Skip to content

About

An analysis of the most-starred Python projects on GitHub using data pulled from the GitHub API, processed with Python, and visualized with Plotly.

Resources

Stars

1 star

Watchers

1 watching

Forks

Latest commit

 

History

6 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

📊 GitHub-Python-Stars-Analysis

An analysis of the most-starred Python projects on GitHub using data pulled from the GitHub API, processed with Python, and visualized with Plotly.

This project visualizes the most-starred Python repositories on GitHub, highlighting popular projects in the Python community.

🔍 Overview

We use the GitHub API to retrieve data about the top-starred Python repositories, process the data with Python's json() method, and visualize the results with plotly.express.

📦 How It Works

Data Collection: A GET request is made to the GitHub API to fetch repository information. Data Processing: The data is parsed and processed using Python to extract repository names and star counts. Visualization: The processed data is visualized using plotly.express to create a bar chart showcasing the most-starred Python projects on GitHub.

📈 Results

The bar chart displays repositories like public-apis, Python, Auto-GPT, and system-design-primer as some of the most popular Python projects on GitHub.

image

📄 License

This project is licensed under the MIT License.

About

An analysis of the most-starred Python projects on GitHub using data pulled from the GitHub API, processed with Python, and visualized with Plotly.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages