---
id: segment-analytics-python
version: "2.3.6"
license: MIT License
license_treatment: permissive
maintenance: active
---

# segment-analytics-python — The hassle-free way to integrate analytics into any python application.

License: permissive · Maintenance: active · Downloads: 16.1M/mo

## What it is and what it does

segment-analytics-python is a client library that collects analytics events from your Python application and sends them to Segment's platform, which then routes the data to your choice of over 250 downstream destinations—analytics tools, data warehouses, email platforms, and more—without requiring you to write individual integrations. You instrument your code once with Segment calls (e.g., track, identify, page events), and Segment handles delivery and transformation to all enabled destinations.

The package wraps HTTP requests to Segment's API, with built-in retry logic via backoff and support for JWT authentication. It depends on requests, backoff, python-dateutil, and PyJWT. The library is in maintenance mode: it will reliably send data as designed, but Segment has committed only to critical bug fixes and security updates, not new feature development.

Use it for:

- Centralize event tracking from a Python backend to feed multiple analytics platforms with a single instrumentation.
- Capture user behavior events and route them to a data warehouse for SQL-based analysis.
- Send server-side events to Segment for real-time alerting, session recording, or CRM sync.
- Instrument a Python application to measure funnel metrics, retention cohorts, and product-market fit signals.
- Decouple analytics infrastructure from application code by managing tool integrations through Segment's UI.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A Python client for sending analytics events to Segment, which routes them to over 250 downstream analytics and business tools without requiring direct integrations to each.

Yes, if you are already using Segment or plan to adopt it as your analytics hub. The library is stable, low-friction to install, and well-maintained for its scope. However, be aware that it is in maintenance mode—no new features will be added—so evaluate whether its current API surface meets your needs. Not recommended if you need active feature development.

## Install

pip install segment-analytics-python
uv add segment-analytics-python
poetry add segment-analytics-python

## Installing segment-analytics-python

Before you install: Low install friction with four lightweight runtime dependencies (requests, backoff, python-dateutil, PyJWT). Actively maintained with a recent release; however, the library is explicitly in maintenance mode and will receive only critical updates, not new features.

License in practice: MIT License permits unrestricted use, modification, and distribution with minimal legal friction.

Quickstart:

pip install segment-analytics-python

import segment.analytics as analytics
analytics.write_key = 'YOUR_WRITE_KEY'
analytics.track('Order Completed', { 'price': 99.84 })

Requires a Segment write_key to send events; events will not be delivered without valid authentication.

Verify before relying:

- Whether the maintenance-mode status affects reliability for new integrations or if it is stable enough for production use.
- Specific performance characteristics or throughput limits when handling high-volume event streams.
- Whether batching, retry logic, or backoff behavior is configurable for different use cases.

## Package facts

- License: MIT License (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 16.1M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

segment analytics python client, send events to segment, analytics data collection, segment integration python, track user events python, analytics pipeline, event tracking service, analytics, event-tracking, segment-integration

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