2 projects for "python data analysis" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Try Free
  • 1
    Kirmah
    Encryption with symmetric-key algorithm Kirmah - generate keys with exotic chars - redefine key length - key mark to ensure decryption capabilities - mix data - fast with multiprocessing - possible compression - gui on gtk3 - cli tool - python3 DEPENDENCIES : ======== python3, python-gobject, gobject-introspection, pygtk 3 modes are available to encrypt : ======== - compression (full / disabled or only final step) - random (simulate a random order - based on crypted key - to randomize data) - mix (mix data according to a generated map - based on crypted key - with addition of noise) Process is as follow : ======== encrypt : file > [ compress > ] encrypt > [randomiz data > mix data > compress > ] file.kmh decrypt: file.kmh > [ uncompress > unmix data > unrandomiz data] > decrypt > [uncompress > ] file ======== for encrypt/decrypt large binary files, use the fastest alternative : split/merge
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ImpraStorage

    ImpraStorage

    ImpraStorage provided a private imap access to store large files

    ImpraStorage provided a private imap access to store large files. Each file stored on the server is split in severals random parts. Each part also contains random noise data (lenght depends on a crypt key) to ensure privacy and exclude easy merge without the corresponding key. An index of files stored is encrypt (with the symmetric-key algorithm Kirmah) and regularly updated. Once decrypt, it permit to perform search on the server and download each part. transfert process is...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB