pyodata
Enterprise ready Python OData client
Decision gist · record as of 2026-08-14
Yes. pyodata is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively. Install it if you need to interact with OData V2 services from Python. Skip it only if you're working exclusively with REST APIs that don't use OData, or if your target service uses a different OData version.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10 and a Session Object compatible with the requests library interface to communicate with an OData service endpoint.
- Low friction: pure Python wheel with a single runtime dependency (lxml).
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache License Version 2.0 (permissive) — Licensed under Apache License Version 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.
last release 2026-07-21 (24 days) · last repo commit 2026-08-11 · 268 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 176,868 downloads/mo, #10,231 on PyPI
Alternatives
Verify before relying
import pyodata
SERVICE_URL = 'http://services.odata.org/V2/Northwind/Northwind.svc/'
# Create instance of OData client
client = pyodata.Client(SERVICE_URL, session_object)- Specific OData V2 protocol features supported (filtering, expansion, pagination details)
- Performance characteristics with large result sets or complex queries
- Authentication mechanisms supported beyond what a Session Object provides
What it is and what it does
pyodata is a Python OData client that wraps the complexity of the OData V2 protocol, letting you work with remote data services through simple Python method calls instead of hand-crafted HTTP requests. It takes a Session Object and a service URL, then provides a Pythonic interface to query and manipulate data exposed by OData endpoints—commonly used with SAP and other enterprise systems that publish OData interfaces.
The library handles protocol marshalling, request construction, and response parsing internally. You supply the session and endpoint; pyodata manages query building and result deserialization. It requires Python >= 3.10 and depends only on lxml for XML parsing, making it lightweight and straightforward to integrate into existing Python applications.
Use it for
- Query SAP systems or other enterprise OData services without writing raw HTTP requests or XML parsing code.
- Build data pipelines that fetch records from OData endpoints and transform them in Python.
- Integrate legacy enterprise APIs using OData V2 into modern Python applications with minimal boilerplate.
- Automate data synchronization between OData-based systems and Python-driven workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
pyodata is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively. Install it if you need to interact with OData V2 services from Python. Skip it only if you're working exclusively with REST APIs that don't use OData, or if your target service uses a different OData version.
Install
pyodata on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (lxml). Actively maintained with a recent release and no known vulnerabilities. Supports Python 3.10 through 3.14.
Requires Python >= 3.10 and a Session Object compatible with the requests library interface to communicate with an OData service endpoint.
License in practice
Licensed under Apache License Version 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.
Quickstart
import pyodata
SERVICE_URL = 'http://services.odata.org/V2/Northwind/Northwind.svc/'
# Create instance of OData client
client = pyodata.Client(SERVICE_URL, session_object)Verify before relying
- Specific OData V2 protocol features supported (filtering, expansion, pagination details)
- Performance characteristics with large result sets or complex queries
- Authentication mechanisms supported beyond what a Session Object provides
Package facts
| License | Apache License Version 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagelxml |
| Maintenance | Actively maintained 24 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 176,868 / month, #10,231 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/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet :: WWW/HTTPTopic :: Software DevelopmentTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pyodata-1.12.0-py3-none-any.whl
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See also odata-query · pyhdb · sharepy · sap-cloud-sdk · ai-api-client-sdk · hana-ml · sap-ai-sdk-base · PowerPlatform-Dataverse-Client · hdbcli · rapidata