django-datatable | customizable table application of django | Grid library

 by   shymonk Python Version: 0.3.1 License: MIT

kandi X-RAY | django-datatable Summary

kandi X-RAY | django-datatable Summary

django-datatable is a Python library typically used in User Interface, Grid, Bootstrap applications. django-datatable has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install django-datatable' or download it from GitHub, PyPI.

django-datatable is a customizable table application of django based on jquery datatable.
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            kandi-support Support

              django-datatable has a highly active ecosystem.
              It has 168 star(s) with 59 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 27 open issues and 30 have been closed. On average issues are closed in 61 days. There are 9 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of django-datatable is 0.3.1

            kandi-Quality Quality

              django-datatable has 0 bugs and 0 code smells.

            kandi-Security Security

              django-datatable has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              django-datatable code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              django-datatable is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              django-datatable releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              django-datatable saves you 821 person hours of effort in developing the same functionality from scratch.
              It has 1884 lines of code, 155 functions and 46 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed django-datatable and discovered the below as its top functions. This is intended to give you an instant insight into django-datatable implemented functionality, and help decide if they suit your requirements.
            • Return a Column object for the given column
            • Return the number of days in the given month
            • Return the span of the given column
            • Get field name
            • Get the column header attributes for the given index
            • The URL for this request
            • Resolve given context
            • Render an HTML tag
            • Return the attributes as a dictionary
            • Render a static image
            • Render an image
            • Render the table
            • Return the text representation of the item
            • Render widget
            • Render the field
            Get all kandi verified functions for this library.

            django-datatable Key Features

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

            django-datatable Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Solve python ValueError: max_workers must be <= 61 when running pre-commit?
            Asked 2021-Jun-28 at 02:39

            I am using Django to develop an ERP and I want to use pre-commit with my project.

            I have installed pre-commit, black, flake8, flake8-black. and this is my

            ...

            ANSWER

            Answered 2021-Jun-27 at 07:04

            This is a known issue with cpython on windows. The error occurs when black tries to run multiple workers on >60 core machines because the default number of process workers given by os.cpu_count() breaks some other windows limit (number of waiting processes? I'm not quite sure). Black >=19.10b0 has a fix for this, so try updating the version of black in your pre-commit config if you can?

            Source https://stackoverflow.com/questions/68148458

            QUESTION

            Cannot fix django.core.exceptions.AppRegistryNotReady: Apps aren't loaded yet
            Asked 2020-Dec-01 at 13:40

            I run the following line of code on a Docker container:

            ...

            ANSWER

            Answered 2020-Dec-01 at 13:40

            QUESTION

            django datatables manytomany field serverside processing
            Asked 2020-Dec-01 at 11:42

            In my Django project, I am using the datatables.net jquery plugin to display some of the data from my Django models in a table. I am using this to do the serverside processing. Everything works well, but I have to display some data from another table that is linked to the first table using Django's manytomany field. Currently it shows 'appname.Location.None' in every row of the datatable.

            models

            ...

            ANSWER

            Answered 2020-Dec-01 at 11:42

            I had to change my views a bit and the script a bit and I could get it to work.

            views

            Source https://stackoverflow.com/questions/65088372

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

            Vulnerabilities

            No vulnerabilities reported

            Install django-datatable

            You can install using 'pip install django-datatable' or download it from GitHub, PyPI.
            You can use django-datatable 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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            Install
          • PyPI

            pip install django-datatable

          • CLONE
          • HTTPS

            https://github.com/shymonk/django-datatable.git

          • CLI

            gh repo clone shymonk/django-datatable

          • sshUrl

            git@github.com:shymonk/django-datatable.git

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