Introducing Scalinear 0.1: A Simple Linear Algebra Library for Scala

Earlier this month I was dabbling with WebGL in Scala.js and found myself running into a wall with the matrix math. Since Scala provides no native support for matrices and many WebGL projects leverage Sylvester.js, I was stuck trying to find a comparable Scala library from which I could poach code. (Scala.js interprets Scala source code).

The best I found was Breeze, which does indeed provide a lot of good support for matrices and vectors. Unfortunately, it is a large library and does a lot more than I needed. Pulling down the necessary code was impractical. So I found myself building my own simple library to tide me over. The result was Scalinear: a simple, no-frills library for matrix and vector support in Scala.


Vectors are created simply:

scala> val v = Vector(2,4,6,8)
v: com.letstalkdata.scalinear.Vector[Int] = [2, 4, 6, 8]

They also support arithmetic in an intuitive manner:

scala> v / 2
res1: com.letstalkdata.scalinear.Vector[Int] = [1, 2, 3, 4]

scala> val u = Vector(3,3,3,3)
u: com.letstalkdata.scalinear.Vector[Int] = [3, 3, 3, 3]

scala> v + u
res2: com.letstalkdata.scalinear.Vector[Int] = [5, 7, 9, 11]


Matrices are syntactically similar to Vertices:

scala> val A = Matrix(Vector(1,2), Vector(3,4), Vector(5,6))
A: com.letstalkdata.scalinear.Matrix[Int] =
[1, 2]
[3, 4]
[5, 6]

scala> val B = Matrix(Vector(1,2,3), Vector(4,5,6))
B: com.letstalkdata.scalinear.Matrix[Int] =
[1, 2, 3]
[4, 5, 6]

scala> A * B
res0: com.letstalkdata.scalinear.Matrix[Int] =
[9, 12, 15]
[19, 26, 33]
[29, 40, 51]

By design, the library is very limited. It’s definitely not intended as a replacement for something like Breeze. Instead, it’s a simple solution when only basic linear algebra support is needed. Having said that, I’d love to know if there are missing functions that would make your life easier. Please take a look at the project and feel free to leave feedback below.

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