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Dune Analytics vs go-hyperliquid

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 go-hyperliquid Community Golang SDK for the Hyperliquid API with concurrent streaming support on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Dune Analytics and go-hyperliquid. 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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go-hyperliquid

go-hyperliquid is a community-developed Golang SDK for the Hyperliquid API, providing idiomatic Go bindings for trading, market data, and account management on Hyperliquid. Built with Go's concurrency model in mind, the SDK leverages goroutines and channels for efficient WebSocket streaming and concurrent order management—making it well-suited for high-throughput trading systems written in Go. The library covers the full Hyperliquid API including REST endpoints for order placement, account queries, and historical data, as well as WebSocket subscriptions for real-time order book updates and trade feeds. With typed request and response structures, comprehensive error handling, and context-aware API calls, go-hyperliquid provides the idiomatic Go developer experience that the Hyperliquid ecosystem previously lacked, enabling the large Go trading infrastructure community to build on Hyperliquid. The SDK has active contributors and is maintained alongside the official Python and Rust SDKs.

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Feature Comparison

FeatureDune Analytics logoDune Analyticsgo-hyperliquid
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataSDKs & Developer Tools
StatusActiveActive
Launch Year
Websitedune.comgithub.com
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Dune Analyticsgo-hyperliquid
Open Source
Dune Analytics
Not public
go-hyperliquid
Not public
Verified
Dune Analytics
Unverified
go-hyperliquid
Unverified
Ecosystem Breadth
Dune Analytics
0 tags
go-hyperliquid
0 tags
Maturity
Dune Analytics
Unknown
go-hyperliquid
Unknown

Feature Matrix

FeatureDune Analytics logoDune Analyticsgo-hyperliquid
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Dune Analytics is focused on analytics & data, while go-hyperliquid targets sdks & developer tools. 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 go-hyperliquid if you...

  • Want a sdks & developer tools solution on Multi-Layer
  • Need: Community Golang SDK for the Hyperliquid API with concurrent streaming support

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.

go-hyperliquid

go-hyperliquid 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 go-hyperliquid to help others in the Hyperliquid community make better decisions.

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