huawei-bayerlab/marigold-v2
Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
Star History
Momentum
+21
STARS · LAST 30 DAYS
1
PER DAY
#357
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +21 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
marigold-v2 gained 21 stars in the last 30 days, about 1 a day, and now has 854. It is about 1 year old and has averaged roughly 854 stars a year. It ranks #357 among Python repositories and #2,853 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#274
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
marigold-v2 has maintained a continuous presence across global trending indexes, peaking at #274. Below is the 30-day activity profile:
💡 Overview
marigold-v2 is an open-source project written in Python: Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 marigold-v2⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
marigold-v2 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 marigold-v2 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 Apache-2.0 license.
🚀 Getting Started
Install marigold-v2 using your package manager: `pip install marigold-v2`
Initialize your project workspace or configuration file for marigold-v2.
Import marigold-v2 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `marigold-v2 --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
huawei-bayerlab/marigold-v2 is currently ranked #2,853 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,848 | nuskey8/Lua-CSharp | C# | ★ 856 | Compare ↗ |
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| #2,851 | toretore/barby | Ruby | ★ 855 | Compare ↗ |
| #2,851 | HabitRPG/habitica-ios | Swift | ★ 855 | Compare ↗ |
| #2,853 | huawei-bayerlab/marigold-v2 This Project | Python | ★ 854 | |
| #2,854 | smi2/phpClickHouse | PHP | ★ 853 | Compare ↗ |
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Frequently Asked Questions
What does marigold-v2 do? +
Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
What language is marigold-v2 written in? +
The primary language is Python. Topics include: software.
Is marigold-v2 actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 7 open issues being tracked.
How many stars does marigold-v2 have? +
marigold-v2 has 854 stars and 67 forks on GitHub.
How does marigold-v2 rank among GitHub repositories? +
With 854 stars, huawei-bayerlab/marigold-v2 is ranked #2,853 globally across all repositories tracked on GitHubRepo and #357 among Python projects.
What license is marigold-v2 distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
