A set of tools for characterizing and analyzing 3D images of porous materials
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Momentum
+11
STARS · LAST 30 DAYS
1
PER DAY
#821
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +11 | +90 |
| Per day | 1 | 1 | 1 |
| 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
2
DAYS ON TRENDING
#6361
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install porespy using your package manager: `pip install porespy`
Initialize your project workspace or configuration file for porespy.
Import porespy into your codebase or invoke it directly from your terminal.
Execute your test suite or run `porespy --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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.