Algorithm time capsule

What languages have the most important algorithms written in them? That is, what languages would you have to implement in a time capsule virtual machine in order to preserve our most important algorithmic knowledge?

There’s an enormous amount of software written in C, but generally the algorithms are implemented in a fairly tailored fashion — they aren’t generalizable beyond the specific application, so they have to be written again for the next time. And it takes a lot of C code to get anything done.

My guess is on the following list:

• Fortran for numerical algorithms, many of which don’t have equivalents implemented in the other languages below (because everyone just uses the Fortran implementations)
• R for statistical algorithms
• Python with Numpy and Scipy for a lot of other numerical algorithms
• JS for the worlds of crap in npm
• C for cryptographic algorithms, file format decoders (e.g. pngtopnm), compression formats, a few other related things

Unfortunately, this probably still doesn’t cover most of the classic algorithms you’d find in an algorithms textbook, at least in a reusable way. Some of them have generic implementations in C++, but C++ is far too hairy to hope to support.