python-alfresco-api
Python Client for all Alfresco Content Services REST APIs, with Pydantic v2 Models, and Event Support
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has zero known vulnerabilities, supports modern Python versions (3.10–3.14), carries a permissive Apache-2.0 license, and installs with low friction. It covers a complete API surface for Alfresco integration and is well-suited for production use in document management, AI/LLM workflows, and event-driven automation. Install it if you need a Python client for Alfresco Content Services.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; an Alfresco Content Services instance (local or remote) to connect to.
- Low friction installation with a pure-Python wheel and 12 common runtime dependencies.
- Active maintenance with a release 8 days ago.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most production deployments.
last release 2026-08-06 (8 days) · last repo commit 2026-08-06 · 9 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 277,121 downloads/mo, #8,152 on PyPI
Alternatives
Verify before relying
pip install python-alfresco-api
from python_alfresco_api import ClientFactory
factory = ClientFactory(
base_url="http://localhost:8080",
username="admin",
password="admin"
)
core_client = factory.create_core_client()- Whether all 7 Alfresco REST APIs are fully implemented or if some endpoints remain incomplete.
- Performance characteristics and rate-limiting behavior under high concurrency.
- Compatibility with specific Alfresco versions beyond the Community 25.2 / 26.1 mentioned in docs.
What it is and what it does
This is a modern Python client for Alfresco Content Services that wraps all 7 Alfresco REST APIs (Auth, Core, Discovery, Search, Workflow, Model, Search SQL) into a unified, type-safe interface. It uses a dual model architecture—attrs-based models for raw API responses and separate Pydantic models for AI/LLM integration—and supports both synchronous and asynchronous calls. The library includes a factory pattern for centralized authentication and configuration, making it straightforward to create individual clients that share a single session.
The package is built for developers integrating Alfresco into Python applications, particularly those working with AI frameworks like LangChain or LlamaIndex, or building MCP servers. It includes ActiveMQ (STOMP) event support so your Python app can listen to repository change events, and it works with Alfresco running in Docker or on-premises. All 12 runtime dependencies are included by default—no optional extras needed—and the library is actively maintained with comprehensive documentation and test coverage.
Use it for
- Building AI/LLM applications that query and manage documents in Alfresco using Pydantic models.
- Creating MCP servers that expose Alfresco content and workflows to language models.
- Automating document management workflows by programmatically creating, updating, and searching content.
- Listening to Alfresco repository events in real-time via ActiveMQ to trigger downstream Python processes.
- Integrating Alfresco with Python-based data pipelines or ETL workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has zero known vulnerabilities, supports modern Python versions (3.10–3.14), carries a permissive Apache-2.0 license, and installs with low friction. It covers a complete API surface for Alfresco integration and is well-suited for production use in document management, AI/LLM workflows, and event-driven automation. Install it if you need a Python client for Alfresco Content Services.
Install
python-alfresco-api on PyPI
Before you install
Low friction installation with a pure-Python wheel and 12 common runtime dependencies. Active maintenance with a release 8 days ago. Supports Python 3.10 through 3.14.
Requires Python 3.10 or later; an Alfresco Content Services instance (local or remote) to connect to.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most production deployments.
Quickstart
pip install python-alfresco-api
from python_alfresco_api import ClientFactory
factory = ClientFactory(
base_url="http://localhost:8080",
username="admin",
password="admin"
)
core_client = factory.create_core_client()Verify before relying
- Whether all 7 Alfresco REST APIs are fully implemented or if some endpoints remain incomplete.
- Performance characteristics and rate-limiting behavior under high concurrency.
- Compatibility with specific Alfresco versions beyond the Community 25.2 / 26.1 mentioned in docs.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 12 packagesaiohttpattrshttpxpydanticpython-dateutilpyyamlrequests-oauthlibrequestsstomp-pytyping-extensionsujsonyarl |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 277,121 / month, #8,152 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Office/Business :: Office SuitesTopic :: Software Development :: Libraries :: Python Modules |
Evidence: python_alfresco_api-1.2.1-py3-none-any.whl
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