{"repo":"cutemarkets/cutemarkets-python","free":true,"listed":false,"github":"https://github.com/cutemarkets/cutemarkets-python","clone":"git clone https://github.com/cutemarkets/cutemarkets-python.git","description":"Official Python client for the CuteMarkets options market-data API. Sync + async, typed Pydantic models, auto-pagination, typed errors, and rate-limit introspection.","language":"Python","stars":61,"topics":["options","options-trading","api-client","async","asyncio","cutemarkets","finance","fintech","httpx","market-data"],"license":"MIT","category":"api-integrations-sdks","readme_excerpt":"CuteMarkets Python SDK for Real-Time and Historical Options Data The official Python options API client for CuteMarkets. Use it to query real-time and historical options data from Python, including options chain API snapshots, historical contracts with as of , quotes, trades, aggregates, expirations, and ticker search. cutemarkets wraps the CuteMarkets v1 REST API in a typed, namespaced, Pythonic interface. Sync and async clients share the same method surface, response models are pydantic v2 classes that preserve the raw payload on .raw , every list endpoint ships with both one-page and auto-paginating variants, and every error path maps to a specific exception class so you can handle plan gating, rate limiting, and missing resources cleanly. Quick links: - Get API key - Read docs - Explore cutebacktests - Explore cute-intraday-option-strats --- Table of contents 1. Use Cases 2. Explore Examples 3. Features 4. Why this SDK instead of raw HTTP requests 5. Installation 6. Quick start 7. Authentication 8. Client options 9. Resource reference 10. Models 11. Pagination 12. Filters and range queries 13. Dates, enums, booleans 14. Errors 15. Rate limits 16. Async usage 17. Recipes 18. Testing your integration 19. Versioning and compatibility 20. Development 21. License --- Use Cases - Build an options chain scanner for liquid contracts and spread filters. - Reconstruct historical contracts with as of for backtests and event studies. - Estimate implied move around earnings from the A","default_branch":null,"files":null,"tree":[],"storefront":"/r/cutemarkets","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cutemarkets/cutemarkets-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}