ibm-platform-services
Python client library for IBM Cloud Platform Services
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained, has no security vulnerabilities, low install friction, and covers a broad set of IBM Cloud platform services. It is appropriate for any Python project that needs to interact with IBM Cloud APIs programmatically. The permissive Apache 2.0 license poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or above and an IBM Cloud IAM API key for authentication.
- Low install friction with a single runtime dependency (ibm_cloud_sdk_core).
- Active maintenance with a release 23 days ago and recent commits; supports modern Python versions (3.10–3.14).
License · maintenance · safety
permissive license (permissive) — Released under Apache 2.0, a permissive open-source license with no restrictions on commercial or private use.
last release 2026-07-22 (23 days) · last repo commit 2026-08-11 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 838,561 downloads/mo, #4,927 on PyPI
Alternatives
Verify before relying
pip install ibm-platform-services
from ibm_platform_services.account_management_v4 import AccountManagementV4
account_mgmt = AccountManagementV4(authenticator=...)
accounts = account_mgmt.list_accounts()- Whether all 23 service modules listed in the description are fully functional in version 0.77.0 or if some are deprecated.
- Performance characteristics and rate limits when calling multiple IBM Cloud APIs concurrently.
- Whether the SDK handles automatic token refresh and retry logic for transient failures.
What it is and what it does
The IBM Cloud Platform Services Python SDK is a client library that wraps IBM Cloud's platform service APIs into Python classes and methods. It covers account management, IAM identity and access control, resource provisioning, billing, enterprise management, and platform administration. Developers use it to automate cloud infrastructure tasks, manage user access, track resource usage, and integrate IBM Cloud operations into Python applications.
The SDK depends on ibm_cloud_sdk_core for authentication, HTTP transport, and common SDK patterns. It is actively maintained, supports Python 3.10 through 3.14, and has no known security vulnerabilities. Installation is straightforward via pip with low friction.
Use it for
- Automate IBM Cloud account and enterprise resource provisioning and lifecycle management.
- Programmatically manage IAM access groups, policies, and user identities across IBM Cloud.
- Build billing and usage reporting dashboards that pull data from Enterprise Billing Units and Usage Reports APIs.
- Implement context-based access restrictions and security policies as code.
- Integrate IBM Cloud resource tagging, search, and catalog management into internal tools.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained, has no security vulnerabilities, low install friction, and covers a broad set of IBM Cloud platform services. It is appropriate for any Python project that needs to interact with IBM Cloud APIs programmatically. The permissive Apache 2.0 license poses no restrictions.
Install
ibm-platform-services on PyPI
Before you install
Low install friction with a single runtime dependency (ibm_cloud_sdk_core). Active maintenance with a release 23 days ago and recent commits; supports modern Python versions (3.10–3.14).
Requires Python 3.10 or above and an IBM Cloud IAM API key for authentication.
License in practice
Released under Apache 2.0, a permissive open-source license with no restrictions on commercial or private use.
Quickstart
pip install ibm-platform-services
from ibm_platform_services.account_management_v4 import AccountManagementV4
account_mgmt = AccountManagementV4(authenticator=...)
accounts = account_mgmt.list_accounts()Verify before relying
- Whether all 23 service modules listed in the description are fully functional in version 0.77.0 or if some are deprecated.
- Performance characteristics and rate limits when calling multiple IBM Cloud APIs concurrently.
- Whether the SDK handles automatic token refresh and retry logic for transient failures.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageibm_cloud_sdk_core |
| Maintenance | Actively maintained 23 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 838,561 / month, #4,927 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Libraries :: Python Modules |
Evidence: ibm_platform_services-0.77.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “IBM Cloud API client”
- ibm-platform-servicesPython client library for IBM Cloud Platform Services that provides…
- ibm-cloud-sdk-coreProvides core authentication, HTTP request handling, and service…
- ibm-secrets-manager-sdkA Python client library for programmatically managing secrets stored…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also ibm-cloud-sdk-core · ibm-secrets-manager-sdk · ibm-vpc · ibm-eventnotifications · ibmcloudant · ibm-cos-sdk · ibm-cos-sdk-core · ibm-watson-machine-learning · google-cloud-iam · ibmmq