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go-hyperliquid vs Gauntlet

Hyperliquid ecosystem comparison · SDKs & Developer Tools

Ecosystem Pick
Different Focus Areas

Quick Take

go-hyperliquid Community Golang SDK for the Hyperliquid API with concurrent streaming support on Multi-Layer, while Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for go-hyperliquid and Gauntlet. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

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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Gauntlet

Gauntlet is a financial risk management and protocol optimization platform that uses agent-based market simulations to stress-test DeFi protocols and optimize their economic parameters. As protocols in the Hyperliquid ecosystem scale their TVL in lending markets and liquidity vaults, Gauntlet's simulation engine models adversarial behaviors, market crashes, and oracle manipulation scenarios to identify parameter configurations that maximize capital efficiency while minimizing insolvency risk. Gauntlet provides ongoing risk management services—continuously updating protocol parameters like liquidation bonuses, borrow caps, and collateral ratios in response to changing market conditions. With a track record managing billions in risk across Aave, Compound, and other top DeFi protocols, Gauntlet brings institutional-grade risk science to the growing Hyperliquid DeFi ecosystem. Protocols that engage Gauntlet signal commitment to sustainable, risk-managed growth rather than aggressive TVL maximization at the expense of security.

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Feature Comparison

Featurego-hyperliquidGauntlet
LayerMulti-LayerMulti-Layer
CategorySDKs & Developer ToolsAnalytics & Data
StatusActiveActive
Launch Year
Websitegithub.comgauntlet.xyz
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

go-hyperliquidGauntlet
Open Source
go-hyperliquid
Not public
Gauntlet
Not public
Verified
go-hyperliquid
Unverified
Gauntlet
Unverified
Ecosystem Breadth
go-hyperliquid
0 tags
Gauntlet
0 tags
Maturity
go-hyperliquid
Unknown
Gauntlet
Unknown

Feature Matrix

Featurego-hyperliquidGauntlet
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

go-hyperliquid is focused on sdks & developer tools, while Gauntlet targets analytics & data. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

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

Choose Gauntlet if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM

Ecosystem Integration

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.

Gauntlet

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

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