--- id: nylas version: "6.17.0" license: MIT license_treatment: permissive maintenance: active --- # nylas — Python bindings for the Nylas API platform. License: permissive · Maintenance: active · Downloads: 370.5K/mo ## What it is and what it does Nylas is the official Python client for the Nylas communications API platform. It abstracts away the complexity of integrating with multiple email, calendar, and meeting providers—Gmail, Microsoft, IMAP, Zoom, and others—behind a unified, type-hinted interface. The SDK exposes resources like messages, calendars, events, and contacts through a consistent CRUD surface (create, find, list, update, destroy) plus provider-specific methods. All request and response models are dataclasses with full type hints, supporting serialization and deserialization via to_dict() and from_dict(). The package is designed for developers building communication features into their applications without managing provider-specific authentication, API differences, or protocol details. It handles OAuth grants (authenticated end-user accounts), error classification with request tracing, and works on standard servers as well as serverless platforms. The SDK includes typed exception handling for API errors, OAuth issues, and timeouts, making it straightforward to build robust integrations. Use it for: - Send, read, and manage email messages and threads across multiple email providers through a single interface. - Sync and manage calendar events, including RSVP handling, across Gmail, Microsoft, and other calendar providers. - Integrate contact management into your application, reading and updating contacts across multiple providers. - Build scheduling or meeting coordination features using the Scheduler and meeting provider integrations. - Implement note-taking or transcription features via the Notetaker API for meeting recordings and summaries. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Official Python SDK for the Nylas API platform, providing client access to email, calendar, contacts, scheduler, and meeting provider integrations. Yes, if you are building communication features (email, calendar, contacts) and want to abstract provider differences. The SDK is actively maintained, permissively licensed, and widely used. High install friction from five dependencies is offset by the complexity it eliminates. Requires Python 3.8+, a Nylas account, and API key setup. ## Install pip install nylas uv add nylas poetry add nylas ## Installing nylas Before you install: High install friction due to five runtime dependencies including cryptography and requests-toolbelt. Package is actively maintained with a release 24 days ago and has been in development since 2015, suggesting stable API surface. License in practice: MIT license permits unrestricted use, modification, and distribution in commercial and private projects with minimal restrictions. Quickstart: pip install nylas import os from nylas import Client nylas = Client( api_key=os.environ["NYLAS_API_KEY"], api_uri=os.environ.get("NYLAS_API_URI", "https://api.us.nylas.com"), ) calendars, request_id, next_cursor = nylas.calendars.list( identifier=os.environ["NYLAS_GRANT_ID"], ) Requires Python 3.8 or later and a valid Nylas API key obtained from the Nylas Dashboard after account signup. Verify before relying: - Whether all provider integrations mentioned in the description are actively supported in version 6.17.0 - Performance characteristics and rate-limiting behavior when handling large volumes of calendar or contact operations - Whether serverless deployment requires special configuration beyond standard pip install ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: high - Maintenance: active - Downloads: 370.5K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags email calendar api sdk, nylas python client, gmail microsoft integration, email provider abstraction, calendar contacts management api, email-integration, calendar-api, multi-provider [View on SkillFed](https://skillfed.io/packages/nylas) · [View on PyPI](https://pypi.org/project/nylas/)