PolymarketPolymarketDeveloper22 min read2026-01-21

Open Source Polymarket Tools: Complete List 2026

AL - Founder of PolyTrack, Polymarket trader & analyst

AL

Founder of PolyTrack, Polymarket trader & analyst

Open Source Polymarket Tools: Complete List 2026 - Developer Guide for Polymarket Traders | PolyTrack Blog

Comprehensive directory of open-source Polymarket tools for 2026. This guide covers trading bots, API clients, analytics dashboards, portfolio trackers, market scanners, and developer utilities. All repositories have been reviewed for code quality, documentation, and real-world usage. Whether you're building a trading bot, analyzing market data, or integrating Polymarket into your application, this directory helps you find the right tools.

With 169+ monthly searches for gamma-api.polymarket.com graphql and 94+ searches for GitHub code files, developers are actively building on Polymarket. This directory organizes the best open-source tools by category, making it easy to find exactly what you need.

📊 Directory Organization

  • • Trading Bots: Automated trading systems and market makers
  • • API Clients: Official and community-maintained API wrappers
  • • Analytics Tools: Data analysis, portfolio tracking, and market scanners
  • • Developer Utilities: Helper libraries, testing tools, and frameworks
  • • Web Interfaces: Frontend applications and dashboards

Trading Bots and Market Makers

Automated trading bots are the most searched category, with 39+ monthly searches for warproxxx/poly-maker alone. These bots implement various strategies from market making to arbitrage.

1. warproxxx/poly-maker - Market Making Bot

Search Volume: 39+ monthly searches | GitHub Stars: 50+ | Language: Python | Strategy: Market Making

The most popular Polymarket trading bot on GitHub. Provides liquidity on both sides of the orderbook to capture bid-ask spreads. Comprehensive implementation with orderbook analysis, risk management, and position tracking.

Key Features

  • Orderbook analysis for spread detection
  • Automated limit order placement and management
  • Risk management with position limits and stop-loss
  • Real-time P&L tracking
  • Production-ready error handling

Installation: git clone https://github.com/warproxxx/poly-maker.git

For detailed code review, see our Polymarket trading bot code review.

2. trust412/polymarket-spike-bot-v1 - Spike Detection Bot

Search Volume: 15+ monthly searches | GitHub Stars: 30+ | Language: Python | Strategy: Momentum/Spike Detection

Detects rapid price movements (spikes) and executes trades automatically. Ideal for capitalizing on news events, whale activity, or market inefficiencies. Includes volume verification to prevent false signals.

Key Features

  • Real-time price monitoring via WebSocket
  • Configurable spike thresholds (default 5% in 60 seconds)
  • Volume verification to filter false signals
  • Automated trade execution with stop-loss/take-profit
  • Multi-market monitoring

3. carlosibcu/polymarket-kalshi-btc-arbitrage-bot - Cross-Platform Arbitrage

Search Volume: 7+ monthly searches | GitHub Stars: 20+ | Language: Python | Strategy: Cross-Platform Arbitrage

Exploits price differences between Polymarket and Kalshi for BTC price prediction markets. Implements risk-free arbitrage by buying the cheaper side on one platform and selling the more expensive side on another.

Key Features

  • Simultaneous order execution on both platforms
  • Arbitrage opportunity detection (combined cost < $1)
  • Position sizing based on profit margin
  • Error handling for partial fills
  • Multi-platform API integration

4. Additional Trading Bots

Copy Trading Bots

Various implementations that copy trades from successful wallets. See our Polymarket copy trading guide for strategies.

AI Trading Bots

Machine learning-based bots using price prediction models. See our Polymarket AI trading bot guide for implementation details.

Market Making Frameworks

Reusable frameworks for building custom market making bots. Most are Python-based with modular architecture.

💡 Want to Track Bot Performance?

PolyTrack Pro identifies bot wallets by analyzing trading patterns: consistent execution times, specific strategies, and automated behavior. See which bots are most profitable and learn from their strategies. Free users can only track 3 wallets - upgrade to see unlimited bot wallets with real-time alerts and P&L tracking.

API Clients and Wrappers

API clients provide high-level interfaces to Polymarket's APIs, abstracting away authentication, request formatting, and error handling. Essential for building any Polymarket application.

1. polymarket/py-clob-client - Official Python Client

GitHub Stars: 100+ | Language: Python | Status: Officially maintained by Polymarket

The official Python client for Polymarket's CLOB API. This is the recommended library for building Python trading bots and tools. Includes complete API coverage, type safety, and comprehensive documentation.

Installation

# Install from PyPI
pip install py-clob-client

# Or from source
git clone https://github.com/polymarket/py-clob-client.git
cd py-clob-client
pip install -e .

For complete usage examples, see our Polymarket py-clob-client examples guide and Polymarket Python tutorial. Official documentation is available on GitHub and the CLOB API reference.

2. polymarket/js-clob-client - Official JavaScript Client

GitHub Stars: 50+ | Language: TypeScript/JavaScript | Status: Officially maintained

Official JavaScript/TypeScript client for Node.js and browser environments. Full TypeScript support with type definitions for all API responses.

Installation

# Install from npm
npm install @polymarket/clob-client

# Or from source
git clone https://github.com/polymarket/js-clob-client.git
cd js-clob-client
npm install

See our Polymarket JavaScript API tutorial for complete examples. Official documentation is available on GitHub.

3. aiopolymarket - Async Python Client

Language: Python | Status: Community-maintained

Fully async Python client with built-in retry logic, custom exceptions, and efficient network usage. Ideal for high-volume applications requiring concurrent API calls.

Key Features

  • Fully async/await support
  • Built-in exponential backoff retry logic
  • Custom exception types for better error handling
  • Connection pooling for efficient network usage
  • Type hints throughout

See our aiopolymarket async Python client guide for complete documentation and examples.

4. Rust API Clients

Several Rust implementations exist for high-performance trading bots. Most use reqwest for HTTP and tokio-tungstenite for WebSocket connections.

See our Polymarket Rust API guide for implementation examples and best practices.

Analytics and Data Tools

Analytics tools help traders understand market dynamics, track performance, and identify opportunities. These tools use the Polymarket Gamma API for market data and the Polymarket CLOB API for position tracking. See the official gamma-api.polymarket.com endpoint documentation.

1. Portfolio Trackers

Portfolio trackers monitor positions across all markets, calculate real-time P&L, and provide historical performance analysis. Most implementations include:

  • Real-time P&L tracking: Calculate profit/loss for all open positions
  • Historical performance: Win rate, average profit, total P&L over time
  • Market alerts: Notifications for price movements and new markets
  • Export capabilities: CSV export for tax reporting and analysis
  • Position management: View all positions in one dashboard

See our Polymarket portfolio tracker guide for recommendations and implementation details.

2. Whale Tracking Tools

Whale tracking tools monitor large wallet movements and identify profitable traders. These tools analyze on-chain data to track positions, P&L, and trading patterns.

Key Features

  • Real-time wallet monitoring
  • P&L calculation and win rate tracking
  • Trade pattern analysis
  • Alert system for large trades
  • Historical performance data

PolyTrack is the most comprehensive whale tracking tool, with real-time alerts, Dev Picks (curated alpha wallets), and advanced analytics. See our whale tracking guide for more tools and strategies.

3. Market Scanners

Market scanners identify trading opportunities by analyzing market data in real-time. Common use cases include:

  • Arbitrage finders: Detect price differences between markets or platforms
  • Spread scanners: Find markets with favorable bid-ask spreads
  • Volume scanners: Identify markets with unusual volume or activity
  • Price movement scanners: Detect rapid price changes and spikes
  • Liquidity scanners: Find markets with sufficient depth for large orders

4. Data Analysis Tools

Data analysis tools help traders understand market trends, historical patterns, and statistical relationships. These tools typically use:

  • GraphQL Subgraph: Historical on-chain data via Polymarket Subgraph
  • Gamma API: Real-time market data and metadata
  • CSV exports: Custom analysis in Python, R, or Excel
  • Jupyter notebooks: Interactive data analysis and visualization

Developer Utilities

Developer utilities provide helper functions, testing tools, and frameworks to speed up development. These tools abstract common patterns and reduce boilerplate code.

1. Order Signing Libraries

Order signing is required for all CLOB API orders. Several libraries provide EIP-712 signing functionality:

  • Python: Included in py-clob-client, also available as standalone libraries
  • JavaScript: Included in js-clob-client, uses ethers.js for signing
  • Rust: Custom implementations using ethers-rs or alloy

2. WebSocket Clients

WebSocket clients provide real-time price feeds and orderbook updates. See our Polymarket WebSocket tutorial for implementation examples.

WebSocket Endpoints

  • ws-subscriptions-clob.polymarket.com/ws/market - Market data
  • ws-subscriptions-clob.polymarket.com/ws/orderbook - Orderbook updates
  • ws-subscriptions-clob.polymarket.com/ws/trades - Trade feed

3. Testing Frameworks

Testing frameworks help developers test their bots and tools without risking real funds:

  • Paper trading: Simulate trades without real execution
  • Mock API servers: Test against local API implementations
  • Backtesting frameworks: Test strategies against historical data
  • Unit testing: Test individual components in isolation

4. GraphQL Query Builders

GraphQL query builders simplify querying the Polymarket Subgraph and Gamma API. These tools provide type-safe query construction and response parsing.

Web Interfaces and Dashboards

Web interfaces provide user-friendly dashboards for monitoring positions, analyzing markets, and managing trades. Most are built with React, Next.js, or Vue.js.

1. Trading Dashboards

Trading dashboards provide real-time market data, order placement, and position management. Features typically include:

  • Real-time price charts and orderbook visualization
  • Order placement interface (limit, market, stop-loss)
  • Position tracking and P&L calculation
  • Market search and filtering
  • Trade history and performance analytics

2. Analytics Dashboards

Analytics dashboards focus on data visualization and market analysis. Common features include:

  • Market volume and liquidity charts
  • Price movement analysis and trends
  • Whale activity tracking and alerts
  • Historical performance metrics
  • Customizable data exports

How to Choose the Right Tool

With dozens of open-source tools available, here's how to select the best one for your needs:

For Trading Bots

  • Market Making: Start with warproxxx/poly-maker - most complete and well-documented
  • Momentum Trading: Use trust412/polymarket-spike-bot as reference for price monitoring
  • Arbitrage: Study carlosibcu/polymarket-kalshi-btc-arbitrage-bot for cross-platform strategies
  • Custom Strategies: Fork any bot and modify for your specific needs

For API Integration

  • Python: Use official py-clob-client or aiopolymarket for async
  • JavaScript/TypeScript: Use official js-clob-client
  • Rust: Build custom client using reqwest and tokio-tungstenite
  • Other Languages: Use REST API directly or build custom wrapper

For Analytics

  • Whale Tracking: Use PolyTrack for comprehensive tracking
  • Portfolio Management: Build custom tracker using Gamma API and CLOB API
  • Data Analysis: Use GraphQL Subgraph for historical data, Gamma API for real-time
  • Market Scanning: Build custom scanner using WebSocket feeds

Getting Started

Ready to start building? Here's a recommended learning path:

  1. Learn the APIs: Start with our Polymarket Gamma API guide and Polymarket CLOB API reference
  2. Choose a language: Python is easiest to start, Rust for performance. See our Polymarket Python tutorial or Polymarket Rust API guide
  3. Study existing bots: Review Polymarket trading bot code reviews and best Polymarket GitHub repositories
  4. Build a simple bot: Start with a basic market scanner or copy trading bot
  5. Iterate and improve: Add features like risk management, backtesting, and monitoring

💡 Need Help Tracking Your Bot's Performance?

PolyTrack Pro provides real-time tracking of bot wallets, including P&L, win rates, and trade patterns. See which strategies are most profitable and optimize your bot accordingly. Free users can only track 3 wallets - upgrade to see unlimited bot wallets with advanced analytics, alerts, and CSV export.

Additional Resources

For more information on building Polymarket tools, see our comprehensive guides:

Conclusion

The Polymarket open-source ecosystem is thriving, with tools for every use case from trading bots to analytics dashboards. Whether you're building a simple portfolio tracker or a sophisticated HFT system, there's likely an open-source tool that can help you get started.

Start with the official API clients, study existing bot implementations, and build your own tools on top of this solid foundation. The community is active and helpful, so don't hesitate to contribute back or ask questions.

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Frequently Asked Questions

The most popular Polymarket trading bots are warproxxx/poly-maker (market making, 39+ searches/month), trust412/polymarket-spike-bot-v1 (spike detection, 15+ searches/month), and carlosibcu/polymarket-kalshi-btc-arbitrage-bot (cross-platform arbitrage, 7+ searches/month). All are Python-based and well-documented.

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