Roseman Labs is a software that allows for secure data collaboration. To interact with the engine underlying the software, we have developed a Python package called crandas. This package allows users to encrypt and upload data to the engine, perform privacy-preserving data analyses over the encrypted data, and obtain the computational results. It offers a seamless way to perform secure computations on private data while maintaining a familiar pandas-like syntax. Users can leverage the power of multi-party computation (MPC) tools for data analysis without having to worry about the cryptography.
Looking for crandas Updates? Checkout this link for the changelog of Crandas.