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suryasev/python-degapi

Gdata-based Python library for the Google Analytics Data Export API

★6STARS
⑂0FORKS
!0ISSUES
🏆#12,021GLOBAL RANK
🔥22DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,350

MOST-STARRED Python

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

python-degapi gained 10 stars in the last 30 days, about 1 a day, and now has 6. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #1,350 among Python repositories and #12,021 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

python-degapi is an open-source project written in Python: Gdata-based Python library for the Google Analytics Data Export API.

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 python-degapi

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

python-degapi 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 python-degapi 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 python-degapi using your package manager: `pip install python-degapi`

2

Initialize your project workspace or configuration file for python-degapi.

3

Import python-degapi into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 6 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.

⇄ 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

suryasev/python-degapi is currently ranked #12,021 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,745 jm/dcov Ruby ★ 7 Compare ↗
#11,745 infil00p/wifidog---freethenet-client C ★ 7 Compare ↗
#11,745 AndrewO/rubycas-client Ruby ★ 7 Compare ↗
#11,745 ruphy/tagua C++ ★ 7 Compare ↗
#11,745 nicksieger/jrexml Ruby ★ 7 Compare ↗
#12,021 suryasev/python-degapi This Project Python ★ 6
#12,021 jnicklas/rorem Ruby ★ 6 Compare ↗
#12,021 collectiveidea/css_naked_day Ruby ★ 6 Compare ↗
#12,021 lancecarlson/kissgen Ruby ★ 6 Compare ↗
#12,021 drnic/comment_replies JavaScript ★ 6 Compare ↗
#12,021 lachie/logeye Ruby ★ 6 Compare ↗

Frequently Asked Questions

What does python-degapi do? +

Gdata-based Python library for the Google Analytics Data Export API

What language is python-degapi written in? +

The primary language is Python. Topics include: software.

Is python-degapi actively maintained? +

Yes, the last recorded push was on May 26, 2009 with 0 open issues being tracked.

How many stars does python-degapi have? +

python-degapi has 6 stars and 0 forks on GitHub.

How does python-degapi rank among GitHub repositories? +

With 6 stars, suryasev/python-degapi is ranked #12,021 globally across all repositories tracked on GitHubRepo and #1,350 among Python projects.

What license is python-degapi distributed under? +

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

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