An Python implementation for Mind DataPack

Mind Network is a permissionless and scalable zero-trust data lake. Its core feature is to compute over encrypted data and allow that data to be stored in various Web3 storage protocols.

DataPack, contributed by the Mind Network Team, is to enable data transformation and transportation between Mind Network and storage protocols, like Arweave. It is an adapter that facilitates the smooth conversion of data between plaintext and ciphertext to be stored in Mind Network or Arweave. This module empowers users to retrieve their infrequently processed data, known as "cold data," from Mind Network and store it in local or decentralized storage. When the need arises to perform computing on the encrypted data again, users can effortlessly load it back into Mind Network for processing.

• Python >= 3.8
• pip
• mindlakesdk
• arseeding

• pip install minddatapack

from minddatapack import DataPack
...

• use case of arweave in jupyter
• use case of IPFS in jupyter

mind-datapack-python
|-- minddatapack # source code
|   |-- __init__.py
|   |-- arweaveconnector.py
|   |-- ipfsconnector.py
|   |-- localfileconnector.py
|   |-- mindlakeconnector.py
|   └-- utils.py
|-- examples # use case examples
|-- README.md
└--- LICENSE

Full doc: https://mind-network.gitbook.io/mind-lake-sdk

• Dennis @NuIlPtr
• George @georgemindnet

• v1.0
  • Initial Release
• v1.0.1
  • Add IPFS support
• v1.0.3
  • Change connectors to be class

This project is licensed under the [MIT] License - see the LICENSE.md file for details