PERP.WIKI

Hyperliquid Names vs Hyperliquid Python SDK

Hyperliquid ecosystem comparison · Wallets & Account Abstraction

Ecosystem Pick
Different Focus AreasOpen Source Edge: Hyperliquid Python SDKVerified: Hyperliquid Python SDK

Quick Take

Hyperliquid Names .hl domain names for the Hyperliquid ecosystem on HyperEVM, while Hyperliquid Python SDK Official Python SDK for Hyperliquid API integration on HyperCore. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Hyperliquid Names and Hyperliquid Python SDK. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Hyperliquid Names logo

Hyperliquid Names

Hyperliquid Names is an on-chain domain naming service for the Hyperliquid ecosystem, enabling users to register human-readable .hl domains that map to wallet addresses and on-chain identities. Similar to ENS on Ethereum, Hyperliquid Names solves a fundamental UX problem: cryptographic wallet addresses are long, error-prone hex strings that are nearly impossible to remember or share reliably. With a .hl domain, you can send assets to alice.hl instead of a 42-character address — dramatically improving usability and reducing the risk of costly transfer errors. Domains are registered on-chain, ensuring ownership is trustless and censorship-resistant — no central authority can revoke your name. Beyond simple address resolution, .hl domains can store metadata such as social profiles, website links, and avatar images, serving as a portable on-chain identity layer across Hyperliquid applications. As the ecosystem expands with wallets, DEXs, trading interfaces, and social apps, a unified naming layer becomes essential infrastructure for user experience. Early adopters can claim short premium names before they become scarce, and a secondary market for valuable .hl domains is already forming among ecosystem participants.

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Hyperliquid Python SDK logo

Hyperliquid Python SDK

The Hyperliquid Python SDK is the official client library for building applications on Hyperliquid's trading infrastructure using Python. It provides fully typed interfaces for both REST and WebSocket APIs, covering core trading operations including order placement, cancellation, and modification, alongside account management, position queries, funding rate lookups, and real-time market data streaming. Designed for developers and quantitative traders, the SDK abstracts away low-level API complexity — handling authentication, request signing, and connection lifecycle management — so builders can focus on strategy logic rather than infrastructure plumbing. WebSocket subscriptions deliver live order book updates, trade feeds, and account state changes with minimal latency, making the SDK well-suited for algorithmic trading bots, arbitrage strategies, market-making systems, and portfolio monitoring tools. The SDK is actively maintained by the Hyperliquid core team, ensuring compatibility as the protocol evolves and new features ship. For Python developers entering the Hyperliquid ecosystem — whether building trading bots, data pipelines, analytics systems, or DeFi integrations — it provides the fastest, most reliable path from idea to production deployment.

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Feature Comparison

FeatureHyperliquid Names logoHyperliquid NamesHyperliquid Python SDK logoHyperliquid Python SDK
LayerHyperEVMHyperCore
CategoryWallets & Account AbstractionSDKs & Developer Tools
StatusActiveActive
Launch Year20252023
Websitehlnames.xyzhyperliquid.xyz
Twitter@hlnames@HyperliquidX
GitHubNot publicOpen Source
VerifiedUnverified✓ Verified
Tags
domainsidentitynamingENS-style
SDKPythonAPIdeveloper-tools

Score Comparison

Hyperliquid NamesHyperliquid Python SDK
Open Source
Hyperliquid Names
Not public
Hyperliquid Python SDK
Public repo
Verified
Hyperliquid Names
Unverified
Hyperliquid Python SDK
Verified
Ecosystem Breadth
Hyperliquid Names
4 tags
Hyperliquid Python SDK
4 tags
Maturity
Hyperliquid Names
Since 2025
Hyperliquid Python SDK
Since 2023

Feature Matrix

FeatureHyperliquid Names logoHyperliquid NamesHyperliquid Python SDK logoHyperliquid Python SDK
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

Hyperliquid Names operates on HyperEVM (evm smart contracts on hyperliquid l1), while Hyperliquid Python SDK runs on HyperCore (native on-chain perpetual orderbook). This affects composability, transaction speed, and the types of integrations each protocol supports.

Category Focus

Hyperliquid Names is focused on wallets & account abstraction, while Hyperliquid Python SDK targets sdks & developer tools. They serve different user needs within the Hyperliquid ecosystem.

Unique Features

Hyperliquid Names is distinguished by: domains, identity, naming, ENS-style. Hyperliquid Python SDK stands out with: SDK, Python, API, developer-tools.

Market Timing

Hyperliquid Python SDK launched first in 2023, giving it a head start. Hyperliquid Names entered later in 2025, potentially with the benefit of learning from earlier entrants.

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Open Source

Hyperliquid Python SDK has a public GitHub repository, enabling community auditing and contributions. Hyperliquid Names does not have a public codebase.

When to Use Each

Choose Hyperliquid Names if you...

  • Want a wallets & account abstraction solution on HyperEVM
  • Need features like domains and identity
  • Need: .hl domain names for the Hyperliquid ecosystem

Choose Hyperliquid Python SDK if you...

  • Want a sdks & developer tools solution on HyperCore
  • Prefer a verified and vetted protocol
  • Value open-source transparency
  • Need features like SDK and Python
  • Need: Official Python SDK for Hyperliquid API integration

Ecosystem Integration

Hyperliquid Names logo

Hyperliquid Names

Hyperliquid Names operates on HyperEVM (evm smart contracts on hyperliquid l1). As a HyperEVM protocol, it can compose with other EVM-based DeFi primitives and leverage smart contract flexibility.

Hyperliquid Python SDK logo

Hyperliquid Python SDK

Hyperliquid Python SDK operates on HyperCore (native on-chain perpetual orderbook). Running on HyperCore gives it direct access to the native orderbook with minimal latency and maximum throughput.

Community Verdict

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