meshio++

I/O for mesh files.

C++ PyPi Version npm Version PyPI pyversions DOI

GitHub stars PyPi downloads

gh-actions codecov Code style: black

There are various mesh formats available for representing unstructured meshes. meshio++ can read and write all of the following and smoothly converts between them:

Abaqus (.inp), ANSYS msh (.msh), Ansys/APDL coded database (.cdb, .inp), AVS-UCD (.avs), CGNS (.cgns), DOLFIN XML (.xml), COMSOL (.mphtxt), Exodus (.e, .exo), EnSight Gold (geometry, .case/.geo), FLAC3D (.f3grid), FLUX (mesh .pf3, field .dex), FreeFem++ (.msh), H5M (.h5m), HMF (.hmf, experimental, meshio++-specific), I-deas Universal / UNV (.unv), ANSYS Fluent interpolation (.ip), Kratos/MDPA (.mdpa), Medit (.mesh, .meshb), MED/Salome (.med), Modulef (mesh .mfm, field .mff), Nastran (bulk data, .bdf, .fem, .nas), Netgen (.vol, .vol.gz), Neuroglancer precomputed format, Gmsh (format versions 2.2, 4.0, and 4.1, .msh), OBJ (.obj), OFF (.off), OpenFOAM polyMesh (.foam, read-only), PERMAS (.post, .post.gz, .dato, .dato.gz), PLY (.ply), STL (.stl), Tecplot .dat, TetGen .node/.ele, Triangle .node/.ele/.poly, SVG (output only; 2D direct, 3D via skin projection) (.svg), TikZ (LaTeX output only; 2D direct, 3D via skin projection) (.tikz), SU2 (.su2), UGRID (.ugrid), VTK (.vtk), VTP (.vtp), VTU (.vtu), WKT (TIN) (.wkt), XDMF (.xdmf, .xmf).

meshio++ ships a C++20 core (built with pybind11 + scikit-build-core) that reads and writes most formats with zero-copy numpy at the I/O boundary, plus optional HDF5/netCDF acceleration and a selectable parallel backend (AUTO by default — prefers OpenMP, then STL+TBB, then sequential; override with -DMESHIOPLUSPLUS_PARALLEL_BACKEND=...). Every format has a pure-Python fallback, so behaviour and file compatibility are identical whether or not the native libraries are present. For a standalone C++ build use build/configure.sh (Linux/macOS) or build/configure.bat (Windows). Full docs (install, data model, per-format options, CLI) live at the documentation site (sources under doc/).

Install with

pip install meshioplusplus[all]

([all] pulls in all optional dependencies. By default, meshio++ only uses numpy.) You can then use the command-line tool

meshioplusplus convert    input.msh output.vtk   # convert between two formats

meshioplusplus info       input.xdmf             # show some info about the mesh

meshioplusplus compress   input.vtu              # compress the mesh file
meshioplusplus decompress input.vtu              # decompress the mesh file

meshioplusplus binary     input.msh              # convert to binary format
meshioplusplus ascii      input.msh              # convert to ASCII format

meshioplusplus merge      a.vtu b.vtu out.vtu    # merge meshes (optional --weld)

meshioplusplus transform  in.vtu out.vtu --translate 1,2,3   # affine transform
meshioplusplus clean      in.vtu out.vtu --weld              # weld / prune / de-dup
meshioplusplus crop       in.vtu out.vtu --bbox 0,0,0,1,1,1  # subset by region
meshioplusplus split      in.vtu 'out_{key}.vtu' --by type   # partition
meshioplusplus stats      mesh.vtu                           # geometric statistics
meshioplusplus convert-cells in.msh out.vtu --mode simplexify  # hexes -> tetra

meshioplusplus data info  mesh.vtu                           # summarize data arrays
meshioplusplus data calc  in.vtu out.vtu --point "s = norm(v)"   # derive a field
meshioplusplus data to-cell  in.vtu out.vtu --keys T         # point -> cell average
meshioplusplus data normalize in.vtu out.vtu --cell damage --to 0,1

with any of the supported formats.

The same verbs are available as a standalone C++ binary that needs no Python: grab a ready-to-run, statically-linked build for Linux/macOS/Windows from the GitHub Releases page, or build it yourself with build/configure.sh --cli --build (or -DMESHIOPLUSPLUS_BUILD_CLI=ON). It links only the C++ core, so point/cell sets (and convert -s/-d) — which live only in the Python Mesh — are unavailable there; use the Python CLI for those.

In Python, simply do

import meshioplusplus

mesh = meshioplusplus.read(
    filename,  # string, os.PathLike, or a buffer/open file
    # file_format="stl",  # optional if filename is a path; inferred from extension
    # see meshioplusplus convert --help for all possible formats
)
# mesh.points, mesh.cells, mesh.cells_dict, ...

# mesh.vtk.read() is also possible

to read a mesh. To write, do

import meshioplusplus

# two triangles and one quad
points = [
    [0.0, 0.0],
    [1.0, 0.0],
    [0.0, 1.0],
    [1.0, 1.0],
    [2.0, 0.0],
    [2.0, 1.0],
]
cells = [
    ("triangle", [[0, 1, 2], [1, 3, 2]]),
    ("quad", [[1, 4, 5, 3]]),
]

mesh = meshioplusplus.Mesh(
    points,
    cells,
    # Optionally provide extra data on points, cells, etc.
    point_data={"T": [0.3, -1.2, 0.5, 0.7, 0.0, -3.0]},
    # Each item in cell data must match the cells array
    cell_data={"a": [[0.1, 0.2], [0.4]]},
)
mesh.write(
    "foo.vtk",  # str, os.PathLike, or buffer/open file
    # file_format="vtk",  # optional if first argument is a path; inferred from extension
)

# Alternative with the same options
meshioplusplus.write_points_cells("foo.vtk", points, cells)

For both input and output, you can optionally specify the exact file_format (in case you would like to enforce ASCII over binary VTK, for example).

Skin extraction

meshioplusplus.extract_skin derives the boundary surface of a 3D volume mesh (the Kratos SkinDetectionProcess face-hashing algorithm — faces occurring exactly once are boundary; points are compacted, point_data follows):

vol = meshioplusplus.read("part.msh")     # tetra/hexa/wedge/pyramid mesh
skin = meshioplusplus.extract_skin(vol)   # triangle/quad/... surface mesh

The STL and PLY writers do this automatically for volume meshes (pass skin=False for the legacy drop-volume-cells behavior), and the SVG/TikZ writers render 3D meshes by projecting the skin through an orthographic camera (azimuth/elevation/roll in degrees, default the classic CAD isometric view) with painter's-algorithm depth ordering — that is exactly how the Stanford-bunny logo above is drawn.

Surface extraction

meshioplusplus.extract_surface is the general form of skin extraction: it picks the dimension automatically (a volume mesh → boundary faces, a 2D surface mesh → boundary edges) and can record each facet's parent cell id (record_parent_ids=True). See the surface extraction docs (doc/extract_surface.md).

surf = meshioplusplus.extract_surface(vol)                  # faces (or edges for a 2D mesh)
edges = meshioplusplus.extract_surface(sheet, record_parent_ids=True)

Mesh quality

meshioplusplus.compute_quality scores every cell on a set of geometric quality metrics (area/volume, scaled Jacobian, aspect ratio, skewness, interior/dihedral angles, warpage) and flags inverted/degenerate cells; attach_quality writes them back as cell_data. See doc/mesh_quality.md.

report = meshioplusplus.compute_quality(mesh)
print(report["num_inverted"], "inverted cells")
annotated = meshioplusplus.attach_quality(mesh)   # metrics as cell_data

Reordering / renumbering

meshioplusplus.reorder renumbers nodes and elements to reduce sparse-matrix bandwidth (Reverse Cuthill–McKee) or improve cache locality (Morton / Hilbert space-filling curves). It is a pure permutation — geometry and all data preserved — and returns the applied node/cell permutations so external arrays can be remapped. compute_bandwidth measures the before/after connectivity bandwidth. See doc/reorder.md.

out = meshioplusplus.reorder(mesh, method="rcm")            # "morton" / "hilbert" too
out, node_perm, cell_perms = meshioplusplus.reorder(mesh, return_permutation=True)
print(meshioplusplus.compute_bandwidth(mesh), "->", meshioplusplus.compute_bandwidth(out))

Comparison (diff)

meshioplusplus.diff compares two meshes and reports whether they are equivalent within a tolerance (abs_err <= atol + rtol*|expected|), with a structured breakdown (points, cells, data, named sets) and an overall verdict (identical / equal within tolerance / different); meshes_equal is the boolean wrapper for test suites. An optional unordered=True mode matches nodes by spatial proximity, so a shuffled node order still compares equal. See doc/diff.md.

assert meshioplusplus.meshes_equal(a, b, atol=1e-8)         # ideal in a regression test
report = meshioplusplus.diff(a, b, unordered=True)          # tolerant to shuffled node order
print(report["verdict"])

The meshioplusplus diff a.vtu b.vtu CLI verb sets a nonzero exit code when meshes differ, for direct use in CI / Makefiles.

Merge / combine

meshioplusplus.merge combines two or more meshes into one: it concatenates points (offsetting connectivity so indices stay valid), merges cell blocks by type, concatenates data (per a configurable data_policy), and tags each cell's origin. With weld=True it fuses coincident nodes across inputs within atol using a spatial hash (never O(N²)) — the standard way to stitch adjacent blocks into a watertight mesh. Overlapping set / field-data names are namespaced by source id. See doc/merge.md.

combined = meshioplusplus.merge([a, b, c])                 # concatenate
welded = meshioplusplus.merge([left, right], weld=True, atol=1e-8)  # fuse the shared interface

Editing (transform / clean / crop / split) and statistics

A bundle of dependency-free mesh-editing utilities:

  • meshioplusplus.transform — apply an affine transform (translate / scale / rotate / 4×4 matrix / unit-scale) to the points; connectivity and data are carried through. See doc/transform.md.
  • meshioplusplus.clean — weld coincident points (spatial hash), drop degenerate and duplicate cells, and remove orphaned points, in one toggleable pass. See doc/clean.md.
  • meshioplusplus.crop — extract the part of a mesh inside a bounding box or half-space, pruning unused points (mode="all"/"any"). See doc/crop.md.
  • meshioplusplus.split — partition a mesh into several by cell type, connected component (flood-fill), or region (cell_sets / integer tag). See doc/split.md.
  • meshioplusplus.compute_stats — geometric statistics (bounding box, centroid, per-type counts, area, signed/unsigned volume, inverted cells) — the geometric complement to info. See doc/stats.md.
out = meshioplusplus.transform(mesh, rotate=("z", 90))
out = meshioplusplus.clean(mesh, weld=True, atol=1e-8)
sub = meshioplusplus.crop(mesh, bbox=[0, 0, 0, 1, 1, 1])
pieces = meshioplusplus.split(mesh, by="type")             # {"triangle": ..., ...}
s = meshioplusplus.compute_stats(mesh)                     # dict of measures

Cell conversion (linearize / simplexify / elevate)

meshioplusplus.convert_cells converts a mesh's element representation — which cell types it is built from — while leaving the object it describes intact. See doc/convert_cells.md.

  • mode="linearize" — every higher-order cell becomes its linear base (tetra10 → tetra, hexahedron27 → hexahedron), keeping the corner connectivity verbatim and pruning the nodes that become unreferenced.
  • mode="simplexify" — every cell is decomposed into simplices of the same topological dimension (quad → 2 triangle, hexahedron → 6 tetra, wedge → 3, pyramid → 2, an n-gon into an (n−2)-triangle fan). No points are added, each parent's cell_data is replicated to its children, and every emitted simplex is positively oriented with volume conserved.
  • mode="elevate" — every linear cell is promoted to its serendipity quadratic counterpart (triangle → triangle6, hexahedron → hexahedron20), adding one node per unique edge at the edge midpoint with point_data set to the endpoint mean.
linear = meshioplusplus.convert_cells(mesh, mode="linearize")
tets = meshioplusplus.convert_cells(mesh, mode="simplexify")   # hexes -> tetra
quadratic = meshioplusplus.convert_cells(mesh, mode="elevate")

Each mode is idempotent on cells it does not apply to, so it is safe on a mixed-order mesh, and output is byte-identical across mesh backends and thread counts.

These operations are exposed across every binding surface (Python, C API, Fortran, WASM) and as the CLI verbs meshioplusplus quality, meshioplusplus extract-surface, meshioplusplus reorder, meshioplusplus diff, meshioplusplus merge, meshioplusplus transform, meshioplusplus clean, meshioplusplus crop, meshioplusplus split, meshioplusplus stats, and meshioplusplus convert-cells.

Data operations (rename / average / calc / condition / summarize)

A second bundle operates on the data arrays a mesh carries (point_data / cell_data / field_data) rather than on its geometry, which none of them ever modifies:

  • meshioplusplus.data_rename / data_drop / data_keep — rewrite which arrays a mesh carries and under what names; values, dtypes and shapes are copied verbatim. See doc/data_manage.md.
  • meshioplusplus.point_data_to_cell_data / cell_data_to_point_data — move data between locations by averaging, optionally weighted by cell area/volume. See doc/data_average.md.
  • meshioplusplus.data_calc — derive a new array from an elementwise expression (+ - * /, parentheses, abs/sqrt/min/max/norm) evaluated by a hand-written parser — no external parser library, no arbitrary-code path. See doc/data_calc.md.
  • meshioplusplus.data_condition — clamp, normalize to a target range, or standardize to zero mean / unit standard deviation, per component or by row magnitude. See doc/data_condition.md.
  • meshioplusplus.data_info — a read-only per-array summary (dtype, shape, components, min/max/mean, NaN/inf counts) — the data-side complement to info and compute_stats. See doc/data_info.md.
out = meshioplusplus.data_calc(mesh, "norm(velocity)", location="point", output="speed")
out = meshioplusplus.point_data_to_cell_data(out, keys=["speed"], suffix="_c")
out = meshioplusplus.data_condition(out, "cell", ["speed_c"], mode="normalize")
out = meshioplusplus.data_rename(out, "point", "T", "temperature")
arrays = meshioplusplus.data_info(out)                     # list of per-array dicts

These are likewise exposed across every binding surface, and as the nine CLI verbs under the meshioplusplus data group (info, rename, drop, keep, to-cell, to-point, calc, clamp, normalize). See doc/data_operations.md.

Time series

The XDMF format supports time series with a shared mesh. You can write times series data using meshio++ with

with meshioplusplus.xdmf.TimeSeriesWriter(filename) as writer:
    writer.write_points_cells(points, cells)
    for t in [0.0, 0.1, 0.21]:
        writer.write_data(t, point_data={"phi": data})

and read it with

with meshioplusplus.xdmf.TimeSeriesReader(filename) as reader:
    points, cells = reader.read_points_cells()
    for k in range(reader.num_steps):
        t, point_data, cell_data = reader.read_data(k)

ParaView plugin

gmsh paraview *A Gmsh file opened with ParaView.*

If you have downloaded a binary version of ParaView, you may proceed as follows.

  • Install meshio++ for the Python major version that ParaView uses (check pvpython --version)
  • Open ParaView
  • Find the file paraview-meshioplusplus-plugin.py of your meshio++ installation (on Linux: ~/.local/share/paraview-5.9/plugins/) and load it under Tools / Manage Plugins / Load New
  • Optional: Activate Auto Load

You can now open all meshio++-supported files in ParaView.

Benchmarks

How much does the C++ core help? The benchmark/ folder times read/write conversions against the original pure-Python meshio on the formats both support (same in-memory mesh, same machine). The headline input is the bundled example.msh — a real Gmsh bracket (~52k nodes, ~293k cells).

meshio vs meshio++ speedup on example.msh

meshio++'s biggest wins are the parallel and text paths: VTU binary+zlib ~16× write (the zlib blocks run across cores via an OpenMP backend with dynamic scheduling — hybrid P+E-core CPUs load-balance too), VTU ASCII ~7× write / ~5× read, and mixed-topology XDMF read ~10×. The binary and HDF5 formats that used to be slower — VTK/Gmsh binary, UGRID, and MED — are now at or above parity after an optimisation pass (bulk-buffered binary I/O, single-instruction bswap endianness conversion, a real parallel backend, an Eigen-backed MED transpose, zero-copy cell reconstruction that moves the connectivity buffer straight into the mesh, and uninitialised reader buffers + thread-parallel block copies so nothing is written twice); binary reads now match or beat numpy's fromfile — Gmsh ~1.7×, single-type VTK ~1.45×, and even mixed-topology VTK ~1.1×. Output stays byte-identical throughout.

The speedup is per-element: text/parallel formats climb out of the small-mesh regime and plateau (large meshes realise the full speedup):

speedup vs mesh size

Full methodology and a reproducible notebook are on the Benchmarks doc page (source: benchmark/01_benchmark.ipynb).

Reading only what you need

import meshioplusplus

mesh = meshioplusplus.read("big.vtu", points_only=True)   # geometry, no data arrays
mesh = meshioplusplus.read("big.vtu", arrays=["u", "p"])  # only these arrays
meta = meshioplusplus.read_metadata("big.vtu")            # counts/names, no heavy arrays

VTU, VTP, XDMF and Gmsh skip the unwanted array bodies outright; other formats are read in full and filtered, and meta["fell_back_to_full_read"] says which happened. Large files can also be memory-mapped (automatic above 16 MiB), which roughly halves peak memory during a read. See selective reads and memory-mapped reading.

VTK XML output can additionally use lz4 (ParaView-readable) or zstd (a meshio++ extension) instead of zlib, when built with -DMESHIOPLUSPLUS_WITH_LZ4=ON / -DMESHIOPLUSPLUS_WITH_ZSTD=ON. zlib remains the default. See compression codecs.

Installation

meshio++ is available from the Python Package Index, so simply run

pip install meshioplusplus

to install.

Additional dependencies (netcdf4, h5py) are required for some of the output formats and can be pulled in by

pip install meshioplusplus[all]

For JavaScript / browser use, the C++ core also ships as a WebAssembly npm package covering 29 of the formats above:

npm install @meshioplusplus/wasm

See the WebAssembly / JavaScript doc page for usage and the format-support table.

C / Fortran API

For HPC codes written in C or Fortran, the C++ core also builds as an installable shared library (libmeshioplusplus, pure-C99 header, pkg-config + find_package support) with a modern OO Fortran 2008 module on top:

./build/configure.sh --fortran --tests --build     # --c-api for the C API alone
cmake --install build/cpp-release --prefix /opt/meshioplusplus

mio_mesh* m = mio_read("in.msh", NULL);
printf("%lld points\n", (long long)mio_mesh_num_points(m));
mio_write("out.vtu", m, NULL);
mio_mesh_free(m);

use meshioplusplus
type(mio_mesh) :: m
call m%read("in.msh")
call m%write("out.vtu")
call m%free()

The C API is also packaged for Conan (root conanfile.py) and vcpkg (overlay port under ports/meshioplusplus/), both driving the same install/find_package path:

conan create . -o meshioplusplus/*:with_hdf5=True
vcpkg install meshioplusplus --overlay-ports=ports

Full mesh access (build meshes from raw arrays, zero-copy readback) is covered on the C API and Fortran doc pages.

Single-header C++

The whole C++ core is also amalgamated into one self-contained, STB-style header — single_include/meshioplusplus/meshioplusplus.hpp — with pugixml bundled and no external dependencies by default. Drop it in, no CMake or linking required:

// in exactly ONE .cpp:
#define MESHIOPLUSPLUS_IMPLEMENTATION
#include "meshioplusplus/meshioplusplus.hpp"
// elsewhere: just #include it (declarations only)

g++ -std=c++20 -I single_include main.cpp

It is generated by ./tools/amalgamate.sh and kept in sync by CI. See the single-header doc page (optional HDF5/netCDF/zlib formats via MESHIOPLUSPLUS_HAS_* macros).

C++ mesh backends

Standalone C++ builds (no Python) can swap the in-memory mesh structure at compile time via MESHIOPLUSPLUS_MESH_BACKEND — every format works identically under each backend:

  • MESHIO (default; the Python extension and PyPI wheels always use it) — mirrors the Python meshio.Mesh;
  • NATIVE — the fastest pure-C++ structure (canonical Float64/Int64 storage, cell-type enum, CSR ragged blocks); the WebAssembly build uses it;
  • KRATOS — a Kratos Multiphysics-style ModelPart (Nodes/Elements/Conditions/SubModelParts) plus a header-only templated bridge that populates a real Kratos::ModelPart with no Kratos build dependency.
./build/configure.sh --mesh-backend NATIVE --tests --build

See the C++ mesh backends doc page.

Testing

To run the meshio++ unit tests, check out this repository, install it with the test extras, and type

pytest tests/

License

meshio++ is published under the MIT license.

Project links

Data verified by PyPI on Jul 20, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (10.17.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for loumalouomega from gravatar.com loumalouomega

Credits

Author: Vicente Mataix Ferrándiz

GitHub Statistics

Data verified by PyPI on Jul 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (The MIT License (MIT))

Requires

Python >=3.8

Provides Extra

codecs all

Tags

mesh file formats scientific engineering fem finite elements

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

meshioplusplus-7.4.0.tar.gz (7.3 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

meshioplusplus-7.4.0-cp312-cp312-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.12Windows x86-64

meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ ARM64

meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12macOS 13.0+ x86-64

meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

meshioplusplus-7.4.0-cp311-cp311-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.11Windows x86-64

meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64

meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ ARM64

meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11macOS 13.0+ x86-64

meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

meshioplusplus-7.4.0-cp310-cp310-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.10Windows x86-64

meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64

meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ ARM64

meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10macOS 13.0+ x86-64

meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

meshioplusplus-7.4.0-cp39-cp39-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.9Windows x86-64

meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.34+ x86-64

meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.34+ ARM64

meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9macOS 13.0+ x86-64

meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.9macOS 13.0+ ARM64

File details

Details for the file meshioplusplus-7.4.0.tar.gz.

File metadata

  • Download URL: meshioplusplus-7.4.0.tar.gz
  • Upload date:
  • Size: 7.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for meshioplusplus-7.4.0.tar.gz
Algorithm Hash digest
SHA256 9b240937b312429a6c604e4d86d673e567d12a6604389ef2ef63eb26e392edec
MD5 5eabfc5805dd9d575dfb297f90227d44
BLAKE2b-256 650801fddc106350155715be47df64e54546556580eeb2d2181716ca017913df

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0.tar.gz:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 33c927e8159bf35fa55b464c246d8bf1819a18cd8d3587c747c2e6b73a758286
MD5 acb9a29d626bb87d9f65dbbab393e1da
BLAKE2b-256 a42f9118562bcf07c7ef7f92cb87de27e067f20e88baeab3df0a466bfb0d7b49

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp312-cp312-win_amd64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 9010f47d5b92ad427a721dbe08cc948bec193b325425dfcf641d79c29a3d733c
MD5 91bc630fe876624dc9d8b9fde5c587d3
BLAKE2b-256 fee8190634147aacb6dbcc7850c7e75fdc98b91fbcf3f18fa3d489bc25850cbe

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 ee34cb555bc7bac50ea6bb87bbe9b4ab7f6a8ac68d79439f67d1b788300ac5a6
MD5 7d596a4d8d85d108098e6dfe6cc3fdbc
BLAKE2b-256 b5261611466ba9f7bb07b9331eec68887bb70ca9353532c4d078fef88b4647c2

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp312-cp312-manylinux_2_34_aarch64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 ac4e36581e9b9b680bfc148dc9396de7959812e3a8201ebfd2c83c6173c79ba6
MD5 35930d8a87822f272e3f5d4e637f4f37
BLAKE2b-256 06ead2f788ffb7575f22d9a1ce997cc9576945c5576652d1e34d0e58bf1dbaca

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 8a5d95f189ec3eeaa53ee89b6cc96321fd7466bf41d65eb8843463c7dd90a018
MD5 736d20e0b9cb7076fb3d8ee23dd45d68
BLAKE2b-256 427ecc07cd89e8c4defdb7b8592819571cadc918e076f204c36d309b3125cb71

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp312-cp312-macosx_13_0_arm64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 06776e83bb5eeef37cefa0db7d32ff2227ee8ce9dff4d5bf7c406094ae32fc49
MD5 703c9c7f20bf7176f881efdf1a58ff59
BLAKE2b-256 2f665ff22fec37141c26243c9fbf5d7882881d1c382a3de22d379c4e9ba07d20

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp311-cp311-win_amd64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 15531a4413f7aba6be20be85196be38e0e107f1303215491eaab09b9924d7ed4
MD5 acb52f24d756a6c58bd24e05d918a7db
BLAKE2b-256 31837265c2419c683a8d0ec0e31d2bf9e991cc216f09dd0a482a59e36790ba29

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 1bb3e64193949b596ef83966b0f9141d95180f4a4659d88e6bffeff0c8303f73
MD5 61a8b62b78d80754a494827590148cf4
BLAKE2b-256 7a687caf843e2cf008b3f770de5c30f84c7afea92860ecd45d96bad2a18bc49c

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp311-cp311-manylinux_2_34_aarch64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 cb08bdc7e313223836df5f0146764d4285f410c154d0fc7127801adc72cb6fbf
MD5 d608335daa596aa10fb0c9ec5bfa6913
BLAKE2b-256 de03d3887916baa6f3fdccd6b8c8651b3bb686150c75106878a8a213ad7da1b3

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 fb1222bb95329dae04896071708f5e8f8adf91e26a64cacafbf422d32fddd316
MD5 ab271629d57d5681aaeb5c24ac2acee6
BLAKE2b-256 117ee258e55da71e22ffdce7e961293102e47be8dac0b666bae5f36b9426a376

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp311-cp311-macosx_13_0_arm64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 39b737ee43f8da885864199fa57e394bda075db83ced3566aa6364c9013237ba
MD5 1d1e007d03f6b93649a8c744edeeecf5
BLAKE2b-256 f5baa564c9d787c748c38f7fd8690cf72c953433f47f864e40168684c3c05a69

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp310-cp310-win_amd64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 d5e99742985c924f79465dea5557b9605a2a0a30a571931d03bfce6fe2069321
MD5 6e62f5a89eba2d99651bc1669c35e87e
BLAKE2b-256 6912801e615a64eb168383eedcf1c7dff12ae30365affc2e5ef829536d4d10e4

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 dac9bd66b819a4bdd3bb444dc326e3adb71e8554aa364148452d7de8137cefca
MD5 56afabfd7ed3f6cbfd9f668861133d60
BLAKE2b-256 8fef5ffef5d2d52a27a6548f6f8dafd3599013dab5a4ec779a80687f3637f8b1

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp310-cp310-manylinux_2_34_aarch64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 2984e604c3c2c10b93b31b34bbf53408a2ad4bdede803ab724efa6ebf5ea4cd6
MD5 cbc141e736e6f622f4f751ff453c6d06
BLAKE2b-256 87695aadd9601b90e46bfe31b126c984542e7f91ecb8c4c2ab8da5adbcc7257e

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 4f3d65352c30b8287cb5a9bf6284b9f1b969c0f32f81f3fa451f6bb0f8da74af
MD5 2a02c3a44f9aa2af1da49e59f81501d1
BLAKE2b-256 ba7f040aba470875af6cf3a6aa1e5a7c13942f15a3d8aedc36ab7b3dccd59483

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp310-cp310-macosx_13_0_arm64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 694f3245385eceb222018db319309874a64aceed5133640716d6fdb78360f624
MD5 e8ebb1793ce8cb8c0a2d195dfbfe9f61
BLAKE2b-256 154113c61119ec6269a91789af496d388c0bdb35d543a8749111abb1005d6306

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp39-cp39-win_amd64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 e9d38dc50df63fdfb1d42807856c4117501bcd7918396562b031e4c14bbfb287
MD5 a8814c154a774c66c904e875d257f3a5
BLAKE2b-256 e6a8cdda307274e55bf733bbf2b2b4a93909a7ef930ac9abb79de8a932b56098

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 8eae40154743f120b7d367fe6b9750167a707a40fb9ae27e88ba18df6f55938a
MD5 7fe63180fbe87c1e56fb849d1547c2f7
BLAKE2b-256 5ff718e6e63947eab59c6359afe632049a75dc97791b3e7273e64cf264b57d8c

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp39-cp39-manylinux_2_34_aarch64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 2a0657cc43563e511d02afcc9f03f54f3e16d5864af70a0fc03bdcfc62a66370
MD5 1302c04779a9541505b7177f3c46390d
BLAKE2b-256 cdaa416d536a276dcfe0056052de70dc301a330bd65d9ba2ef11ac554d8f0f26

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_x86_64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 0703a29aab679942e531465a5d94c52cf297f4d08da42c1eafe33a979020123d
MD5 7dbb1289a5a2782e93d601dbe79611f4
BLAKE2b-256 403fedeb887879a1ead31245551d7af4959b9f3633ea20c9b7e15131c446a0f2

See more details on using hashes here.

Provenance

The following attestation bundles were made for meshioplusplus-7.4.0-cp39-cp39-macosx_13_0_arm64.whl:

Publisher: wheels.yml on loumalouomega/meshioplusplus

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

10.17.0

21 files

10.14.0

21 files

10.9.0

21 files

10.6.0

21 files

10.0.0

21 files

9.27.0

21 files

9.25.0

21 files

9.22.0

21 files

9.14.0

21 files

9.12.0

21 files

9.11.0

21 files

9.10.0

21 files

9.9.0

21 files

9.8.0

21 files

9.7.0

21 files

9.6.0

21 files

9.4.1

21 files

9.4.0

21 files

9.3.0

21 files

9.2.0

21 files

9.1.0

21 files

9.0.0

21 files

8.7.0

21 files

8.5.0

21 files

8.4.0

21 files

8.3.0

21 files

8.0.0

21 files

7.16.0

21 files

7.15.0

21 files

7.14.0

21 files

7.13.0

21 files

7.12.0

21 files

7.10.0

21 files

7.7.0

21 files

7.6.0

21 files

7.5.0

21 files

This release

7.4.0 This release

21 files

7.3.0

21 files

7.2.1

21 files

7.2.0

21 files

7.1.0

21 files

7.0.0

21 files

6.9.0

17 files

6.8.0

17 files

6.7.0

17 files

6.6.3

17 files

6.6.1

17 files

6.6.0

17 files

6.5.0

17 files

6.4.0

17 files

6.3.2

17 files

6.3.1

17 files

6.3.0

17 files

6.2.0

17 files

6.1.0

17 files

6.0.5

17 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page