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clintecker/python-googleanalytics

A python client for accessing the Google Analytics API

Python ◇ developer-tools BSD-3-Clause
★247STARS
⑂55FORKS
!7ISSUES
🏆#5,379GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for clintecker/python-googleanalytics
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#634

MOST-STARRED Python

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

python-googleanalytics gained 10 stars in the last 30 days, about 1 a day, and now has 247. It is about 17 years old and has averaged roughly 15 stars a year. It ranks #634 among Python repositories and #5,379 across all languages on GitHubRepo.

Trending Record

python-googleanalytics has maintained a continuous presence across global trending indexes, peaking at #5027. Below is the 30-day activity profile:

💡 Overview

python-googleanalytics is an open-source project written in Python: A python client for accessing the Google Analytics 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-googleanalytics

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

python-googleanalytics 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-googleanalytics 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 BSD-3-Clause license.

🚀 Getting Started

1

Install python-googleanalytics using your package manager: `pip install python-googleanalytics`

2

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

3

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

4

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

👍 Strengths

Active community backing with 247 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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

clintecker/python-googleanalytics is currently ranked #5,379 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#5,365 rezigned/upmd Rust ★ 248 Compare ↗
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#5,379 clintecker/python-googleanalytics This Project Python ★ 247
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#5,379 templatus/templatus-hotwire Ruby ★ 247 Compare ↗
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Frequently Asked Questions

What does python-googleanalytics do? +

A python client for accessing the Google Analytics API

What language is python-googleanalytics written in? +

The primary language is Python. Topics include: software.

Is python-googleanalytics actively maintained? +

Yes, the last recorded push was on Jul 17, 2021 with 7 open issues being tracked.

How many stars does python-googleanalytics have? +

python-googleanalytics has 247 stars and 55 forks on GitHub.

How does python-googleanalytics rank among GitHub repositories? +

With 247 stars, clintecker/python-googleanalytics is ranked #5,379 globally across all repositories tracked on GitHubRepo and #634 among Python projects.

What license is python-googleanalytics distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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