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pysplashsurf

Python bindings for splashsurf, a surface reconstruction library for SPH simulations.

With conditionsPyPI Scientific/EngineeringReleased Mar 202686.4K downloads / moMITPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — pysplashsurf-0.14.1.0-cp310-abi3-macosx_14_0_arm64.whl · pysplashsurf-0.14.1.0-cp310-abi3-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl · pysplashsurf-0.14.1.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
v0.14.1.0 · released 2026-03-21 · Python >=3.10 · 1 runtime deps: numpy

Yes, if you work with SPH simulations or particle-based fluid data and need surface reconstruction. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and covers common platforms with prebuilt wheels. The medium install friction is reasonable for a compiled extension. Install with caution only if you are constrained to Python versions below 3.10.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Optional meshio dependency needed for write_to_file() and .bgeo file support.
  • Medium install friction due to compiled Rust bindings, but prebuilt wheels cover common platforms (x86_64, ARM, Windows).

License · maintenance · safety

MIT (permissive) — MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.

last release 2026-03-21 (146 days) · last repo commit 2026-07-10 · 303 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 86,432 downloads/mo, #13,864 on PyPI

Verify before relying

pip install pysplashsurf
import pysplashsurf
import numpy as np
particles = np.array([[0, 0, 0], [1, 1, 1]], dtype=np.float64)
mesh, reconstruction = pysplashsurf.reconstruction_pipeline(particles, particle_radius=0.025)
  • Performance characteristics (runtime, memory) for typical particle counts and grid resolutions
  • Detailed comparison of reconstruction quality vs. other surface reconstruction libraries
  • Stability and accuracy across different SPH simulation types and parameters
Same gist for agents: .md · .json

What it is and what it does

pySplashsurf wraps the Rust-based splashsurf library to reconstruct 3D surfaces from particle data generated by SPH simulations. It takes a point cloud of particles and produces a mesh using marching cubes and related algorithms, with optional post-processing like smoothing and normal computation. The package works both as a Python library for programmatic use and as a command-line tool that mirrors the original splashsurf CLI.

The library depends only on numpy at runtime and optionally on meshio for file I/O beyond VTK format. It supports both single and double precision floats, and the prebuilt wheels cover most modern platforms. The reconstruction pipeline exposes parameters for particle radius, smoothing length, cube size, iso-surface threshold, and mesh cleanup options, making it suitable for scientific visualization and analysis of fluid dynamics simulations.

Use it for

  • Visualize fluid surfaces from SPH particle simulations by converting point clouds to renderable meshes
  • Post-process particle data from computational fluid dynamics to extract surface geometry for further analysis
  • Generate mesh representations of multiphase flow interfaces in scientific research workflows
  • Batch-process simulation output files via the CLI to produce surface meshes with consistent parameters
  • Integrate surface reconstruction into Python-based simulation pipelines for real-time or offline mesh generation

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you work with SPH simulations or particle-based fluid data and need surface reconstruction.

The package is actively maintained, has no known vulnerabilities, uses a permissive license, and covers common platforms with prebuilt wheels. The medium install friction is reasonable for a compiled extension. Install with caution only if you are constrained to Python versions below 3.10.

Install

pysplashsurf on PyPI

Before you install

Medium install friction due to compiled Rust bindings, but prebuilt wheels cover common platforms (x86_64, ARM, Windows). Active maintenance with recent commits and no known vulnerabilities. Requires Python 3.10+.

Requires Python 3.10 or later. Optional meshio dependency needed for write_to_file() and .bgeo file support.

License in practice

MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.

Quickstart

pip install pysplashsurf
import pysplashsurf
import numpy as np
particles = np.array([[0, 0, 0], [1, 1, 1]], dtype=np.float64)
mesh, reconstruction = pysplashsurf.reconstruction_pipeline(particles, particle_radius=0.025)

Verify before relying

  • Performance characteristics (runtime, memory) for typical particle counts and grid resolutions
  • Detailed comparison of reconstruction quality vs. other surface reconstruction libraries
  • Stability and accuracy across different SPH simulation types and parameters

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependencies
1 package
numpy
MaintenanceActively maintained 146 days since the last release
Last repo commit
First released
Downloads86,432 / month, #13,864 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: RustTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: PhysicsTopic :: Scientific/Engineering :: VisualizationTopic :: Utilities

Evidence: pysplashsurf-0.14.1.0-cp310-abi3-macosx_14_0_arm64.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux2014_armv7l.manylinux_2_17_armv7l.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux_2_17_i686.manylinux2014_i686.whl; pysplashsurf-0.14.1.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pysplashsurf-0.14.1.0-cp310-abi3-win32.whl; pysplashsurf-0.14.1.0-cp310-abi3-win_amd64.whl; pysplashsurf-0.14.1.0-cp310-abi3-win_arm64.whl

Tags

Capabilities
surface reconstruction SPH particlesmarching cubes mesh generationfluid simulation particle meshsplashsurf python bindingsparticle to mesh conversionscientific mesh processingphysics simulation visualization
Topics
mesh-generationsph-simulationscientific-computing
PyPI keywords
surface reconstructionmarching cubessphfluidparticlesmeshsplashsurfsplishsplash

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See also pygmsh · particle · meshio · pymeshfix · pytetwild · meshioplusplus · PyGEL3D · pyvista