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paper-instruments/feather-train

Feather agent harness, training integrations, and evaluation tools for knowledge work

Python ◇ developer-tools MIT
★120STARS
⑂17FORKS
!20ISSUES
🏆#15,977GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,042

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

feather-train gained 10 stars in the last 30 days, about 1 a day, and now has 120. It is about 1 year old and has averaged roughly 120 stars a year. It ranks #2,042 among Python repositories and #15,977 across all languages on GitHubRepo.

Trending Record

feather-train has maintained a continuous presence across global trending indexes, peaking at #14961. Below is the 30-day activity profile:

💡 Overview

feather-train is an open-source project written in Python: Feather agent harness, training integrations, and evaluation tools for knowledge work.

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 feather-train

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

feather-train 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 feather-train 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 feather-train using your package manager: `pip install feather-train`

2

Initialize your project workspace or configuration file for feather-train.

3

Import feather-train into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 120 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.

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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

paper-instruments/feather-train is currently ranked #15,977 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,922 S3cur3Th1sSh1t/SnafflePy Python ★ 121 Compare ↗
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#15,977 paper-instruments/feather-train This Project Python ★ 120
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Frequently Asked Questions

What does feather-train do? +

Feather agent harness, training integrations, and evaluation tools for knowledge work

What language is feather-train written in? +

The primary language is Python. Topics include: software.

Is feather-train actively maintained? +

Yes, the last recorded push was on Oct 14, 2026 with 20 open issues being tracked.

How many stars does feather-train have? +

feather-train has 120 stars and 17 forks on GitHub.

How does feather-train rank among GitHub repositories? +

With 120 stars, paper-instruments/feather-train is ranked #15,977 globally across all repositories tracked on GitHubRepo and #2,042 among Python projects.

What license is feather-train distributed under? +

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

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