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mackstann/mpd-weighted-playlist

An mpd script to maintain a playlist that is random but can be weighted by artist/album/title

★3STARS
⑂1FORKS
!0ISSUES
🏆#30,169GLOBAL RANK
🔥21DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

mpd-weighted-playlist is mpd-weighted-playlist is an open-source project written in Python: An mpd script to maintain a playlist that is random but can be weighted by artist/album/title..

Repository mackstann/mpd-weighted-playlist ↗
Primary Category developer tools
Language & Stack Python
Software License Open Source (Check repository LICENSE)
Community Traction ★ 3 stars · ⑂ 1 forks · #30,169 globally
Maintenance ● Active (Last commit: Nov 6, 2008) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,789

MOST-STARRED Python

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

mpd-weighted-playlist gained 10 stars in the last 30 days, about 1 a day, and now has 3. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #3,789 among Python repositories and #30,169 across all languages on GitHubRepo.

Trending Record

mpd-weighted-playlist has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

mpd-weighted-playlist is an open-source project written in Python: An mpd script to maintain a playlist that is random but can be weighted by artist/album/title.

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

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 mpd-weighted-playlist

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mpd-weighted-playlist 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 mpd-weighted-playlist 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 source license.

🚀 Getting Started

1

Install mpd-weighted-playlist using your package manager: `pip install mpd-weighted-playlist`

2

Initialize your project workspace or configuration file for mpd-weighted-playlist.

3

Import mpd-weighted-playlist into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mpd-weighted-playlist --help` to verify successful setup.

👍 Strengths

Active community backing with 3 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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

mackstann/mpd-weighted-playlist is currently ranked #30,169 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#30,169 mackstann/mpd-weighted-playlist This Project Python ★ 3
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Frequently Asked Questions

What does mpd-weighted-playlist do? +

An mpd script to maintain a playlist that is random but can be weighted by artist/album/title

What language is mpd-weighted-playlist written in? +

The primary language is Python. Topics include: software.

Is mpd-weighted-playlist actively maintained? +

Yes, the last recorded push was on Nov 6, 2008 with 0 open issues being tracked.

How many stars does mpd-weighted-playlist have? +

mpd-weighted-playlist has 3 stars and 1 forks on GitHub.

How does mpd-weighted-playlist rank among GitHub repositories? +

With 3 stars, mackstann/mpd-weighted-playlist is ranked #30,169 globally across all repositories tracked on GitHubRepo and #3,789 among Python projects.

What license is mpd-weighted-playlist distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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