Dynamic vs Pyth Network
Hyperliquid ecosystem comparison · Wallets & Account Abstraction
Ecosystem PickQuick Take
Dynamic Developer-friendly wallet and auth SDK enabling smooth HyperEVM dApp onboarding on Multi-Layer, while Pyth Network High-fidelity oracle delivering real-world market data to Hyperliquid on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.
Based on public data for Dynamic and Pyth Network. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Dynamic
Multi-LayerDeveloper-friendly wallet and auth SDK enabling smooth HyperEVM dApp onboarding
dynamic.xyz
Pyth Network
Multi-LayerHigh-fidelity oracle delivering real-world market data to Hyperliquid
pyth.networkOverview
Dynamic
Dynamic is a powerful wallet and authentication infrastructure platform enabling Web3 developers building on HyperEVM to add multi-wallet login, embedded wallets, and progressive onboarding flows to their applications. Dynamic's SDK supports 300+ wallets including MetaMask, Coinbase Wallet, and social login via Google and email, letting users connect to HyperEVM dApps via their preferred authentication method. Its embedded wallet feature provisions non-custodial wallets on behalf of users who do not have an existing wallet, seamlessly bridging the gap between Web2 and Web3 onboarding. For HyperEVM applications targeting both crypto-native and mainstream audiences, Dynamic provides a flexible, developer-friendly SDK with built-in user management, passkey support, and multi-chain session handling—reducing weeks of auth development to hours. Dynamic is trusted by hundreds of Web3 projects globally and is a natural choice for ambitious HyperEVM applications.
Visit websitePyth Network
Pyth Network is a high-fidelity, low-latency oracle that delivers real-world market data to smart contracts on over 50 blockchains including Hyperliquid. Hyperliquid integrates Pyth's price feeds to power its perpetual and spot markets, ensuring reliable mark prices and funding rates. Pyth uses a pull-model where publishers—including major trading firms like Jump Trading and Jane Street—push prices on-chain only when consumed, dramatically reducing costs. With sub-second update frequencies and over 500 price feeds covering crypto, equities, FX, and commodities, Pyth is one of the most widely used oracles across the HyperEVM ecosystem. Its decentralized network of first-party data sources ensures data accuracy and tamper-resistance, making it a critical infrastructure layer for DeFi protocols building on Hyperliquid that require accurate, real-time pricing for collateral valuation, liquidation triggers, and perpetual mark prices.
Visit websiteFeature Comparison
| Feature | ||
|---|---|---|
| Layer | Multi-Layer | Multi-Layer |
| Category | Wallets & Account Abstraction | Oracles |
| Status | Active | Active |
| Launch Year | — | — |
| Website | dynamic.xyz | pyth.network |
| — | — | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | — |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✗ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Category Focus
Dynamic is focused on wallets & account abstraction, while Pyth Network targets oracles. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose Dynamic if you...
- ✓Want a wallets & account abstraction solution on Multi-Layer
- ✓Need: Developer-friendly wallet and auth SDK enabling smooth HyperEVM dApp onboarding
Choose Pyth Network if you...
- ✓Want a oracles solution on Multi-Layer
- ✓Need: High-fidelity oracle delivering real-world market data to Hyperliquid
Ecosystem Integration
Dynamic
Dynamic operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.
Pyth Network
Pyth Network operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.
Both protocols share the same layer, maximizing composability potential.
Community Verdict
Which do you prefer?
Share your experience with Dynamic or Pyth Network to help others in the Hyperliquid community make better decisions.
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