PERP.WIKI

Dune Analytics vs Chaos Labs

Hyperliquid ecosystem comparison · Analytics & Data

Best for Research
Direct Competitors

Quick Take

Dune Analytics Community-powered data dashboards for tracking the entire Hyperliquid ecosystem on Multi-Layer, while Chaos Labs DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols on Multi-Layer. Both are analytics & data protocols on Multi-Layer, making them direct competitors in the Hyperliquid ecosystem.

Based on public data for Dune Analytics and Chaos Labs. 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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Chaos Labs logo

Chaos Labs

Chaos Labs is a DeFi risk analytics and parameter optimization platform that uses agent-based simulations and quantitative modeling to help protocols manage risk and optimize capital efficiency. Working with major lending protocols, DEXes, and perpetuals markets including projects built on Hyperliquid, Chaos Labs provides data-driven recommendations for collateral factors, liquidation thresholds, and interest rate curves. Its economic security monitoring continuously stress-tests protocol parameters against simulated market scenarios including flash crashes and liquidity crises, alerting teams to potential vulnerabilities before they become exploits. For Hyperliquid ecosystem protocols handling significant TVL, Chaos Labs provides the rigorous quantitative framework necessary to safely scale while maintaining robust risk management. The platform's real-time dashboards give protocol teams and governance participants clear visibility into current risk exposure across all market conditions.

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Feature Comparison

FeatureDune Analytics logoDune AnalyticsChaos Labs logoChaos Labs
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataAnalytics & Data
StatusActiveActive
Launch Year
Websitedune.comchaoslabs.xyz
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Dune AnalyticsChaos Labs
Open Source
Dune Analytics
Not public
Chaos Labs
Not public
Verified
Dune Analytics
Unverified
Chaos Labs
Unverified
Ecosystem Breadth
Dune Analytics
0 tags
Chaos Labs
0 tags
Maturity
Dune Analytics
Unknown
Chaos Labs
Unknown

Feature Matrix

FeatureDune Analytics logoDune AnalyticsChaos Labs logoChaos Labs
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Similar Profiles

Both Dune Analytics and Chaos Labs are analytics & data protocols on Multi-Layer. The key differentiators will be in their specific implementations, UX, liquidity depth, and community traction.

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 Chaos Labs if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols

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.

Chaos Labs logo

Chaos Labs

Chaos Labs 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 Chaos Labs to help others in the Hyperliquid community make better decisions.

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