Showing 3 open source projects for "seed"

View related business solutions
  • 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
  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
    Try Free
  • 1
    BIP39-XOR

    BIP39-XOR

    Encrypt or decrypt 12, 15, 18, 21 or 24 BIP39 codewords array ("seed")

    Encrypt or decrypt 12, 15, 18, 21 or 24 BIP39 codewords array (so-called "seed phrase") using exclusive OR (XOR)/Vernam cipher (a.k.a. One Time Pad). If not input by a user, an encryption key is automatically generated at random. Encryption with such a key preserves integrity of BIP-39 checksums of all keys (that's distinct while also compatible with SeedXOR implementation).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Burner wallet

    Burner wallet

    Ephemeral web wallet for fast crypto cash

    Burner Wallet is a lightweight, ephemeral crypto wallet designed for speed and simplicity. It generates a fresh Ethereum keypair on page load — no seed phrase, no account creation. The compiled application is available in BurnerWallet.zip. You can store any amount of crypto, but treat it like cash: convenient for daily payments, less secure for large holdings. Use QR codes to send/receive funds, create payment links, swap between ETH/DAI/xDai, and even chat peer-to-peer with encryption. ...
    Leader badge
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo