ai-user-activity-monitor 1.0.4

AI User Activity Monitor — open-source Django user activity dashboard by Nitesh Kumar Singh (nkscoder)

ai-user-activity-monitor

Author: Nitesh Kumar Singh · GitHub: @nkscoder
Repository: github.com/nkscoder/ai-user-activity-monitor

Open-source Django user activity monitor — page views, logins, search terms, time-on-page, and staff dashboards. Built by Nitesh Kumar Singh (nkscoder) as a reusable activity app for any Django project.

Maintainer	Nitesh Kumar Singh — nkscoder.in
Repo	ai-user-activity-monitor
PyPI	pypi.org/project/ai-user-activity-monitor
Django app	activity
Version	1.0.4
License	MIT

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Screenshots

Analytics dashboard

Online users, login frequency, app-section visits, time-on-page charts, and a live activity feed.

User list & search

Searchable user table with pagination, last activity, login counts, and Excel export.

PyPI note: README images use absolute GitHub URLs so they render on pypi.org/project/ai-user-activity-monitor.

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Features

• Automatic page view and POST action logging (middleware)
• Time on page via client-side beacon (page-time endpoint)
• Search term capture from common query params (search, q, query, …)
• Staff dashboard: online users, login frequency charts, app-section visits, live feed
• User list with search, pagination, Excel export
• Per-user activity detail and time-by-path breakdown
• Dynamic section labels from installed Django apps and model verbose_name
• Uses AUTH_USER_MODEL (no hardcoded user app)

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Requirements

Package	Version
Python	3.10+
Django	4.2+
openpyxl	3.1+ (Excel export)

Uses Django AUTH_USER_MODEL everywhere. Your user model should support is_staff / is_superuser for dashboard access.

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Quick install

From PyPI (recommended)

pip install ai-user-activity-monitor

PyPI: pypi.org/project/ai-user-activity-monitor

From GitHub

pip install git+https://github.com/nkscoder/ai-user-activity-monitor.git

Editable / local development

git clone https://github.com/nkscoder/ai-user-activity-monitor.git
cd ai-user-activity-monitor
pip install -e ".[dev]"

Note: PyPI package name is ai-user-activity-monitor; Django app label is activity.

settings.py

INSTALLED_APPS = [
    # ...
    "activity.apps.ActivityConfig",
]

MIDDLEWARE = [
    # ...
    "activity.middleware.RequestIdMiddleware",
    "activity.middleware.ActivityLogMiddleware",
]

TEMPLATES[0]["OPTIONS"]["context_processors"] += [
    "activity.context_processors.activity_request_id",
    "activity.context_processors.activity_open_source",
]

urls.py

urlpatterns = [
    # ...
    path("user/activity/", include("activity.urls")),
]

Run migrations:

python manage.py makemigrations activity
python manage.py migrate

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Configuration (ACTIVITY_*)

Setting	Default	Description
ACTIVITY_GITHUB_URL	https://github.com/nkscoder/ai-user-activity-monitor	Open-source repo link
ACTIVITY_HOMEPAGE_URL	https://nkscoder.in	Author site
ACTIVITY_AUTHOR_NAME	Nitesh Kumar Singh	Display name
ACTIVITY_AUTHOR_HANDLE	nkscoder	Handle / brand
ACTIVITY_SEARCH_PLACEHOLDER	generic search hint	User list search box
ACTIVITY_PATH_LABEL_RULES	[]	Optional (regex, label) overrides
ACTIVITY_EXCLUDED_APP_LABELS	None (auto)	App labels hidden from charts
ACTIVITY_EXCLUDED_CHART_SECTIONS	()	Extra section titles to hide
ACTIVITY_USER_SEARCH_FIELDS	None (auto)	Char/email fields on user model
ACTIVITY_USER_EXPORT_COLUMNS	None (auto)	Excel columns
ACTIVITY_USER_LIST_COLUMNS	None (auto)	User list table columns
ACTIVITY_USER_IDENTIFIER_FIELDS	None (auto)	Primary identifier fields
ACTIVITY_SESSION_CONTEXT_KEYS	()	Session keys passed into templates

Section names are resolved automatically, e.g. URL /tickets/… → app verbose_name, /tickets/ticket/… → app + model verbose_name_plural.

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URLs

Path	Name	Description
dashboard/user-activity/	user_activity_dashboard	Main analytics dashboard
dashboard/users/	activity_user_list	Searchable user list
dashboard/users/<id>/	activity_user_detail	Per-user logs
dashboard/users/export-excel/	export_user_list_excel	Excel download
page-time/	page_time	Duration beacon (POST)
license/	activity_license	MIT license page

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Publish to PyPI (maintainers)

See PUBLISHING.md for build, TestPyPI, and production upload steps.

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About Nitesh Kumar Singh (nkscoder)

Nitesh Kumar Singh develops reusable Django packages under nkscoder. ai-user-activity-monitor is published on GitHub for teams who need user activity analytics without vendor lock-in.

• Website: nkscoder.in
• GitHub: github.com/nkscoder
• Repo: ai-user-activity-monitor

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License

Copyright © 2026 Nitesh Kumar Singh (nkscoder).

Released under the MIT License.