$npx skillfedfor your agent

django-bulk-update

Bulk update using one query over Django ORM.

With conditionsPyPI WWW/HTTPReleased Aug 2017606.3K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — django_bulk_update-2.2.0-py2.py3-none-any.whl
v2.2.0 · released 2017-08-12

Yes, if you are on Django 1.8 or later and need to bulk-update many objects efficiently. The package is simple, has no dependencies, and the core logic is unlikely to break. However, test thoroughly with your Django version before relying on it in production, and monitor the repository for any compatibility issues with newer Django releases. If you are on Django 3.2 or later, verify whether Django's native bulk_update() method meets your needs first.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Django 1.8 or later; the package is not actively maintained and may have compatibility issues with modern Django versions.
  • Low install friction with no runtime dependencies.
  • Maintenance is dormant—last release was 2017-08-12 and last commit 2023-10-03, so the package is stable but receives no active development or security updates.

License · maintenance · safety

permissive license (permissive) — Released under MIT License (permissive), so you can use it freely in commercial and open-source projects with minimal restrictions.

last release 2017-08-12 (3289 days) · last repo commit 2023-10-03 · 433 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 606,316 downloads/mo, #5,792 on PyPI

Verify before relying

pip install django-bulk-update

from django_bulk_update.manager import BulkUpdateManager
from django_bulk_update.helper import bulk_update

objs = []
for obj in objs:
    obj.name = 'new_value'

bulk_update(objs, update_fields=['name'])
  • Compatibility with Django versions released after 2017-08-12 (the last release date) is not documented.
  • Whether the package works correctly with modern Python versions (3.10+) given its age and dormant status.
  • Support for Geometry Fields, which is listed as a TODO in the project.
Same gist for agents: .md · .json

What it is and what it does

django-bulk-update is a Django extension that replaces the typical pattern of calling .save() on each object with a single bulk update query. Instead of issuing one SQL UPDATE per object, it batches all changes into one or a few queries, dramatically reducing database round-trips. You modify your model instances in memory, then pass them to either a manager method (if you add BulkUpdateManager to your model) or a standalone helper function, specifying which fields to update or which to exclude. The package handles batching by size if you need to split very large updates into chunks.

The main value is performance: the description shows a 52.90x speedup over individual saves in a test with 1000 objects. It works with Django's ORM directly—no raw SQL needed—and integrates cleanly into existing codebases. However, the project is dormant (last release in 2017, last commit in 2023), so it carries risk if you need compatibility with recent Django or Python versions or if bugs emerge.

Use it for

  • Bulk-update records after a batch import or data migration without issuing thousands of individual queries.
  • Modify multiple model instances in a loop and persist them all at once instead of calling save() repeatedly.
  • Update specific fields on many objects while excluding others to avoid unnecessary database writes.
  • Batch-update large datasets in chunks using batch_size to avoid memory or query-size limits.
  • Replace slow save() loops in admin actions or management commands with a single efficient query.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are on Django 1.8 or later and need to bulk-update many objects efficiently.

The package is simple, has no dependencies, and the core logic is unlikely to break. However, test thoroughly with your Django version before relying on it in production, and monitor the repository for any compatibility issues with newer Django releases. If you are on Django 3.2 or later, verify whether Django's native bulk_update() method meets your needs first.

Install

django-bulk-update on PyPI

Before you install

Low install friction with no runtime dependencies. Maintenance is dormant—last release was 2017-08-12 and last commit 2023-10-03, so the package is stable but receives no active development or security updates.

Requires Django 1.8 or later; the package is not actively maintained and may have compatibility issues with modern Django versions.

License in practice

Released under MIT License (permissive), so you can use it freely in commercial and open-source projects with minimal restrictions.

Quickstart

pip install django-bulk-update

from django_bulk_update.manager import BulkUpdateManager
from django_bulk_update.helper import bulk_update

objs = []
for obj in objs:
    obj.name = 'new_value'

bulk_update(objs, update_fields=['name'])

Verify before relying

  • Compatibility with Django versions released after 2017-08-12 (the last release date) is not documented.
  • Whether the package works correctly with modern Python versions (3.10+) given its age and dormant status.
  • Support for Geometry Fields, which is listed as a TODO in the project.

Package facts

Licensepermissive license permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceDormant 3,289 days since the last release
Last repo commit
First released
Downloads606,316 / month, #5,792 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Environment :: Web EnvironmentFramework :: DjangoIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Topic :: Internet :: WWW/HTTPTopic :: Internet :: WWW/HTTP :: Dynamic Content

Evidence: django_bulk_update-2.2.0-py2.py3-none-any.whl

Tags

Capabilities
django bulk updatebatch update django ormdjango mass updateupdate multiple django objectsdjango bulk operationssingle query update djangodjango batch operations
Topics
django-ormperformancebatch-operations

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “batch update django orm”

Give your agent the search over MCP, or paste the wish link into any chat.

More WWW/HTTP packages

urllib3 Worth it
PyPI · Libraries · released May 2026

urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.

MITpure Python · 3.10+
1.8Bdownloads / mo
requests Worth it
PyPI · Libraries · released May 2026

Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.

Apache-2.0pure Python · 3.10+
1.8Bdownloads / mo
h11 With conditions
PyPI · WWW/HTTP · released Apr 2025

h11 is a pure-Python HTTP/1.1 protocol implementation that handles parsing and serializing HTTP messages without any built-in I/O, letting you integrate it with any network layer you choose.

MITpure Python · 3.8+aging
894.9Mdownloads / mo
httpx Worth it
PyPI · WWW/HTTP · released Dec 2024

HTTPX is a fully featured HTTP client library for Python that provides both sync and async APIs, with support for HTTP/1.1 and HTTP/2, plus an integrated command-line client.

Install it if you are building new projects or modernizing existing ones that rely on HTTP.

BSD-3-Clausepure Python · 3.8+
797.0Mdownloads / mo
httpcore With conditions
PyPI · WWW/HTTP · released Apr 2025

A minimal low-level HTTP client library that sends HTTP requests with thread-safe and task-safe connection pooling, supporting HTTP/1.1, HTTP/2, proxies, and both sync and async interfaces.

BSD-3-Clausepure Python · 3.8+aging
783.6Mdownloads / mo
aiohttp Worth it
PyPI · WWW/HTTP · released Jul 2026

aiohttp is an async HTTP client and server framework built on asyncio, supporting both WebSockets and middleware-based routing for building concurrent web applications.

Install it if you need async HTTP client or server capabilities in asyncio-based applications.

permissive licensecompiled wheel · 3.10+
643.6Mdownloads / mo

See also salesforce-bulk · django-pg-bulk-update · django-postgres-copy · django-anon · djangorestframework-bulk · django-pg-returning · django-celery-email · salesforce-api · tortoise-orm · djongo