Blur : NFT Marketplace app icon

Apps Like Blur : NFT Marketplace for iPhone and iPad

by Sany Uang★ 0.00 ratingsProductivityFreeData updated 2026-09-06

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. LUXO app icon

    LUXO

    Luxochain SA

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. Shyn - NFT Portfolio app icon

    Shyn - NFT Portfolio

    Popstand, Inc.

    Track NFTs across wallets and blockchains

    Track NFTs across multiple wallets and blockchains. View real-time pricing and total value. Access exclusive community giveaways and whitelist opportunities. Manage holdings and monitor investment performance.

    ★ 4.76 ratingsProductivityFreeData updated 2026-09-06
  1. iZign 2.0 app icon

    iZign 2.0

    I AM Consulting Co., Ltd.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. DID Wallet app icon

    DID Wallet

    ArcBlock, Inc.

    Manage multi-chain crypto and NFTs

    Manage multiple blockchains and Layer2 networks simultaneously. Handle multi-chain, multi-account crypto and NFTs in one interface. Connect to decentralized exchanges, cross-chain bridges, and Web3 apps.

    ★ 4.985 ratingsProductivityFreeData updated 2026-09-17
  3. KnowYaHuman app icon

    KnowYaHuman

    Zhang Li

    Explore blockchain identity with eye tracking

    Capture eye movements to create a unique digital image using machine learning. Mint the image as a non-transferable NFT for identity verification. No monetary value or transferability for the NFT.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
  4. NFT Explorer app icon

    NFT Explorer

    Crapps Crypto Apps S.R.L.

    Track NFTs across multiple blockchains

    Track NFT collections across multiple blockchain networks including Binance Smart Chain, Ethereum, Fantom, Chronos, Avalanche, Arbitrum, and Polygon. View ERC-721 and ERC-1155 transactions such as transfers, buys, sells, and mints.

    ★ 5.02 ratingsFinanceFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.