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PMEAL
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PMEAL/porespy

A set of tools for characterizing and analyzing 3D images of porous materials

Python ◇ 3d-images MIT
★422STARS
⑂116FORKS
!19ISSUES
🏆#6,554GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#821

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

porespy gained 11 stars in the last 30 days, about 1 a day, and now has 422. It is about 11 years old and has averaged roughly 38 stars a year. It ranks #821 among Python repositories and #6,554 across all languages on GitHubRepo.

Trending Record

porespy has maintained a continuous presence across global trending indexes, peaking at #6361. Below is the 30-day activity profile:

💡 Overview

porespy is an open-source project written in Python: A set of tools for characterizing and analyzing 3D images of porous materials.

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d-images, image-analysis, porespy. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install porespy

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

porespy coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed porespy into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install porespy using your package manager: `pip install porespy`

2

Initialize your project workspace or configuration file for porespy.

3

Import porespy into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `porespy --help` to verify successful setup.

👍 Strengths

Active community backing with 422 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

PMEAL/porespy is currently ranked #6,554 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,544 mattbrictson/tomo Ruby ★ 423 Compare ↗
#6,544 CloudI/CloudI Erlang ★ 423 Compare ↗
#6,544 Snd-R/Komelia Kotlin ★ 423 Compare ↗
#6,544 IlyaP358/fluxcast Python ★ 423 Compare ↗
#6,544 timoncool/YuE2-Studio TypeScript ★ 423 Compare ↗
#6,554 PMEAL/porespy This Project Python ★ 422
#6,554 nvbangg/awesome-morphe TypeScript ★ 422 Compare ↗
#6,554 dekart-xyz/dekart JavaScript ★ 422 Compare ↗
#6,554 sideeffect-io/AsyncExtensions Swift ★ 422 Compare ↗
#6,554 relaticle/flowforge PHP ★ 422 Compare ↗
#6,554 gen2brain/iup-go Go ★ 422 Compare ↗

Frequently Asked Questions

What does porespy do? +

A set of tools for characterizing and analyzing 3D images of porous materials

What language is porespy written in? +

The primary language is Python. Topics include: 3d-images, image-analysis, porespy, porous-materials, porous-media.

Is porespy actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 19 open issues being tracked.

How many stars does porespy have? +

porespy has 422 stars and 116 forks on GitHub.

How does porespy rank among GitHub repositories? +

With 422 stars, PMEAL/porespy is ranked #6,554 globally across all repositories tracked on GitHubRepo and #821 among Python projects.

What license is porespy distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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