Put your wardrobe in rows. Self-hosted AI-powered wardrobe management app.
Star History
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+19
STARS · LAST 30 DAYS
1
PER DAY
#756
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
wardrowbe gained 19 stars in the last 30 days, about 1 a day, and now has 752. It is about 1 year old and has averaged roughly 752 stars a year. It ranks #756 among Python repositories and #5,587 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6031
BEST RANK
Oct 6, 2026
FIRST APPEARANCE
Active
STATUS TODAY
wardrowbe has maintained a continuous presence across global trending indexes, peaking at #6031. Below is the 30-day activity profile:
💡 Overview
wardrowbe is an open-source project written in Python: Put your wardrobe in rows. Self-hosted AI-powered wardrobe management app.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, outfit-ai, outfit-pairing. 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 wardrowbe⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
wardrowbe 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with wardrowbe.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install wardrowbe using your package manager: `pip install wardrowbe`
Initialize your project workspace or configuration file for wardrowbe.
Import wardrowbe into your codebase or invoke it directly from your terminal.
Execute your test suite or run `wardrowbe --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
Anyesh/wardrowbe is currently ranked #5,587 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,580 | enix/kube-image-keeper | Go | ★ 754 | Compare ↗ |
| #5,580 | Shopify/cli | TypeScript | ★ 754 | Compare ↗ |
| #5,580 | egoist/mygo | Go | ★ 754 | Compare ↗ |
| #5,585 | DionysiosB/CodeForces | C++ | ★ 753 | Compare ↗ |
| #5,585 | s2-streamstore/s2 | Rust | ★ 753 | Compare ↗ |
| #5,587 | Anyesh/wardrowbe This Project | Python | ★ 752 | |
| #5,587 | NUARIG/surveyor | Ruby | ★ 752 | Compare ↗ |
| #5,587 | magro/memcached-session-manager | Java | ★ 752 | Compare ↗ |
| #5,587 | MockBukkit/MockBukkit | Java | ★ 752 | Compare ↗ |
| #5,587 | devmobasa/wayscriber | Rust | ★ 752 | Compare ↗ |
| #5,587 | KipData/KiteSQL | Rust | ★ 752 | Compare ↗ |
Frequently Asked Questions
What does wardrowbe do? +
Put your wardrobe in rows. Self-hosted AI-powered wardrobe management app.
What language is wardrowbe written in? +
The primary language is Python. Topics include: ai, outfit-ai, outfit-pairing, outfits, style-ai.
Is wardrowbe actively maintained? +
Yes, the last recorded push was on Oct 6, 2026 with 61 open issues being tracked.
How many stars does wardrowbe have? +
wardrowbe has 752 stars and 149 forks on GitHub.
How does wardrowbe rank among GitHub repositories? +
With 752 stars, Anyesh/wardrowbe is ranked #5,587 globally across all repositories tracked on GitHubRepo and #756 among Python projects.
What license is wardrowbe distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
