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Dune Analytics vs Pyth Network

Hyperliquid ecosystem comparison · Analytics & Data

Best for Research
Different Focus Areas

Quick Take

Dune Analytics Community-powered data dashboards for tracking the entire Hyperliquid ecosystem 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 Dune Analytics and Pyth Network. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Dune Analytics logo

Dune Analytics

Dune Analytics is the leading community-powered blockchain data platform, where analysts write SQL queries against decoded on-chain data to build public dashboards—with a growing library of Hyperliquid-specific analytics. Hundreds of community-authored Dune dashboards track Hyperliquid metrics including total trading volume, open interest trends, liquidation waterfalls, fee revenue, top traders by P&L, and HLP vault performance. Dune's Spellbook framework enables reusable, cross-chain data models that standardize Hyperliquid data alongside Ethereum and Arbitrum metrics. For researchers, protocol teams, and investors, Dune provides free access to comprehensive Hyperliquid analytics without the need for custom indexing infrastructure. Its collaborative model means new Hyperliquid protocols can have community-built dashboards within days of launch, providing immediate transparency and accountability for the Hyperliquid ecosystem's growing DeFi activity.

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Pyth Network logo

Pyth 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.

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Feature Comparison

FeatureDune Analytics logoDune AnalyticsPyth Network logoPyth Network
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataOracles
StatusActiveActive
Launch Year
Websitedune.compyth.network
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Dune AnalyticsPyth Network
Open Source
Dune Analytics
Not public
Pyth Network
Not public
Verified
Dune Analytics
Unverified
Pyth Network
Unverified
Ecosystem Breadth
Dune Analytics
0 tags
Pyth Network
0 tags
Maturity
Dune Analytics
Unknown
Pyth Network
Unknown

Feature Matrix

FeatureDune Analytics logoDune AnalyticsPyth Network logoPyth Network
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Dune Analytics is focused on analytics & data, while Pyth Network targets oracles. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Dune Analytics if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Community-powered data dashboards for tracking the entire Hyperliquid ecosystem

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

Dune Analytics logo

Dune Analytics

Dune Analytics 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 logo

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 Dune Analytics or Pyth Network to help others in the Hyperliquid community make better decisions.

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