dynamorm | Python object & relation mapping library | Object-Relational Mapping library

by NerdWalletOSS Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dynamorm Summary

dynamorm is a Python library typically used in Utilities, Object-Relational Mapping, DynamoDB applications. dynamorm has no bugs, it has no vulnerabilities, it has build file available and it has low support. However dynamorm has a Non-SPDX License. You can download it from GitHub.

Python object & relation mapping library for Amazon's DynamoDB service

Support

Quality

Security

License

Reuse

Support

dynamorm has a low active ecosystem.

It has 71 star(s) with 30 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 17 have been closed. On average issues are closed in 160 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dynamorm is current.

Quality

dynamorm has 0 bugs and 206 code smells.

Security

dynamorm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dynamorm code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

dynamorm has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

dynamorm releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 2908 lines of code, 211 functions and 21 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dynamorm and discovered the below as its top functions. This is intended to give you an instant insight into dynamorm implemented functionality, and help decide if they suit your requirements.

Perform an update operation
Build an expression
Get an expression expression
Get the update expression for a key
Stores a unique attribute
Remove None values from a dictionary
Put an item into DynamoDB
Return the table associated with this query
Returns the table associated with the given name
Return a boto3 resource
Return a list of all attribute fields
Return a set of field names for index_name
Create DynamoDB table3
Create the table
Returns the number of records in the DynamoDB
Return a response
Pre - save validation
Called after save
Pre - update validation
Called after a post update
Store items in batch
Validate an object
Get resource

Get all kandi verified functions for this library.

dynamorm Key Features

No Key Features are available at this moment for dynamorm.

dynamorm Examples and Code Snippets

No Code Snippets are available at this moment for dynamorm.

Community Discussions

Trending Discussions on dynamorm

AWS SAM Nested Application in Python with Dynamorm

QUESTION

AWS SAM Nested Application in Python with Dynamorm

Asked 2020-Feb-12 at 02:10

I am using AWS SAM to build a Serverless application. I followed the instruction to build a nested application.

My application structure is basically the following:

...

ANSWER

Answered 2020-Feb-12 at 02:10

According to https://github.com/awslabs/aws-sam-cli/issues/1213, this feature is not supported yet.

In my case, I did 'sam build' on every nested stacks and fix parent yaml template as following (use template.yaml generated by sam build command), then works. But just workaround and not nice way.

Source https://stackoverflow.com/questions/60141845

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dynamorm

You can download it from GitHub.
You can use dynamorm 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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