analytics-python

What it is and what it does

analytics-python is the official Python client for Segment's analytics platform. It wraps the Segment REST API to let you send user events and properties from your Python application to Segment, which then routes that data to your choice of downstream analytics services—Mixpanel, Google Analytics, Amplitude, or dozens of others—without requiring you to integrate each service separately.

The library handles the HTTP communication through requests, manages retries via backoff, and provides a straightforward API for tracking events, identifying users, and recording page views. It depends on six runtime packages including python-dateutil for timestamp handling and monotonic for consistent timing. The package is permissively licensed under MIT and has low installation friction.

Use it for:

• Track user interactions (clicks, form submissions, purchases) in a web or mobile backend and send them to Segment for aggregation across analytics platforms
• Identify and profile users with custom properties, then sync that data to CRM or marketing automation tools via Segment's integrations
• Collect server-side events from a Python application and route them to multiple analytics destinations without maintaining separate client libraries
• Log application events for real-time dashboarding and historical analysis across tools like Mixpanel, Amplitude, or custom data warehouses

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

A Python client library that sends analytics events to the Segment API, allowing you to track user actions and integrate with multiple downstream analytics services through a single interface.

Yes, if you use Segment for analytics aggregation. The package is stable, permissively licensed, and has low install friction. However, note that the description itself directs users to the newer listing at segment-analytics-python due to a naming conflict, so verify whether you should use that package instead before installing this one.

Install

analytics-python on PyPI

pip install analytics-python

uv add analytics-python

poetry add analytics-python

Installing analytics-python

Before you install

Low install friction with five straightforward runtime dependencies. The package is actively maintained with recent commits and has been stable since its initial 2013 release, though the latest release was in March 2023.

License in practice

MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart

pip install analytics-python

import analytics
analytics.write_key = 'YOUR_WRITE_KEY'
analytics.track('user_id', 'event_name', {'property': 'value'})

Verify before relying

• Whether the package continues to receive updates beyond March 2023 despite active repo status
• Compatibility with Python versions beyond 3.8 given classifier list ends there

Package facts

Evidence: analytics_python-1.4.post1-py2.py3-none-any.whl

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