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Open Source Topic Star Count Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Provides a detailed, scraped list of GitHub repository information categorized by specific topics. The data captures the title of the topic, the associated user name, the repository name, the direct link, and the current star count. This resource is highly valuable for analysing the popularity and reach of various open-source development areas and understanding current technology trends. The data collection focused on securing information for the top 120 GitHub repositories relevant to each topic found on the GitHub topics page.
Columns
- topic: Identifies the different subject areas or categories present on the website (180 unique values).
- user_name: The GitHub User Name associated with the repository (over 12,200 unique accounts).
- repo_name: The name of the GitHub Repository (over 15,400 unique names).
- repo_link: The Link to the GiHub Repository (over 15,900 unique links).
- start_count: The Number of stars received from other users.
Distribution
The data is available in a CSV file format, sized approximately 1.64 MB. The dataset holds over 21,300 valid records across 5 distinct columns. The data was collected using Python libraries, specifically Selenium and BeautifulSoup, and is scheduled for monthly updates to maintain relevance.
Usage
This resource is ideal for:
- Trend Analysis: Monitoring which open-source topics and repositories are gaining the most traction globally.
- Benchmarking: Identifying and comparing the star count popularity of leading GitHub users and projects.
- Software Strategy: Determining highly engaged topic areas for potential business or project investment.
- Academic Studies: Conducting research into community metrics and contribution levels in software development.
Coverage
The dataset reflects repository metadata and engagement metrics captured as of November 2022. It focuses exclusively on content scraped from the
https://github.com/topics page. Update frequency is expected to be monthly, ensuring the data remains current regarding star counts and new popular repositories.License
CC0: Public Domain
Who Can Use It
- Data Scientists: For developing predictive models of project success or popularity.
- Product Managers: To discover top-rated tools and libraries within their industry sector.
- Software Developers: To research the most starred and active projects related to specific technical topics.
- Researchers: To study the dynamics of the open-source community.
Dataset Name Suggestions
- GitHub Topic Popularity Rankings
- Open Source Topic Star Count Data
- Monthly GitHub Repository Metrics
Attributes
Original Data Source: Open Source Topic Star Count Data
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