Layer Loop Analysis
A Loopring NFT Collection and Wallet Dashboard
Product Analysis: Layer Loop Analysis
Overview
Layer Loop Analysis is a dashboard that analyzes Loopring NFT Collections and Wallets. It fetches transaction data from the Loopring GraphQL Subgraph and provides users with the ability to perform their own analysis and view collections. The dashboard is built using Docker and has a local SQLite database.
Features
- Data Analysis: Layer Loop Analysis fetches transaction data from the Loopring GraphQL Subgraph and provides users with the ability to analyze Loopring NFT collections and wallets.
- Local Storage: The app utilizes a local SQLite database, allowing users to have data stored locally for running their own additional analysis.
- User Contributions: The project encourages requests, code contributions, and further discussion to shape its future direction and improve its functionality.
Summary
Layer Loop Analysis is a dashboard that enables users to analyze Loopring NFT Collections and Wallets. It fetches transaction data from the Loopring GraphQL Subgraph and provides users with the ability to perform their own analysis and view collections. The app utilizes a local SQLite database for data storage and encourages user contributions to shape its future development. Installation of the app requires Docker and Git, as well as following the provided installation steps.
- Flask
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
- Dashboard
A dashboard style website template is a pre-designed layout that features a user interface resembling a control panel or dashboard. It typically includes charts, graphs, tables, and other data visualization tools that allow users to monitor and analyze data in real-time.
- Docker
A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.