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GitHub API Topics Dataset
Software and Technology
Tags and Keywords
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Free
About
This dataset contains information about user-curated topics from GitHub.com, collected via the GitHub Rest API. GitHub Topics serve as descriptive tags for repositories, allowing users to categorise their projects. Topics with the highest number of associated repositories are often featured on the GitHub Topics main page. The dataset provides details for over 660 unique topics, capturing their characteristics as of March 2022. It is particularly valuable for understanding trends in software development and how projects are categorised on the platform.
Columns
- ID: A unique string identifier for each topic.
- name: The programmatic name of the topic.
- display_name: The user-friendly name of the topic as displayed on GitHub.
- short_description: A brief overview of the topic's theme.
- description: A more detailed explanation of the topic and its context.
- created_by: The person or organisation responsible for creating the topic on GitHub.com.
- released: The release date of associated software, if applicable.
- created_at: The date and time when the topic was originally created.
- updated_at: The date and time of the most recent update to the topic's information.
- featured: A boolean indicator showing whether the topic is featured on the GitHub Topics page.
Distribution
The dataset is typically provided in a CSV (Comma Separated Values) format. It comprises over 660 unique records, with the exact number being 664 entries at the time of collection. Each record corresponds to a single GitHub topic. Specific details regarding file size are not available, but it is structured as a single tabular dataset.
Usage
This dataset is ideal for a variety of applications, including:
- Analysing software development trends and popular technologies.
- Building topic categorisation models for repositories.
- Developing recommender systems for GitHub users or projects.
- Conducting research on online communities and open-source ecosystems.
- Content analysis of topic descriptions and their evolution.
- Market research into developer interests and project focus areas.
Coverage
The dataset's coverage is global, reflecting topics from across GitHub.com.
- Time Range: The topics within the dataset have creation dates ranging from November 2016 to October 2021. The topic information itself was last updated between January 2020 and March 2022, with the data collection for this dataset occurring on 4 March 2022.
- Geographic Scope: No specific geographic limitation is applied; the topics are drawn from the global GitHub platform.
- Demographic Scope: Not applicable as the data pertains to software topics, not individual demographics.
License
CC0
Who Can Use It
This dataset is suitable for:
- Data Scientists and Analysts: For exploring trends, building predictive models, and performing statistical analysis on software topics.
- Software Developers: For understanding popular technologies, discovering new project areas, or enhancing their applications with topic-based features.
- Researchers (Academic and Industry): For studies on open-source dynamics, community behaviour, and information retrieval.
- Product Managers: For insights into developer ecosystems and market opportunities.
- Educators: For teaching concepts related to data analysis, web scraping, and software trends.
Dataset Name Suggestions
- GitHub Curated Topics Data
- GitHub API Topics Dataset
- GitHub Repository Tags
- Software Project Topics
- GitHub Trends Data
Attributes
Original Data Source: GitHub Curated Topics
QUALITY