nebius
Nebius Python SDK
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; async operations require an event loop context or SDK-managed loop.
- Low install friction with a pure-Python wheel and well-established dependencies.
- Active maintenance with a release one day ago suggests ongoing support.
License · maintenance · safety
(unclear) — MIT license permits commercial and private use with minimal restrictions; include the license text and copyright notice in distributions.
last release 2026-08-13 (1 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,383,487 downloads/mo, #3,094 on PyPI
Alternatives
Verify before relying
pip install nebius
from nebius import SDK
sdk = SDK()
await sdk.some_service.some_method(request)- Whether the SDK's internal event loop and executor threading model is compatible with existing async frameworks in your application.
- Specific Nebius API endpoints and services available in version 0.5.4 beyond what the description excerpt covers.
- Performance characteristics and rate limits for gRPC communication with Nebius services.
What it is and 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
nebius on PyPI
Before you install
Low install friction with a pure-Python wheel and well-established dependencies. Active maintenance with a release one day ago suggests ongoing support.
Requires Python 3.10 or later; async operations require an event loop context or SDK-managed loop.
License in practice
MIT license permits commercial and private use with minimal restrictions; include the license text and copyright notice in distributions.
Quickstart
pip install nebius
from nebius import SDK
sdk = SDK()
await sdk.some_service.some_method(request)Verify before relying
- Whether the SDK's internal event loop and executor threading model is compatible with existing async frameworks in your application.
- Specific Nebius API endpoints and services available in version 0.5.4 beyond what the description excerpt covers.
- Performance characteristics and rate limits for gRPC communication with Nebius services.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagescryptographypyyamlgrpcioPyJWTcertifiprotobufportalockeraiohttptyping-extensions |
| Maintenance | Actively maintained 1 days since the last release |
| First released | |
| Downloads | 2,383,487 / month, #3,094 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: nebius-0.5.4-py3-none-any.whl
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See also clarifai-grpc · nexus-rpc · grpc-requests · grpc-interceptor · yandexcloud · py-grpc-prometheus · grpc-google-iam-v1 · eniris · nacos-sdk-python · schematichq