Numba
No written verdict yet. Here is what commenters said.
5recommend
1warn against
Nov 22, 2025first mention
Oct 28, 2026latest mention
Why people recommend it
“I agree Numba is great.”
“Numba is a little magic because you get to write stuff that feels like numpy, but get literal bytecode perf.”
Show 3 more
“you can use projects like numba”
Caveats and dissent
No one in these comments warned against it.
Often compared with
Who recommends it in their own words
Threads where it came up
- Julia: Performance Tips 3 mentions
- Python's experimental JIT to be removed 1 mention
- Working to Make Python Lazy 1 mention
- Ask HN: Who wants to be hired? (September 2026) 1 mention
- Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite 1 mention
- Mojo 1.0 Is Here 1 mention
Also written as numba. Data: numba.json. Quotes are verbatim; the verdict and theme labels are written by a model from these comments, and every clause links to its sources.
All comments 14
“I agree Numba is great.”
“numba._version only imports standard library stuff”
“Releases the GIL via Numba (nogil=True)”
“Numba is a little magic because you get to write stuff that feels like numpy, but get literal bytecode perf.”
“numba (https://numba.pydata.org/)”
“you can use projects like numba”
I love when dialects for C and C++ count as being proper C and C++, are even argued as being more relevant than ISO standards by themselves, but anyone else that does the same, it is no longer the same language. As for Python not being the ideal, there we agree, but the solutions with proper performance already exist, Lisp, Scheme, Julia, Futhark,... Heck maybe someone could dig out StarLisp.
“so far Numba has shown surprising performance benefits when executing code in parallel”
I found this paper (https://www.cs.uni-potsdam.de/bs/research/docs/papers/2025/lssp.pdf) from around 2025 (it cites papers from 2025) which shows that the Julia version of SRAD (along with some other benchmarks) is about 5 times slower than the slowest FORTRAN implementation and consumes at least 5 times more energy, see Table 4 and Figure 1. This paper, however, doesn't seem to be peer-reviewed.
“people were reporting better speeds with Julia than with Numba”
“I used numpy and numba”
“I used Python and Numba for the backend to handle the statistical heavy lifting.”
“but for that you have Numba.”
“Just open-sourced a ~320-line Numba heuristic”