sap-cloud-sdk
SAP Cloud SDK for Python
Decision gist · record as of 2026-08-14
Yes, if you are building on SAP Cloud Platform or integrating with SAP services. The SDK is actively maintained, has no known vulnerabilities, and provides essential abstractions for cloud-native SAP development. The 29 runtime dependencies are substantial but justified for a platform SDK. Not relevant for non-SAP cloud workloads.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or higher.
- Configuration resolution expects either Kubernetes-mounted secrets at $SERVICE_BINDING_ROOT or environment variables prefixed with CLOUD_SDK_CFG___.
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-08-13 (1 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 660,543 downloads/mo, #5,459 on PyPI
Alternatives
Verify before relying
pip install sap-cloud-sdk
from sap_cloud_sdk import destination
# Access configured destinations from SAP Cloud environment
dest = destination.get_destination('my-destination')- Whether all 29 runtime dependencies are always required or if subsets can be installed for specific features
- Performance characteristics and latency overhead of OpenTelemetry instrumentation across multiple frameworks
- Compatibility guarantees with specific SAP Cloud Platform service versions
What it is and what it does
The SAP Cloud SDK for Python is a foundational library that abstracts interaction with SAP's cloud platform services. It provides type-safe, Pythonic interfaces for credential management, object storage, audit logging, observability, and service discovery within the SAP ecosystem. The SDK handles configuration resolution from Kubernetes secrets and environment variables, making it suitable for cloud-native deployments.
The package bundles integrations for multiple frameworks (Django, FastAPI, Flask, Starlette) and observability tools (OpenTelemetry with gRPC and HTTP exporters), along with support for AI/ML workloads through AI Core and agent decorators. It depends on cryptography, gRPC, Pydantic, and a comprehensive set of OpenTelemetry instrumentation libraries, making it a heavyweight but feature-complete solution for SAP Cloud development.
Use it for
- Build microservices on SAP Cloud Platform with automatic credential and destination resolution from platform bindings.
- Instrument Python applications with OpenTelemetry observability across multiple web frameworks and libraries.
- Implement audit logging and data anonymization for compliance-sensitive workloads in SAP environments.
- Integrate AI/ML models via SAP AI Core with agent decorators and memory management.
- Manage secure object storage and document handling through unified SDK interfaces.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building on SAP Cloud Platform or integrating with SAP services.
The SDK is actively maintained, has no known vulnerabilities, and provides essential abstractions for cloud-native SAP development. The 29 runtime dependencies are substantial but justified for a platform SDK. Not relevant for non-SAP cloud workloads.
Install
sap-cloud-sdk on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with a release from 2026-08-13. Requires Python 3.11 or higher and pulls in 29 runtime dependencies including cryptography, gRPC, OpenTelemetry instrumentation, and Pydantic.
Requires Python 3.11 or higher. Configuration resolution expects either Kubernetes-mounted secrets at $SERVICE_BINDING_ROOT or environment variables prefixed with CLOUD_SDK_CFG___.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install sap-cloud-sdk
from sap_cloud_sdk import destination
# Access configured destinations from SAP Cloud environment
dest = destination.get_destination('my-destination')Verify before relying
- Whether all 29 runtime dependencies are always required or if subsets can be installed for specific features
- Performance characteristics and latency overhead of OpenTelemetry instrumentation across multiple frameworks
- Compatibility guarantees with specific SAP Cloud Platform service versions
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 29 packagescryptographygrpciohatchlinghttpxmcpminioopentelemetry-apiopentelemetry-exporter-otlp-proto-grpcopentelemetry-exporter-otlp-proto-httpopentelemetry-instrumentation-aiohttp-clientopentelemetry-instrumentation-djangoopentelemetry-instrumentation-fastapiopentelemetry-instrumentation-flaskopentelemetry-instrumentation-grpcopentelemetry-instrumentation-httpxopentelemetry-instrumentation-langchainopentelemetry-instrumentation-loggingopentelemetry-instrumentation-requestsopentelemetry-instrumentation-sqlalchemyopentelemetry-instrumentation-starletteopentelemetry-sdkprotobufprotovalidatepydanticpyjwtrequests-oauthlibrequestssetuptoolstraceloop-sdk |
| Maintenance | Actively maintained 1 days since the last release |
| First released | |
| Downloads | 660,543 / month, #5,459 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: sap_cloud_sdk-0.43.2-py3-none-any.whl
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See also sap-ai-sdk-core · ai-core-sdk · sap-ai-sdk-gen · sap-ai-sdk-base · ai-api-client-sdk · pyodata · generative-ai-hub-sdk · ibm-secrets-manager-sdk · azure-keyvault-secrets · alibabacloud-credentials-api