Transaction building tool for Algorand blockchain
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Updated
Oct 3, 2025 - TypeScript
Transaction building tool for Algorand blockchain
An application to track and visualize the rewards from running an Algorand node, using Nodely API.
🪝 Collection of helpful React Hooks for building Algorand DApps
Official JS SDK for Subtopia Platform. Build your own UI to interact with Subtopia
Everling is a Eco-Friendly browser based on webkit2 with web3 over algorand (comming soon)
Integrate multiple Algorand wallets with a SolidJS web application client
Algoremit is a blockchain-powered remittance platform that uses USDCa (USD Coin on Algorand) to facilitate low-cost, instant, and stable money transfers.
An interface for burning Algorand ASAs in a permissionless, verifiable, and ARC-54 standard way.
🌍 AlgoWorld Explorer is a free and open-source NFT explorer built for AlgoWorld NFT community. Distributed under GPLv3 license
Example starter projects with subtopia-js integration
Claim the 👑 Crown and the 🪄 Sceptre of Algorand Realm (CLI Emulator Edition)
Using the Algorand blockchain to build a Web3 dApp. The dApp contains a front-end, a smart contract and a digital wallet.
ROSCA smart contract with Reach.sh
Human readable Algorand account address creator by means of domain name NFT's, allows for indexing and domain resolution for developers.
AI-powered carbon footprint prediction marketplace enabling proactive emission reduction. Trade carbon credits based on ML forecasts, not reactive purchases. Built with React + Algorand.
A decentralized Blue Carbon MRV platform built on Algorand, enabling transparent tracking of coastal ecosystem restoration. Verified field data from drones and mobile apps is immutably stored, with smart contracts tokenizing carbon credits. The system empowers NGOs, communities, and coastal panchayats to participate and benefit in India’s climate.
UI en react para proyecto mascotas
Asalytics is a social media analytics web application that continually tracks market dynamics via gathering data on participants’ and stakeholders’ thoughts, feelings, and moods on social media platforms regarding ASAs, and using Natural Language Processing techniques to analyze the trends and generate insights dynamically.
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