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ccbogel
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ccbogel/QualCoder

Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.13 or newer and PyQt6.

★693STARS
⑂144FORKS
!22ISSUES
🏆#7,613GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+17

STARS · LAST 30 DAYS

1

PER DAY

#1,040

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+17+90
Per day111
Forks gained+1+3+10

QualCoder gained 17 stars in the last 30 days, about 1 a day, and now has 693. It is about 8 years old and has averaged roughly 87 stars a year. It ranks #1,040 among Python repositories and #7,613 across all languages on GitHubRepo.

Trending Record

QualCoder has maintained a continuous presence across global trending indexes, peaking at #8346. Below is the 30-day activity profile:

💡 Overview

QualCoder is an open-source project written in Python: Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.13 or newer and PyQt6.

Engineered for speed, consistency, and developer ease, it solves common hurdles in qualitative-data-analysis. 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 QualCoder

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

QualCoder 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 QualCoder 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 LGPL-3.0 license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for QualCoder.

3

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

4

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

👍 Strengths

Active community backing with 693 GitHub stars and verified adoption.
Permissive open-source distribution under the LGPL-3.0 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

ccbogel/QualCoder is currently ranked #7,613 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,604 yoheimuta/protolint Go ★ 694 Compare ↗
#7,604 lukeswitz/AntiHunter C++ ★ 694 Compare ↗
#7,604 Yeraze/meshmonitor TypeScript ★ 694 Compare ↗
#7,604 bea4dev/ShojiWM Rust ★ 694 Compare ↗
#7,604 evangelosvlachos96-dotcom/booking-microservices C# ★ 694 Compare ↗
#7,613 ccbogel/QualCoder This Project Python ★ 693
#7,613 horsicq/XAPKDetector C++ ★ 693 Compare ↗
#7,613 CuarzoSoftware/Louvre C++ ★ 693 Compare ↗
#7,613 Jman-Github/ReVanced-Patch-Bundles Kotlin ★ 693 Compare ↗
#7,613 Deuz-AI/Deuz-SDK TypeScript ★ 693 Compare ↗
#7,618 guanguans/notify PHP ★ 692 Compare ↗
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Frequently Asked Questions

What does QualCoder do? +

Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.13 or newer and PyQt6.

What language is QualCoder written in? +

The primary language is Python. Topics include: qualitative-data-analysis.

Is QualCoder actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 22 open issues being tracked.

How many stars does QualCoder have? +

QualCoder has 693 stars and 144 forks on GitHub.

How does QualCoder rank among GitHub repositories? +

With 693 stars, ccbogel/QualCoder is ranked #7,613 globally across all repositories tracked on GitHubRepo and #1,040 among Python projects.

What license is QualCoder distributed under? +

The repository reports a LGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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