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Draft: Experiment with using nanobind - #32411
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iccir wants to merge 22 commits into
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ianthomas23
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Oct 1, 2026
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lib/matplotlib/tri/_triangulation.py
| # No triangulation specified, so use matplotlib._qhull to obtain | ||
| # Delaunay triangulation. | ||
| self.triangles, self._neighbors = _qhull.delaunay(x, y, sys.flags.verbose) | ||
| self.triangles, self._neighbors = _qhull.delaunay(self.x, self.y, |
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This is a good catch. It is functionally identical but will be slightly faster in some circumstances so we should do it even if this PR is never merged.
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I pulled this out into #32417
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October 3, 2026 16:01
Accept arrays of any shape so we can do our own validation and provide better error messages. This restores most of the test_triangulation test suite to the pre-nanobind version.
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PR summary
I'm tinkering with nanobind to re-acquaint myself with C++ after a 20+ year hiatus. This is a draft pull request so I can run CI on my experiments.
Results
Binary Size Comparison
(darwin, arm64)
(Split Mode)
(Split Mode)
Results: ~1.33M saved per wheel by switching to nanobind and ~1.88M if we use Split Mode.
Note: Split Mode adds a dependency on nanobind-backend. This is an 80K-450K download depending on architecture and is shared amongst all projects in an environment that use nanobind split mode.
Compilation Time Comparison
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