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flother/participationgraphs

Django app with a template tag to allow you to include sparklines of the 52-week commit history for a project on Github

Python ◇ developer-tools NOASSERTION
★7STARS
⑂0FORKS
!0ISSUES
🏆#17,726GLOBAL RANK
🔥23DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,166

MOST-STARRED Python

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

participationgraphs gained 10 stars in the last 30 days, about 1 a day, and now has 7. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #2,166 among Python repositories and #17,726 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

participationgraphs is an open-source project written in Python: Django app with a template tag to allow you to include sparklines of the 52-week commit history for a project on Github.

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 participationgraphs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

participationgraphs 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 participationgraphs 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 NOASSERTION license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for participationgraphs.

3

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

4

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

👍 Strengths

Active community backing with 7 GitHub stars and verified adoption.
Permissive open-source distribution under the NOASSERTION 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

flother/participationgraphs is currently ranked #17,726 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,370 psq/mephisto-haml-templates-plugin Ruby ★ 8 Compare ↗
#17,370 pdsphil/ruby-idology Ruby ★ 8 Compare ↗
#17,370 up_the_irons/ram Ruby ★ 8 Compare ↗
#17,370 jnewland/gsa-feeds Ruby ★ 8 Compare ↗
#17,370 app/ananas-labs C++ ★ 8 Compare ↗
#17,726 flother/participationgraphs This Project Python ★ 7
#17,726 nicksieger/jrexml Ruby ★ 7 Compare ↗
#17,726 ruphy/tagua C++ ★ 7 Compare ↗
#17,726 AndrewO/rubycas-client Ruby ★ 7 Compare ↗
#17,726 infil00p/wifidog---freethenet-client C ★ 7 Compare ↗
#17,726 jm/dcov Ruby ★ 7 Compare ↗

Frequently Asked Questions

What does participationgraphs do? +

Django app with a template tag to allow you to include sparklines of the 52-week commit history for a project on Github

What language is participationgraphs written in? +

The primary language is Python. Topics include: software.

Is participationgraphs actively maintained? +

Yes, the last recorded push was on Sep 25, 2010 with 0 open issues being tracked.

How many stars does participationgraphs have? +

participationgraphs has 7 stars and 0 forks on GitHub.

How does participationgraphs rank among GitHub repositories? +

With 7 stars, flother/participationgraphs is ranked #17,726 globally across all repositories tracked on GitHubRepo and #2,166 among Python projects.

What license is participationgraphs distributed under? +

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

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