predmarket

Predmarket solves a real pain point: prediction markets are spread across Polymarket, Kalshi, and others, each with different APIs, rate limits, and data formats. This library provides a unified Python interface — `MarketClient` for both platforms, standardized order types, and a `Simulator` for agent-based modeling. The library supports Bayesian updating, Monte Carlo simulation, and has documentation for climate-change-related markets specifically. With 9 stars and active updates (last push today), it's seeing genuine adoption. The code quality is solid Python with type hints, proper async support, and clean abstractions. The agent-based simulation module is particularly interesting — you can model how a population of traders with different information sets would resolve market inefficiencies. For researchers and quants doing cross-platform analysis or building forecasting systems that consume prediction market prices, predmarket saves enormous integration effort. The climate-change market focus is a niche but growing area. Not a trading bot itself, but essential infrastructure for anyone building one that spans multiple prediction market platforms.