Arbitrum vs NeuroWeb
Arbitrum vs NeuroWeb Scalability
Real-time TPS
Arbitrum TPS is 24.9 tx/s, while NeuroWeb has no data
Max TPS (100 blocks)
Arbitrum max TPS is 1,358 tx/s, while NeuroWeb has no data
Max Theoretical TPS
Arbitrum max theoretical TPS is 40,000 tx/s, while NeuroWeb has no data
Transaction Volume
Arbitrum transaction volume is 89,642 txns, while NeuroWeb has no data
Block Time
Arbitrum block time is 0.25s, while NeuroWeb has no data
Finality
Arbitrum finality is 13m 48s, while NeuroWeb has no data
Type
Arbitrum is a layer 2 blockchain, while NeuroWeb has no data
Launch Date
Arbitrum was launched on Aug 31, 2021, while the NeuroWeb has no data
Arbitrum vs NeuroWeb Decentralization
Nakamoto Coefficient
Arbitrum Nakamoto Coefficient is 1, while NeuroWeb has no data
Validators/Miners
Arbitrum has 1 validators, while NeuroWeb has no data
Stake/Hashrate
Arbitrum and NeuroWeb have no data
Consensus Mechanism
Arbitrum is Rollup (Optimistic), while NeuroWeb has no data
Governance
Arbitrum governance is on-chain, while NeuroWeb has no data
Arbitrum vs NeuroWeb Developer Activity New
Developers
Arbitrum has 2,301 developers, while NeuroWeb has no data
Repos
Arbitrum has 126 repos, while NeuroWeb has no data
Commits
Arbitrum has 184,644 commits, while NeuroWeb has no data
Stars
Arbitrum has 10,288 stars, while NeuroWeb has no data
Watchers
Arbitrum has 1,714 watchers, while NeuroWeb has no data
Other Comparisons
Arbitrum Comparisons
About Blockchains
About Arbitrum
Arbitrum serves as a Layer 2 scaling solution for Ethereum, leveraging rollups to significantly boost scalability and reduce transaction costs while maintaining robust security. It enables developers to execute EVM-compatible smart contracts with a substantially higher transaction throughput and lower fees compared to Ethereum's main chain, making it a compelling platform for decentralized application development.
About NeuroWeb
NeuroWeb Network is a decentralized Artificial Intelligence blockchain designed to incentivise knowledge creation, connectivity and sharing through Knowledge Mining.