python-odata | A simple library for read/write access to OData services | SOAP library
kandi X-RAY | python-odata Summary
kandi X-RAY | python-odata Summary
python-odata is a Python library typically used in Web Services, SOAP applications. python-odata has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
A simple library for read/write access to OData services
A simple library for read/write access to OData services
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Quality
Security
License
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Support
python-odata has a low active ecosystem.
It has 69 star(s) with 53 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
There are 21 open issues and 14 have been closed. On average issues are closed in 55 days. There are 12 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of python-odata is v0.2
Quality
python-odata has 0 bugs and 0 code smells.
Security
python-odata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
python-odata code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
python-odata is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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python-odata releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed python-odata and discovered the below as its top functions. This is intended to give you an instant insight into python-odata implemented functionality, and help decide if they suit your requirements.
- Return entity sets
- Check if the given type is a collection type
- Escape value
- Creates a collection of Entity objects
- Return one result
- Return a list of all objects
- Create a new Entity state
- Get a single result by primary key
- Saves an entity
- Execute a POST request
- Insert a new entity into the entity set
- Clean a new entity
- Delete entity
- Execute a DELETE request
- Sets a new query to skip
- Creates a new query
- Prints a description of the entity
- URL to the OData service
- Execute http GET
- Generate a unique id
- Call an action
- Execute HTTP POST
Get all kandi verified functions for this library.
python-odata Key Features
No Key Features are available at this moment for python-odata.
python-odata Examples and Code Snippets
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from odata import ODataService
url = 'http://services.odata.org/V4/Northwind/Northwind.svc/'
Service = ODataService(url, reflect_entities=True)
Supplier = Service.entities['Supplier']
query = Service.query(Supplier)
query = query.limit(2)
query = qu
Community Discussions
Trending Discussions on python-odata
QUESTION
OData example not working (Python)
Asked 2017-Sep-06 at 12:19
I'm running this code that I got from here
https://tuomur-python-odata.readthedocs.io/en/latest/#what-is-this
...ANSWER
Answered 2017-Sep-06 at 12:19Download the project from GitHub, run python setup.py install, sudo if necessary.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-odata
You can download it from GitHub.
You can use python-odata like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use python-odata like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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