{"categories":[{"label":"Internet","url":"https://skillfed.io/packages/category/internet/2"}],"enrichment":{"capability":"Client library for Nebius AI Cloud services that provides gRPC-based authentication, resource management, and API communication with async/sync support.","skillfed_tags":["grpc-client","cloud-sdk","async-first"],"use_cases":["Authenticate with Nebius AI Cloud and manage cloud resources programmatically from Python applications.","Build async microservices that communicate with Nebius APIs using gRPC for low-latency, typed service calls.","Integrate Nebius AI services (e.g., model inference, data processing) into existing Python workflows with both sync and async patterns.","Deploy cloud-native applications that require fine-grained control over event loops and executor thread pools.","Migrate from Nebius SDK 0.4.x to 0.5.x by adapting async task handling and loop ownership patterns."],"what_it_does":"Nebius is a Python client library for interacting with Nebius AI Cloud services via gRPC. It handles authentication, manages cloud resources, and provides a unified interface to Nebius APIs. The library supports both synchronous and asynchronous workflows, with version 0.5.x introducing a significant architectural change: each SDK instance now manages its own internal event loop and daemon thread, simplifying deployment in many scenarios but requiring careful handling of loop ownership, exception handlers, and executor threads.\n\nThe SDK depends on cryptography, pyyaml, grpcio, PyJWT, certifi, protobuf, portalocker, aiohttp, and typing-extensions. If you are migrating from 0.4.x, several workflows have changed: `Channel.bg_task()` now returns a reusable awaitable rather than an `asyncio.Task`, synchronous helpers cannot be called from async contexts, and supplied event loops must already be running. The documentation emphasizes thread safety, loop ownership, and proper cleanup to avoid deadlocks and resource leaks.","worth_installing":"Yes, if you are building on Nebius AI Cloud. The SDK is actively maintained, has low install friction, and carries no known vulnerabilities. However, version 0.5.x introduces breaking changes from 0.4.x and requires careful attention to event loop ownership, thread safety, and async/sync boundary crossing. Read the migration guide and threading documentation before upgrading or integrating into existing async applications."},"id":"nebius","links":{"html":"https://skillfed.io/packages/nebius","md":"https://skillfed.io/packages/nebius.md","pypi":"https://pypi.org/project/nebius/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"unclear","name":"nebius","python_support":"supports_current","summary":"Nebius Python SDK"},"popularity":{"monthly_downloads":2383487,"position":3094,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.5.4"}