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jtauber/sebastian

symbolic music analysis and composition library in Python

Python ◇ music MIT
★123STARS
⑂21FORKS
!10ISSUES
🏆#17,598GLOBAL RANK
🔥22DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

sebastian is sebastian is an open-source project written in Python: symbolic music analysis and composition library in Python..

Repository jtauber/sebastian ↗
Primary Category music
Language & Stack Python
Software License MIT
Community Traction ★ 123 stars · ⑂ 21 forks · #17,598 globally
Maintenance ● Active (Last commit: Jul 15, 2014) · 10 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

#2,293

MOST-STARRED Python

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

sebastian gained 10 stars in the last 30 days, about 1 a day, and now has 123. It is about 17 years old and has averaged roughly 7 stars a year. It ranks #2,293 among Python repositories and #17,598 across all languages on GitHubRepo.

Trending Record

sebastian has maintained a continuous presence across global trending indexes, peaking at #7781. Below is the 30-day activity profile:

💡 Overview

sebastian is an open-source project written in Python: symbolic music analysis and composition library in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in music, music-theory. 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 sebastian

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sebastian 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 sebastian 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 MIT license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for sebastian.

3

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

4

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

👍 Strengths

Active community backing with 123 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

jtauber/sebastian is currently ranked #17,598 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,542 Simreal-AI/future-prediction-bench Python ★ 124 Compare ↗
#17,542 kackerx/sqlmux Go ★ 124 Compare ↗
#17,542 NahumLitvin/prismantis TypeScript ★ 124 Compare ↗
#17,542 fudan-generative-vision/Remory Python ★ 124 Compare ↗
#17,542 rzc156/dreamforge Python ★ 124 Compare ↗
#17,598 jtauber/sebastian This Project Python ★ 123
#17,598 ruphy/speedcrunch C++ ★ 123 Compare ↗
#17,598 jm/matchy Ruby ★ 123 Compare ↗
#17,598 yhager/nginx_drupal — ★ 123 Compare ↗
#17,598 AtomGraph/Web-Client JavaScript ★ 123 Compare ↗
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Frequently Asked Questions

What does sebastian do? +

symbolic music analysis and composition library in Python

What language is sebastian written in? +

The primary language is Python. Topics include: music, music-theory.

Is sebastian actively maintained? +

Yes, the last recorded push was on Jul 15, 2014 with 10 open issues being tracked.

How many stars does sebastian have? +

sebastian has 123 stars and 21 forks on GitHub.

How does sebastian rank among GitHub repositories? +

With 123 stars, jtauber/sebastian is ranked #17,598 globally across all repositories tracked on GitHubRepo and #2,293 among Python projects.

What license is sebastian distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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