Best Polymarket GitHub Repositories 2026 | Trading Bots, APIs & Tools
The Polymarket ecosystem has spawned dozens of open-source tools on GitHub, from trading bots and market makers to arbitrage scanners and analytics dashboards. With 169+ monthly searches for gamma-api.polymarket.com graphql and 39+ searches for warproxxx/poly-maker, developers are actively looking for code examples and frameworks. This comprehensive 2026 guide reviews the best Polymarket GitHub repositories, analyzing code quality, features, documentation, and real-world usage.
Whether you're building a Polymarket trading bot, looking for API examples, or seeking inspiration for your own project, these repositories represent the best of the Polymarket developer ecosystem. All code has been reviewed and tested for quality, security, and functionality.
π Selection Criteria
- β’ Search Volume: Repos with high GitHub search volume (data from GSC)
- β’ Code Quality: Clean, well-structured, production-ready code
- β’ Documentation: Clear README, setup instructions, examples
- β’ Active Maintenance: Recent commits, maintained by developers
- β’ Real Usage: Repos used by actual traders and developers
Trading Bots and Market Makers
1. warproxxx/poly-maker - Market Making Bot
Search Volume: 39+ monthly searches | Stars: 50+ | Language: Python
π What People Are Actually Searching For
GSC data shows 94+ monthly searches for raw GitHub files from poly-maker:
raw.githubusercontent.com warproxxx poly-maker main.py- 39 searchesraw.githubusercontent.com warproxxx poly-maker .env.example- 29 searchesraw.githubusercontent.com warproxxx poly-maker trading.py- 17 searches
People want to see the actual code. View full repo on GitHub.
The most searched Polymarket trading bot on GitHub, poly-maker is a comprehensive market making framework that provides continuous liquidity to Polymarket markets. With 39+ monthly searches, this repo is the go-to reference for building market making bots.
Key Features
- Orderbook Analysis: Analyzes bid-ask spreads to identify profitable market making opportunities
- Automated Limit Orders: Places and manages limit orders on both sides of the orderbook
- Risk Management: Position limits, maximum exposure controls, and stop-loss mechanisms
- py-clob-client Integration: Uses the official py-clob-client library
- Real-time Monitoring: Tracks positions, P&L, and market conditions
Code Quality Analysis
β Strengths
- β’ Well-structured architecture
- β’ Clear separation of concerns
- β’ Comprehensive error handling
- β’ Good documentation
- β’ Production-ready code
β οΈ Considerations
- β’ Requires significant capital
- β’ Market making involves risk
- β’ Need understanding of orderbook dynamics
Installation and Setup
# Clone repository
git clone https://github.com/warproxxx/poly-maker.git
cd poly-maker
# Install dependencies
pip install -r requirements.txt
# Configure environment variables
cp .env.example .env
# Edit .env with your API keys
# Run the bot
python main.pyArchitecture Overview
The bot follows a modular architecture:
- Market Scanner: Identifies markets with good liquidity and spreads
- Orderbook Analyzer: Calculates optimal bid/ask prices based on current orderbook
- Order Manager: Places, updates, and cancels limit orders
- Risk Manager: Monitors positions and enforces risk limits
- Position Tracker: Tracks P&L and position sizes
2. trust412/polymarket-spike-bot-v1 - Spike Detection Bot
Search Volume: 15+ monthly searches | Stars: 30+ | Language: Python
This bot detects rapid price movements (spikes) on Polymarket and executes trades automatically. It's designed for traders who want to capitalize on sudden market movements, whether from news events, whale activity, or market inefficiencies.
Key Features
- Price Movement Detection: Monitors markets for rapid price changes
- Automated Execution: Places trades immediately when spikes are detected
- Configurable Thresholds: Set minimum spike size and volume requirements
- Multi-Market Monitoring: Tracks multiple markets simultaneously
- Risk Controls: Position size limits and maximum exposure
How It Works
The bot continuously monitors market prices via the Gamma API and WebSocket connections. When a price moves beyond configured thresholds (e.g., 5% in 1 minute), it:
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- Verifies the spike is legitimate (not a small-volume glitch)
- Calculates optimal entry price and size
- Places a market order via CLOB API
- Sets a stop-loss or take-profit order
- Monitors the position and exits when targets are met
Arbitrage Bots
3. carlosibcu/polymarket-kalshi-btc-arbitrage-bot
Search Volume: 7+ monthly searches | Stars: 20+ | Language: Python
π Direct GitHub Search
People search: "polymarket-kalshi-btc-arbitrage-bot" github (7+ impressions). View repo here.
This sophisticated arbitrage bot exploits price differences between Polymarket and Kalshi for Bitcoin price prediction markets. It's one of the few publicly available cross-platform arbitrage bots and demonstrates advanced techniques for finding and executing arbitrage opportunities.
Arbitrage Strategy
The bot implements two types of arbitrage:
1. Cross-Platform Arbitrage
Same BTC price bracket priced differently on Polymarket vs Kalshi. Buy cheaper on one platform, sell expensive on the other.
2. Timing Arbitrage
Exploits price movements during high volatility periods when markets move at different speeds.
Technical Implementation
The bot uses multiple APIs simultaneously:
- Polymarket Gamma API: Fetches market data and prices
- Polymarket CLOB API: Places orders on Polymarket
- Kalshi API: Fetches prices and places orders on Kalshi
- WebSocket Connections: Real-time price monitoring
Code Example: Price Comparison
async def find_arbitrage_opportunities():
"""Find price differences between Polymarket and Kalshi."""
# Fetch BTC markets from both platforms
poly_markets = await fetch_polymarket_btc_markets()
kalshi_markets = await fetch_kalshi_btc_markets()
opportunities = []
for poly_market in poly_markets:
# Match by price bracket
kalshi_match = find_matching_kalshi_market(
poly_market, kalshi_markets
)
if kalshi_match:
poly_price = float(poly_market['outcome_prices'][0])
kalshi_price = float(kalshi_match['price'])
spread = abs(poly_price - kalshi_price)
# Minimum 2% spread after fees
if spread > 0.02:
opportunities.append({
'poly_market': poly_market,
'kalshi_market': kalshi_match,
'spread': spread,
'profit_pct': (spread * 100) - (0.6) # Fees: 0.3% each side
})
return sorted(opportunities, key=lambda x: x['profit_pct'], reverse=True)β οΈ Arbitrage Risks
- β’ Execution Risk: Prices can move between detection and execution
- β’ Counterparty Risk: Platform issues or delays can prevent fills
- β’ Settlement Risk: Markets may resolve differently if criteria differ
- β’ Capital Requirements: Need funds on both platforms simultaneously
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API Clients and Wrappers
4. polymarket/py-clob-client - Official Python Client
Stars: 100+ | Language: Python | Status: Officially maintained
The official Python client for Polymarket's CLOB API, maintained by Polymarket themselves. This is the recommended library for building Python trading bots and tools.
Key Features
- Complete API Coverage: All CLOB API endpoints supported
- Authentication: L1 and L2 authentication methods
- Type Safety: Strong typing with type hints
- Documentation: Comprehensive docs and examples
- Active Development: Regularly updated with new features
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 py-clob-client examples guide and Python tutorial.
5. Community API Wrappers
Several community-maintained wrappers provide additional features:
aiopolymarket - Async Python Client
Fully async client with built-in retry logic and custom exceptions. See our aiopolymarket guide for details.
GitHub: Various community implementations
JavaScript/TypeScript Clients
Several Node.js implementations available. See our JavaScript API tutorial for examples.
Analytics and Data Tools
6. Portfolio Trackers
Several open-source portfolio trackers help monitor positions across markets:
- Real-time P&L tracking across all active positions
- Historical performance analysis and statistics
- Market alerts for price movements and new markets
- Export capabilities for tax reporting and analysis
While specific repos vary, most use the Gamma API to fetch market data and CLOB API to track positions. See our portfolio tracker guide for recommendations.
How to Choose the Right Repository
With dozens of repositories available, here's how to select the best one for your needs:
For Trading Bots
- Start with poly-maker if you want market making - it's the most complete and well-documented
- Use spike-bot as reference for price monitoring and automated execution
- Study arbitrage bot for cross-platform strategies and advanced techniques
For API Integration
- Python: Use official py-clob-client + Gamma API directly
- JavaScript: Use fetch/axios with our JavaScript tutorial
- Rust: See our Rust API guide for examples
For Learning
- Read multiple repos to understand different approaches
- Start simple: Begin with basic API examples before advanced bots
- Test thoroughly: Always test on small amounts before deploying capital
Security Best Practices
When using or forking these repositories, follow these security guidelines:
π Critical Security Rules
- β’ Never commit API keys or private keys to git repositories
- β’ Use environment variables for sensitive credentials
- β’ Review code thoroughly before running with real funds
- β’ Start with test accounts or small amounts
- β’ Implement rate limiting to avoid API bans
- β’ Use hardware wallets for large amounts
- β’ Keep dependencies updated to patch security vulnerabilities
Contributing to Open Source
These repositories thrive on community contributions. Ways to contribute:
- Report bugs: File issues with detailed reproduction steps
- Suggest features: Propose improvements that would benefit the community
- Submit PRs: Fix bugs, add features, improve documentation
- Write documentation: Help others understand and use the tools
- Share results: Document your usage and results (anonymized)
Additional Resources
Beyond these repositories, check out these comprehensive guides:
- Complete Python Tutorial - Step-by-step bot building guide
- JavaScript API Tutorial - Node.js and browser examples
- CLOB API Reference - Complete endpoint documentation
- Gamma API Guide - Market data API reference
- Trading Bot Guide - Complete bot development walkthrough
- Arbitrage Strategies - Finding and executing arbs
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Frequently Asked Questions
warproxxx/poly-maker is the most searched Polymarket trading bot with 94+ monthly searches for raw code files. It's a comprehensive market making framework with orderbook analysis, automated limit orders, and risk management features.
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