How to Analyse GitHub Development Activity with Python
Apply data manipulation techniques with Pandas and leverage data visualization with Matplotlib and Seaborn to extract valuable insights and identify development patterns among six AI web3 projects.
Published in
21 min readJun 28, 2024
GitHub development data provides valuable insights for organizations, investors and competitors looking to evaluate the overall activity in a certain project or company. By analyzing this data, stakeholders can identify top contributors during specific timeframes, pinpoint the most active repositories, and uncover relationships between project milestones and activity levels.
In the following piece, we’ll explore GitHub development data from six open-source AI projects in the web3 ecosystem. They are:
- Ocean Protocol: This project owns different solutions targeting AI and data, ranging from prediction algorithms for cryptocurrency prices to data science challenges and marketplaces.
- Bittensor: This project has a modular architecture aimed at democratizing AI with decentralized computing.
- Fetch.ai: This project allows developers to monetize their AI-driven projects by using their SDK.
- Numerai: This project…
