Show HN: IPFS_dict_chain, a Python Package for Mini-Blockchains on IPFS

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  • ipfs_dict_chain

    ipfs_dict_chain is a Python package that provides IPFSDict and IPFSDictChain objects, which are dictionary-like data structures that store their state on IPFS and keep track of changes, basically creating a mini-blockchain of dicts on IPFS for efficient and secure data management.

  • Valyrian Tech has just released their first Python package known as `ipfs_dict_chain` [https://github.com/ValyrianTech/ipfs_dict_chain]. This package enables developers to create mini-blockchains on IPFS using dictionary-like data structures called IPFSDict and IPFSDictChain, which store their state on IPFS and track changes. It's designed to provide efficient and secure data management on a decentralized network.

    `ipfs_dict_chain` requires Python 3.10 and an IPFS node, and can be easily installed using `pip install ipfs_dict_chain`. You can find more details, usage instructions, and examples in the package documentation [https://github.com/Valyrian-Tech/ipfs-dict-chain/blob/main/R...].

    The project is available on PyPI [https://pypi.org/project/ipfs-dict-chain/] and GitHub [https://github.com/ValyrianTech/ipfs_dict_chain]. Contributions are welcome, and the package is released under the MIT License. Enjoy!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • ValyrianSpellbook

    An Open Source configurable REST API that can serve as the back-end of (almost) any Bitcoin application

  • A little off-topic, but still worth mentioning, this package is based on some code I have been using in a few other projects, https://github.com/ValyrianTech/ValyrianSpellbook and https://www.thehivemind.com

    I always wanted to make it into a separate package but never got around to it until now. This is the first package that I have developed with the help of GPT-4. Working with AI has been amazing and dramatically improved my productivity and code quality.

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