django-queryset-csv | a CSV exporter for django querysets | CSV Processing library

by azavea Python Version: 1.1.0 License: Non-SPDX

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

kandi X-RAY | django-queryset-csv Summary

django-queryset-csv is a Python library typically used in Utilities, CSV Processing applications. django-queryset-csv has no bugs, it has no vulnerabilities, it has build file available and it has low support. However django-queryset-csv has a Non-SPDX License. You can install using 'pip install django-queryset-csv' or download it from GitHub, PyPI.

a CSV exporter for django querysets

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Quality

Security

License

Reuse

Support

django-queryset-csv has a low active ecosystem.

It has 167 star(s) with 45 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 50 have been closed. On average issues are closed in 114 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-queryset-csv is 1.1.0

Quality

django-queryset-csv has 0 bugs and 10 code smells.

Security

django-queryset-csv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-queryset-csv code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

django-queryset-csv 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

django-queryset-csv releases are available to install and integrate.

Deployable package is available in PyPI.

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

django-queryset-csv saves you 262 person hours of effort in developing the same functionality from scratch.

It has 636 lines of code, 66 functions and 27 files.

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

Top functions reviewed by kandi - BETA

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

Returns a csv response for the given queryset
Yield a CSV file from a queryset
Sanitize a record
Append datestamp to filename
Generate a filename for a given queryset
Validate filename
Write a queryset to a CSV file
Write the given value to the stream
Exclude a dataset
Select rows from a dataset
Return the index of the field
Return the list of person objects
Returns a csv response from a queryset

Get all kandi verified functions for this library.

django-queryset-csv Key Features

No Key Features are available at this moment for django-queryset-csv.

django-queryset-csv Examples and Code Snippets

No Code Snippets are available at this moment for django-queryset-csv.

Community Discussions

Trending Discussions on django-queryset-csv

aerospike python not works under centos 7

QUESTION

aerospike python not works under centos 7

Asked 2018-Nov-27 at 05:28

What i have

running aerospike, test sql go okay
installed client lib on same machine via pip3 install aerospike
python version default for centos 7
...

ANSWER

Answered 2018-Nov-27 at 05:28

You have a namespace collision. The Aerospike client module is called aerospike. Your local script is called aerospike.py. The way imports work is that Python will first look locally, then in repos like pip. Locally it sees your script, and tries to load it again.

Try to rename the script to aerospike-test.py

Source https://stackoverflow.com/questions/53481553

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

Vulnerabilities

No vulnerabilities reported

Install django-queryset-csv

You can install using 'pip install django-queryset-csv' or download it from GitHub, PyPI.
You can use django-queryset-csv 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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