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Hyperliquid Python SDK vs Valantis

Hyperliquid ecosystem comparison · SDKs & Developer Tools

Ecosystem Pick
Different Focus AreasOpen Source Edge: Hyperliquid Python SDK

Quick Take

Hyperliquid Python SDK Official Python SDK for Hyperliquid API integration on HyperCore, while Valantis Modular DEX with LST-optimized pools — acquired StakedHYPE on HyperEVM. They serve different niches in the Hyperliquid ecosystem.

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

Overview

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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Valantis logo

Valantis

Valantis is a modular decentralized exchange protocol deployed on HyperEVM, designed to give liquidity providers and protocol developers unprecedented flexibility in how AMMs are constructed and customized. At its core is STEX — a next-generation AMM architecture purpose-built for liquid staking token pools, solving the persistent problem of capital inefficiency and high slippage that plagues standard AMMs when handling correlated or yield-bearing assets. Valantis separates exchange logic into composable modules: sovereign pools, HOT (Hybrid Order Type) AMMs, and pluggable liquidity management strategies — allowing developers to integrate custom pricing curves, fee tiers, and rebalancing logic without forking the entire protocol stack. For liquidity providers, this means substantially better capital efficiency and reduced impermanent loss on correlated pairs. For protocols building on HyperEVM, it means a flexible DEX infrastructure layer that can be tailored to specific tokenomics and use cases. Valantis fits naturally into the Hyperliquid ecosystem by providing foundational trading infrastructure that DeFi primitives — lending markets, derivatives vaults, and yield protocols — depend on for deep, efficient, and programmable liquidity.

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Feature Comparison

FeatureHyperliquid Python SDK logoHyperliquid Python SDKValantis logoValantis
LayerHyperCoreHyperEVM
CategorySDKs & Developer ToolsDecentralized Exchanges
StatusActiveActive
Launch Year20232025
Websitehyperliquid.xyzvalantis.xyz
Twitter@HyperliquidX@ValantisLabs
GitHubOpen Source Not public
Verified✓ Verified✓ Verified
Tags
SDKPythonAPIdeveloper-tools
DEXmodularLST-poolsSTEX

Score Comparison

Hyperliquid Python SDKValantis
Open Source
Hyperliquid Python SDK
Public repo
Valantis
Not public
Verified
Hyperliquid Python SDK
Verified
Valantis
Verified
Ecosystem Breadth
Hyperliquid Python SDK
4 tags
Valantis
4 tags
Maturity
Hyperliquid Python SDK
Since 2023
Valantis
Since 2025

Feature Matrix

FeatureHyperliquid Python SDK logoHyperliquid Python SDKValantis logoValantis
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

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

Category Focus

Hyperliquid Python SDK is focused on sdks & developer tools, while Valantis targets decentralized exchanges. They serve different user needs within the Hyperliquid ecosystem.

Unique Features

Hyperliquid Python SDK is distinguished by: SDK, Python, API, developer-tools. Valantis stands out with: DEX, modular, LST-pools, STEX.

Market Timing

Hyperliquid Python SDK launched first in 2023, giving it a head start. Valantis 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. Valantis does not have a public codebase.

When to Use Each

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

Choose Valantis if you...

  • Want a decentralized exchanges solution on HyperEVM
  • Prefer a verified and vetted protocol
  • Need features like DEX and modular
  • Need: Modular DEX with LST-optimized pools — acquired StakedHYPE

Ecosystem Integration

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.

Valantis logo

Valantis

Valantis 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.

Community Verdict

Which do you prefer?

Share your experience with Hyperliquid Python SDK or Valantis to help others in the Hyperliquid community make better decisions.

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