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albumentations-team/AlbumentationsX

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

Python ◇ 3d AGPL-3.0
★567STARS
⑂44FORKS
!28ISSUES
🏆#8,432GLOBAL RANK
🔥18DAYS TRENDING
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Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#1,117

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+14+90
Per day111
Forks gained+0+3+10

AlbumentationsX gained 14 stars in the last 30 days, about 1 a day, and now has 567. It is about 1 year old and has averaged roughly 567 stars a year. It ranks #1,117 among Python repositories and #8,432 across all languages on GitHubRepo.

Trending Record

AlbumentationsX has maintained a continuous presence across global trending indexes, peaking at #2799. Below is the 30-day activity profile:

💡 Overview

AlbumentationsX is an open-source project written in Python: Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d, augmentation, bounding-box. 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 AlbumentationsX

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

AlbumentationsX 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 AlbumentationsX 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 AGPL-3.0 license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for AlbumentationsX.

3

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

4

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

👍 Strengths

Active community backing with 563 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 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.

⇄ Alternatives & Direct Competitors

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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

albumentations-team/AlbumentationsX is currently ranked #8,432 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,426 damianszczepanik/cucumber-reporting Java ★ 568 Compare ↗
#8,426 rust-lang/rust-forge Rust ★ 568 Compare ↗
#8,426 It4innovations/hyperqueue Rust ★ 568 Compare ↗
#8,426 mrshu/github-statuses JavaScript ★ 568 Compare ↗
#8,426 coi/coi C++ ★ 568 Compare ↗
#8,432 albumentations-team/AlbumentationsX This Project Python ★ 567
#8,432 ThreeTen/threetenbp Java ★ 567 Compare ↗
#8,432 dj-nitehawk/MongoDB.Entities C# ★ 567 Compare ↗
#8,432 ploi/roadmap PHP ★ 567 Compare ↗
#8,436 openstack/ironic Python ★ 566 Compare ↗
#8,437 stuttter/ludicrousdb PHP ★ 565 Compare ↗
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Frequently Asked Questions

What does AlbumentationsX do? +

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

What language is AlbumentationsX written in? +

The primary language is Python. Topics include: 3d, augmentation, bounding-box, computer-vision, data-augmentation.

Is AlbumentationsX actively maintained? +

Yes, the last recorded push was on Oct 10, 2026 with 28 open issues being tracked.

How many stars does AlbumentationsX have? +

AlbumentationsX has 567 stars and 44 forks on GitHub.

How does AlbumentationsX rank among GitHub repositories? +

With 567 stars, albumentations-team/AlbumentationsX is ranked #8,432 globally across all repositories tracked on GitHubRepo and #1,117 among Python projects.

What license is AlbumentationsX distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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