$npx skillfedfor your agent

customerio-cdp-analytics

Customer.io Data Pipelines (CDP) Python bindings.

With conditionsPyPI InternetReleased Jun 2026112.7K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — customerio_cdp_analytics-1.0.2-py2.py3-none-any.whl
v1.0.2 · released 2026-06-30 · Python >=3.9.0 · 4 runtime deps: requests, monotonic, backoff, python-dateutil

Yes, if you are already using Customer.io and need a Python client to send events to their platform. The package is actively maintained, has low install friction, carries an MIT license, and supports current Python versions. No known vulnerabilities. Install it as part of your Customer.io integration; do not install it if you are not using Customer.io's CDP.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a valid Customer.io write key and network connectivity to Customer.io's CDP endpoint.
  • Low friction installation with four lightweight runtime dependencies.
  • Active maintenance as of June 2026, with recent release activity.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—suitable for most projects.

last release 2026-06-30 (45 days) · last repo commit 2026-06-30 · 2 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 112,695 downloads/mo, #12,360 on PyPI

Verify before relying

pip install customerio-cdp-analytics

from customerio import analytics
analytics.write_key = 'YOUR_WRITE_KEY'
analytics.track(user_id=4, event='order_complete')
  • Whether the package handles offline queueing or requires synchronous network calls.
  • Rate limiting and retry behavior beyond what backoff dependency provides.
  • Support for batch operations or only single-event tracking.
Same gist for agents: .md · .json

What it is and what it does

This is a Python client library for Customer.io's Data Pipelines platform, designed to send event tracking and user data from your application to Customer.io for analytics and customer engagement workflows. It wraps HTTP requests to Customer.io's CDP endpoints, handling authentication via a write key and supporting configuration of alternate data centers (e.g., EU regions). The library depends on requests for HTTP transport, backoff for retry logic, monotonic for timing, and python-dateutil for date handling.

You initialize it with a write key, then call methods like track() to log user events. The library is actively maintained, supports Python 3.9 through 3.14, and carries no known security vulnerabilities. It's a thin integration layer rather than a full analytics platform—its role is to reliably forward events to Customer.io's backend.

Use it for

  • Log user actions (purchases, sign-ups, feature usage) to Customer.io for segmentation and campaign targeting.
  • Integrate event tracking into a Python web application or backend service.
  • Send user profile updates to Customer.io for real-time personalization.
  • Route events to Customer.io's EU data center when compliance requires regional data residency.

Worth the install?

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

With conditions

Yes, if you are already using Customer.io and need a Python client to send events to their platform.

The package is actively maintained, has low install friction, carries an MIT license, and supports current Python versions. No known vulnerabilities. Install it as part of your Customer.io integration; do not install it if you are not using Customer.io's CDP.

Install

customerio-cdp-analytics on PyPI

Before you install

Low friction installation with four lightweight runtime dependencies. Active maintenance as of June 2026, with recent release activity.

Requires a valid Customer.io write key and network connectivity to Customer.io's CDP endpoint.

License in practice

MIT license permits commercial and private use with minimal restrictions—suitable for most projects.

Quickstart

pip install customerio-cdp-analytics

from customerio import analytics
analytics.write_key = 'YOUR_WRITE_KEY'
analytics.track(user_id=4, event='order_complete')

Verify before relying

  • Whether the package handles offline queueing or requires synchronous network calls.
  • Rate limiting and retry behavior beyond what backoff dependency provides.
  • Support for batch operations or only single-event tracking.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.9.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
requestsmonotonicbackoffpython-dateutil
MaintenanceActively maintained 45 days since the last release
Last repo commit
First released
Downloads112,695 / month, #12,360 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9

Evidence: customerio_cdp_analytics-1.0.2-py2.py3-none-any.whl

Tags

Capabilities
customer.io analytics clientCDP event tracking pythoncustomer data platform integrationevent tracking APIcustomer.io python SDK
Topics
analyticscustomer-engagementevent-tracking

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 › “customer.io analytics client”

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

More Internet packages

botocore Worth it
PyPI · Internet · released Aug 2026

Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.

Install it if you need programmatic access to AWS services.

permissive licensepure Python · 3.10+
1.5Bdownloads / mo
aiobotocore Worth it
PyPI · Internet · released Aug 2026

Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.

Install it if you need to call AWS services from async Python code; it is the standard way to do so.

Apache-2.0pure Python · 3.10+
1.2Bdownloads / mo
pydantic Worth it
PyPI · Python Modules · released May 2026

Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.

MITpure Python · 3.9+
1.1Bdownloads / mo
filelock Worth it
PyPI · Libraries · released Aug 2026

Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.

MITpure Python · 3.10+
717.1Mdownloads / mo
fastapi Worth it
PyPI · Software Development · released Jul 2026

FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.

MITpure Python · 3.10+
568.6Mdownloads / mo
googleapis-common-protos Worth it
PyPI · Internet · released Aug 2026

Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.

Apache-2.0pure Python · 3.10+
513.7Mdownloads / mo

See also customerio · rudder-sdk-python · segment-analytics-python · apache-airflow-providers-segment · cdp-sdk · salesforce-cdp-connector · posthoganalytics · analytics-python · onesignal-python-api · universal-analytics-python3