We're launching the official Aperiodic Python SDK — making it easier than ever to access our market microstructure data directly from Python.
Features
- Polars integration — All data returned as polars DataFrames for blazing-fast analytics
- Simple authentication — Configure your API key once and access all datasets
- Lazy loading — Stream data efficiently without loading everything into memory
- Type hints — Full type annotations for IDE support and better developer experience
Quick Start
from aperiodic import Client
client = Client(api_key="your-api-key")
# Fetch OHLCV data
df = client.ohlcv(
exchange="binance",
symbol="BTC-USDT",
interval="1h",
start="2024-01-01",
end="2025-03-25",
)
Install via pip:
pip install aperiodic
The SDK handles authentication, pagination, and parquet deserialization automatically — so you can focus on your research.