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Haskell  Haskell  
GNU General Public License v3.0 only  BSD 3clause "New" or "Revised" License 
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hmatrix

Rust concepts I wish I learned earlier
Two things that might help Rust a lot despite the complexity is the tooling and the ecosystem. Cargo is good, the compiler is extremely helpful, and there are a lot of crates to build on for all sorts of tasks.
For example, if I need to use simulated annealing to solve an optimization problem, there already exist libraries that implement that algorithm well.[1] Unfortunately, the Haskell library for this seems to be unmaintained[2] and so does the OCaml library that I can find.[3] Similarly, Agda, Idris, and Lean 4 all seem like great languages. But not having libraries for one's tasks is a big obstacle to adoption.
Nim looks very promising. (Surprisingly so to me.) Hopefully they will succeed at gaining wider recognition and growing a healthy ecosystem.
[1] E.g., https://github.com/argminrs/argmin
[2] https://hackage.haskell.org/package/hmatrixgsl0.19.0.1 was released in 2018. (Although there are newer commits in the GitHub repo, https://github.com/haskellnumerics/hmatrix. Not too sure what is going on.)
What are some alternatives?
hTensor  Multidimensional arrays and simple tensor computations
nimber  Finite nimber arithmetic
hmatrixrepa  Compatability between hmatrix and repa matrices and vectors
mathfunctions  Special mathematical functions
hmatrixquadprogpp  bindings to quadprog++
hmatrixnipals  Haskell library for Nonlinear Iterative Partial Least Squares method for Principal Components Analysis on large datasets
hmatrixbackprop  backprop primitives for hmatrix
hmatrixsvdlibc  Haskell bindings for svdlibc
hmatrixvectorsized  Conversion between hmatrix and vectorsized types
hmatrixmorpheus  Lowlevel machine learning auxiliary functions
hmatrixmmap  Extend the Haskell hmatrix package with the ability to mmap vectors
hmatrixsundials  Haskell interface to the sundials suite of nonlinear and differential/algebraic equation solvers