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numba · Issues· 1791 open

Open on GitHub

Locally synced open issues (discussions stay on GitHub)

  • #10564

    `TimingListener` may not be thread-safe

    threadingbug - incorrect behaviorfree-threadingUpdated Sep 17, 2026
  • #10368

    isinstance in jit code yields an unsafe cast warning

    bugeasyUpdated Sep 16, 2026
  • #10297

    Dependency Dashboard

    TaskUpdated Sep 16, 2026
  • #6559

    RISC-V Support

    feature_requestllvmISA: RISC-VUpdated Sep 16, 2026
  • #6264

    Caching: functions captured in closure

    feature_requestcachingUpdated Sep 15, 2026
  • #10836

    Add `kind='heapsort'` to `ndarray.sort` and `argsort`

    feature_requestperformanceperformance - run timeUpdated Sep 15, 2026
  • #10522

    Function overloads of some NumPy functions with scalar input are not exhaustive

    buggood first issueUpdated Sep 14, 2026
  • #10485

    Disk cache crashes for exec()'d functions with `__module__=None`

    good first issuebug - incorrect behaviorUpdated Sep 14, 2026
  • #10581

    Python 3.15

    feature_requestPython 3.15Updated Sep 10, 2026
  • #7179

    Support jit decorator flags in cc.export (e.g. fastmath)

    feature_requestgood first issueAOTUpdated Sep 10, 2026
  • #10821

    cache=True reuses artifacts across different NUMBA_SLP_VECTORIZE / NUMBA_OPT settings

    cachingbug - incorrect behaviorUpdated Sep 9, 2026
  • #10015

    AssertionError: Unreachable condition reached (op code RERAISE executed) with batch_size > 1

    bug - failure to compileUpdated Sep 8, 2026
  • #10563

    Test failure: `test_random_concurrent_mix_use_tbb`

    bug - segfaultUpdated Sep 8, 2026
  • #10753

    Regression (0.66.0): two-argument max/min fail on CUDA after #10543 refactored them into *args overloads

    bugCUDAUpdated Sep 8, 2026
  • #6549

    CUDA: Allow dynamic allocation of local arrays

    feature_requestCUDAgood second issueUpdated Sep 6, 2026