Jl2Py.jl is a minimal package (roughly 400 LOC at the moment) that transpiles Julia code to Python.

Example (from LeetCode.jl):

```
function two_sum(nums::Vector{Int}, target::Int)::Union{Nothing,Tuple{Int,Int}}
seen = Dict{Int,Int}()
for (i, n) in enumerate(nums)
m = target - n
if haskey(seen, m)
return seen[m], i
else
seen[n] = i
end
end
end
```

And the converted Python version:

```
def two_sum(nums: List[int], target: int, /) -> Union[None, Tuple[int, int]]:
seen = {}
for (i, n) in enumerate(nums):
m = target - n
if haskey(seen, m):
return (seen[m], i)
else:
seen[n] = i
```

Note that some of Julia’s built-in functions need to be polyfilled, e.g., `haskey()`

in the above example.

The package is kinda opinionated since there are many cases where a perfect equivalence cannot be found. I am happy to hear from the community more advice on where to improve.