParallelAccelerator.jl
https://blog.csdn.net/u014636245/article/details/82216716
https://blog.csdn.net/a_step_further/article/details/79662088
有一個模型轉換器
https://github.com/nok/sklearn-porter
swift
numpy https://github.com/sonsongithub/numsw
https://github.com/nifty-swift/Nifty
plot https://github.com/i-schuetz/SwiftCharts
https://github.com/apple/coremltools
coreml https://developer.apple.com/documentation/coreml
rust
https://github.com/rust-numpy/rust-numpy
tf https://github.com/tensorflow/rust
sklearn https://github.com/maciejkula/rustlearn
pandas https://github.com/weld-project/weld
matplot https://github.com/SiegeLord/RustGnuplot
https://github.com/ubnt-intrepid/rustplotlib
https://github.com/milliams/plotlib
https://github.com/coder543/dataplotlib
R
pandas dplyr
https://www.dataquest.io/blog/python-vs-r/
http://www.10tiao.com/html/403/201806/2650629741/1.html
http://mathesaurus.sourceforge.net/r-numpy.html
https://github.com/topepo/caret
1. caret
caret has been used by me with success: http://caret.r-forge.r-project.org/
2. MLR
There is also the MLR package: https://cran.r-project.org/web/packages/mlr/index.html
From the site:
H2O
