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oncologylab
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oncologylab/histopia

Histology Spatial Topology for Omics Profiling and Inter-section Alignment

Python ◇ 3d-reconstruction BSD-3-Clause
★710STARS
⑂6FORKS
!0ISSUES
🏆#7,046GLOBAL RANK
🔥9DAYS TRENDING
🚀
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Momentum

+18

STARS · LAST 30 DAYS

1

PER DAY

#971

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+18+90
Per day111
Forks gained+0+3+10

histopia gained 18 stars in the last 30 days, about 1 a day, and now has 710. It is about 1 year old and has averaged roughly 710 stars a year. It ranks #971 among Python repositories and #7,046 across all languages on GitHubRepo.

Trending Record

histopia has maintained a continuous presence across global trending indexes, peaking at #6557. Below is the 30-day activity profile:

💡 Overview

histopia is an open-source project written in Python: Histology Spatial Topology for Omics Profiling and Inter-section Alignment.

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d-reconstruction, computational-pathology, histology. 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 histopia

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

histopia 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 histopia 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 BSD-3-Clause license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for histopia.

3

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

4

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

👍 Strengths

Active community backing with 710 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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

oncologylab/histopia is currently ranked #7,046 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,039 10up/classifai PHP ★ 712 Compare ↗
#7,039 aimclub/FEDOT Python ★ 712 Compare ↗
#7,043 voku/anti-xss PHP ★ 711 Compare ↗
#7,043 phpstan/phpstan-strict-rules PHP ★ 711 Compare ↗
#7,043 mahkoh/jay Rust ★ 711 Compare ↗
#7,046 oncologylab/histopia This Project Python ★ 710
#7,046 michel-kraemer/gradle-download-task Java ★ 710 Compare ↗
#7,046 xyproto/orbiton Go ★ 710 Compare ↗
#7,049 aaronchi/jrails Ruby ★ 709 Compare ↗
#7,049 nuxeo/nuxeo Java ★ 709 Compare ↗
#7,049 gmickel/flow-next Python ★ 709 Compare ↗
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Frequently Asked Questions

What does histopia do? +

Histology Spatial Topology for Omics Profiling and Inter-section Alignment

What language is histopia written in? +

The primary language is Python. Topics include: 3d-reconstruction, computational-pathology, histology, image-registration, python.

Is histopia actively maintained? +

Yes, the last recorded push was on Oct 7, 2026 with 0 open issues being tracked.

How many stars does histopia have? +

histopia has 710 stars and 6 forks on GitHub.

How does histopia rank among GitHub repositories? +

With 710 stars, oncologylab/histopia is ranked #7,046 globally across all repositories tracked on GitHubRepo and #971 among Python projects.

What license is histopia distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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