go-hyperliquid vs Gauntlet
Hyperliquid ecosystem comparison · SDKs & Developer Tools
Ecosystem PickQuick 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.
go-hyperliquid
Multi-LayerCommunity Golang SDK for the Hyperliquid API with concurrent streaming support
github.comGauntlet
Multi-LayerFinancial risk modeling and protocol optimization for DeFi protocols on HyperEVM
gauntlet.xyzOverview
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.
Visit websiteGauntlet
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.
Visit websiteFeature Comparison
| Feature | go-hyperliquid | Gauntlet |
|---|---|---|
| Layer | Multi-Layer | Multi-Layer |
| Category | SDKs & Developer Tools | Analytics & Data |
| Status | Active | Active |
| Launch Year | — | — |
| Website | github.com | gauntlet.xyz |
| — | — | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | — |
Score Comparison
Feature Matrix
| Feature | go-hyperliquid | Gauntlet |
|---|---|---|
| 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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