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4 repository-uri

Awesome GitHub RepositoriesRandomness

Libraries for generating random data.

Explore 4 awesome GitHub repositories matching part of an awesome list · Randomness. Refine with filters or upvote what's useful.

Awesome Randomness GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • smartcontractkit/chainlinkAvatar smartcontractkit

    smartcontractkit/chainlink

    8,222Vezi pe GitHub↗

    Chainlink is a decentralized oracle network that connects smart contracts to off-chain data, computation, and real-world systems. It provides a secure and reliable infrastructure for blockchain applications to access external information, execute automated workflows, and interact with other blockchains. The network is secured by a staking-based model where node operators lock LINK tokens as collateral, which can be slashed for poor performance, incentivizing honest and accurate data delivery. The platform distinguishes itself through a comprehensive set of capabilities that extend beyond basi

    Distributes rare items and rewards to participants using provably fair randomness that cannot be manipulated.

    Goblockchainchainlinkethereum
    Vezi pe GitHub↗8,222
  • giacomocavalieri/prngAvatar giacomocavalieri

    giacomocavalieri/prng

    31Vezi pe GitHub↗

    🎲 A Pure Random Number Generator (PRNG) for Gleam

    Provides pure random number generation.

    Gleam
    Vezi pe GitHub↗31
  • massivefermion/blahAvatar massivefermion

    massivefermion/blah

    21Vezi pe GitHub↗

    fake data generation for gleam

    Generates fake data for testing.

    Gleam
    Vezi pe GitHub↗21
  • mrdimosthenis/minigenAvatar mrdimosthenis

    mrdimosthenis/minigen

    19Vezi pe GitHub↗

    Pure random data generation library, appropriate for realistic simulations in the Erlang ecosystem

    Generates random data for simulations.

    Gleam
    Vezi pe GitHub↗19
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Explorează sub-etichetele

  • Provably Fair DistributionsAssigns rare items, attributes, or winners to participants using verifiable randomness that cannot be manipulated. **Distinct from Randomness:** Distinct from Randomness: focuses on fair distribution of assets or rewards using provable randomness, not general random data generation.