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Index-anisora: A Go-based Anime Data Indexing Project
Index-anisora is an open-source project by Bilibili aimed at indexing and organizing comprehensive anime data, providing a structured source for developers and data enthusiasts.
Python
Added on 2025年7月6日1,595
Stars74
ForksPython
LanguageProject Introduction
Summary
This project provides a robust framework built in Go for efficiently collecting, processing, and indexing diverse anime-related information from multiple sources, creating a unified and easily accessible dataset.
Problem Solved
Aggregating consistent and reliable anime data from disparate sources is challenging and time-consuming. Index-anisora tackles this by offering an automated, scalable solution for data acquisition and indexing.
Core Features
Multi-Source Data Fetching
Automatically collects data from various anime databases and APIs.
Structured Data Indexing
Organizes collected data into a consistent, queryable format.
Data Access API
Provides an API for easy access to indexed anime information.
Tech Stack
Go
PostgreSQL
Redis
Docker
Use Cases
Index-anisora can be utilized in various applications and analyses requiring structured access to comprehensive anime data, including:
Building Anime Tracking Applications
Details
Developers can use the indexed data to power features like user tracking, recommendations, and detailed info display in their applications.
User Value
Streamlines development by providing a single, reliable source for comprehensive anime information.
Anime Market Trend Analysis
Details
Data analysts and researchers can leverage the structured dataset for studies into anime popularity, genre trends, release patterns, and fan engagement.
User Value
Enables in-depth research with readily available, clean, and organized data.
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