numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported29 Subscribers
View all SubscribersAdd a CodeTriage badge to numba
Help out
- Issues
- Segfault after several function calls
- [CI TEST] Test with Opaque Pointers
- Fix refcounts when yielding NRT-managed objects
- List are not correctly converted to array
- Accessing fields from numpy records inside parallel function raises error
- optional type in `if x is not None` branch is still optional
- Hangs when printing `get_thread_id` inside a cached jit function
- Expensive Calls to `ir.Inst.list_vars` During Compilation
- Memory allocations in Numba significantly slower than allocations with Numpy
- Fall back to iterative topological sort with function IRs with large numbers of basic blocks
- Docs
- Python not yet supported