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pyvista/pyvista v0.49.1 — a Python library for 3D visualization and mesh analysis

pyvista/pyvista is a Python library for 3D visualization and mesh analysis offering a NumPy-based API, and the latest public release is v0.49.1, but its changelog is not in this record.

Repositorypyvista/pyvista ↗

pyvista/pyvista is a Python library for 3D visualization and mesh analysis offering a NumPy-based API, and the latest public release is v0.49.1, but its changelog is not in this record.

GitHub description: 3D visualization and mesh analysis for science and engineering

stars
★ 3.9K
Forks
671
Language
Python
License
MIT
Latest release
v0.49.1
Read original source ↗View on GitHub ↗

pyvista/pyvista is a Python library for 3D visualization and mesh analysis of scientific and engineering data. It provides point, surface, and volume datasets plus filters through a NumPy-based API, and the latest public release is v0.49.1. This record contains no changelog for that release, so which features were newly added cannot be confirmed.

The README states that the library supports an integrated plotting framework usable anywhere — notebooks, scripts, CI, or apps. It explains that the CLI lets you quickly visualize meshes, convert file formats, and validate meshes without writing Python code. In other words, you can draw meshes and try out format conversion in places where you are not writing Python. The implementation language is Python and the license is MIT. The repository was created on May 31, 2017 and has 3856 GitHub stars.

This record has no performance figures or comparative benchmarks. The score data has only one entry filled in — Momentum 0.0 — while freshness, technology, and quality are empty. The MIT license and the star count reveal only the usage conditions and scale, not how mature it is in actual use in the scientific and engineering 3D visualization space. So it is too early to decide on adoption based on this release. At this stage, it is more realistic to start by checking whether the API shape and CLI features fit your own data.