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<imgalt="Github top language"src="https://img.shields.io/github/languages/top/iMoonLab/Hyper-DB?color=800080">
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## :dart: About ##
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Hyper-DB is a lightweight, flexible, and Python-based database designed to model and manage **hypergraphs**—a generalized graph structure where edges (hyperedges) can connect any number of vertices. This makes Hyper-DB an ideal solution for representing complex relationships between entities in various domains, such as knowledge graphs, social networks, and scientific data modeling.
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Hypergraph-DB is a lightweight, flexible, and Python-based database designed to model and manage **hypergraphs**—a generalized graph structure where edges (hyperedges) can connect any number of vertices. This makes Hypergraph-DB an ideal solution for representing complex relationships between entities in various domains, such as knowledge graphs, social networks, and scientific data modeling.
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Hyper-DB provides a high-level abstraction for working with vertices and hyperedges, making it easy to add, update, query, and manage hypergraph data. With built-in support for persistence, caching, and efficient operations, Hyper-DB simplifies the management of hypergraph data structures.
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Hypergraph-DB provides a high-level abstraction for working with vertices and hyperedges, making it easy to add, update, query, and manage hypergraph data. With built-in support for persistence, caching, and efficient operations, Hypergraph-DB simplifies the management of hypergraph data structures.
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## :rocket: Installation ##
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Hyper-DB is a Python library. You can install it directly from PyPI using `pip`.
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Hypergraph-DB is a Python library. You can install it directly from PyPI using `pip`.
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```bash
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pip install Hyper-DB
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pip install hypergraph-db
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```
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You can also install it by cloning the repository or adding it to your project manually. Ensure you have Python 3.10 or later installed.
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## :checkered_flag: Starting ##
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This section provides a quick guide to get started with Hyper-DB, including iusage, and running basic operations. Below is an example of how to use Hyper-DB, based on the provided test cases.
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This section provides a quick guide to get started with Hypergraph-DB, including iusage, and running basic operations. Below is an example of how to use Hypergraph-DB, based on the provided test cases.
Hyper-DB is open-source and licensed under the [Apache License 2.0](LICENSE). Feel free to use, modify, and distribute it as per the license terms.
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Hypergraph-DB is open-source and licensed under the [Apache License 2.0](LICENSE). Feel free to use, modify, and distribute it as per the license terms.
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---
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## :email: Contact ##
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Hyper-DB is maintained by [iMoon-Lab](http://moon-lab.tech/), Tsinghua University. If you have any questions, please feel free to contact us via email: [Yifan Feng](mailto:[email protected]).
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Hypergraph-DB is maintained by [iMoon-Lab](http://moon-lab.tech/), Tsinghua University. If you have any questions, please feel free to contact us via email: [Yifan Feng](mailto:[email protected]).
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Made with :heart: by <ahref="https://github.com/yifanfeng97"target="_blank">Yifan Feng</a>
Hypergraph-DB is a lightweight, flexible, and Python-based database designed to model and manage **hypergraphs**—a generalized graph structure where edges (hyperedges) can connect any number of vertices. This makes Hypergraph-DB an ideal solution for representing complex relationships between entities in various domains, such as knowledge graphs, social networks, and scientific data modeling.
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Hypergraph-DB provides a high-level abstraction for working with vertices and hyperedges, making it easy to add, update, query, and manage hypergraph data. With built-in support for persistence, caching, and efficient operations, Hypergraph-DB simplifies the management of hypergraph data structures.
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