dj-datatables-view
Django datatables view fork from django-datatables-view
Decision gist · record as of 2026-08-14
Yes, if you are actively using DataTables 1.9–1.11 with Django 2–4 and do not need ongoing maintenance. The package is stable and has no known vulnerabilities, but it is abandoned and will not receive updates for newer Django or DataTables versions. Consider it only for legacy projects or as a reference implementation; for new projects, evaluate whether a modern table library or a fresh DataTables integration is more appropriate.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Django 2+ and Python 3.5+; DataTables library must be configured on the client side to send requests to the view.
- Low install friction with no runtime dependencies.
- However, the package is marked as abandoned with no releases since 2022-02-24 and no recent maintenance activity, so expect no updates or bug fixes going forward.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute this package freely in commercial and private projects.
last release 2022-02-24 (1632 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 238,158 downloads/mo, #8,945 on PyPI
Alternatives
Verify before relying
pip install dj-datatables-view
from dj_datatables_view.base_datatable_view import BaseDatatableView
class OrderListJson(BaseDatatableView):
model = MyModel
columns = ['number', 'user', 'state']
order_columns = ['number', 'user', 'state']- Whether the package works with DataTables versions beyond 1.11.* or modern DataTables 2.x
- Compatibility status with Django 5+ (classifiers only list up to 3.10 Python support)
- Whether security issues in abandoned state have been identified by the community
What it is and what it does
dj-datatables-view is a Django view base class that bridges your Django models and the DataTables JavaScript library for server-side table rendering. It handles the request/response cycle that DataTables expects: parsing sort and filter parameters from the client, applying them to your queryset, and returning paginated JSON. You subclass BaseDatatableView, define your model and columns, and optionally override methods like filter_queryset and render_column to customize behavior.
The package simplifies what would otherwise be boilerplate—converting Django querysets into the exact JSON format DataTables expects, respecting the library's sorting and filtering protocol, and managing pagination limits. It works with Django 2, 3, and 4 and supports Python 3.5 through 3.10, though it has not been maintained since early 2022.
Use it for
- Build a server-side paginated table in Django that filters and sorts large datasets without loading all records into the browser.
- Integrate DataTables into an existing Django view with minimal boilerplate by inheriting BaseDatatableView.
- Render custom HTML or formatted values in table cells by overriding render_column while keeping sorting and filtering automatic.
- Protect your site from abuse by enforcing a max_display_length limit on records returned per request.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively using DataTables 1.9–1.11 with Django 2–4 and do not need ongoing maintenance.
The package is stable and has no known vulnerabilities, but it is abandoned and will not receive updates for newer Django or DataTables versions. Consider it only for legacy projects or as a reference implementation; for new projects, evaluate whether a modern table library or a fresh DataTables integration is more appropriate.
Install
dj-datatables-view on PyPI
Before you install
Low install friction with no runtime dependencies. However, the package is marked as abandoned with no releases since 2022-02-24 and no recent maintenance activity, so expect no updates or bug fixes going forward.
Requires Django 2+ and Python 3.5+; DataTables library must be configured on the client side to send requests to the view.
License in practice
MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute this package freely in commercial and private projects.
Quickstart
pip install dj-datatables-view
from dj_datatables_view.base_datatable_view import BaseDatatableView
class OrderListJson(BaseDatatableView):
model = MyModel
columns = ['number', 'user', 'state']
order_columns = ['number', 'user', 'state']Verify before relying
- Whether the package works with DataTables versions beyond 1.11.* or modern DataTables 2.x
- Compatibility status with Django 5+ (classifiers only list up to 3.10 Python support)
- Whether security issues in abandoned state have been identified by the community
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.5,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,632 days since the last release |
| First released | |
| Downloads | 238,158 / month, #8,945 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: dj_datatables_view-0.1.8-py3-none-any.whl
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See also django-datatables-view · django-tables2 · djangorestframework-datatables · django-htmx · django-admin-list-filter-dropdown · djangorestframework-bulk · django-filter · drf-excel · djangorestframework-filters · djangoql