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nathanborror/figleaf

A code coverage recording and analysis tool for Python

★7STARS
⑂0FORKS
!0ISSUES
🏆#10,707GLOBAL RANK
🔥23DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for nathanborror/figleaf
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,212

MOST-STARRED Python

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

figleaf 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 #1,212 among Python repositories and #10,707 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

figleaf is an open-source project written in Python: A code coverage recording and analysis tool for Python.

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 figleaf

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

figleaf 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 figleaf 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 figleaf using your package manager: `pip install figleaf`

2

Initialize your project workspace or configuration file for figleaf.

3

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

4

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

👍 Strengths

Active community backing with 7 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

nathanborror/figleaf is currently ranked #10,707 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,499 taq/traquitana Ruby ★ 8 Compare ↗
#10,499 mboes/dedukti Haskell ★ 8 Compare ↗
#10,499 Jopie64/pjsip C ★ 8 Compare ↗
#10,499 technicalpickles/rankles Ruby ★ 8 Compare ↗
#10,499 digi604/django-dbforms Python ★ 8 Compare ↗
#10,707 nathanborror/figleaf This Project Python ★ 7
#10,707 nicksieger/jrexml Ruby ★ 7 Compare ↗
#10,707 ruphy/tagua C++ ★ 7 Compare ↗
#10,707 AndrewO/rubycas-client Ruby ★ 7 Compare ↗
#10,707 infil00p/wifidog---freethenet-client C ★ 7 Compare ↗
#10,707 jm/dcov Ruby ★ 7 Compare ↗

Frequently Asked Questions

What does figleaf do? +

A code coverage recording and analysis tool for Python

What language is figleaf written in? +

The primary language is Python. Topics include: software.

Is figleaf actively maintained? +

Yes, the last recorded push was on Apr 13, 2009 with 0 open issues being tracked.

How many stars does figleaf have? +

figleaf has 7 stars and 0 forks on GitHub.

How does figleaf rank among GitHub repositories? +

With 7 stars, nathanborror/figleaf is ranked #10,707 globally across all repositories tracked on GitHubRepo and #1,212 among Python projects.

What license is figleaf distributed under? +

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

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