{"categories":[{"label":"Internet","url":"https://skillfed.io/packages/category/internet/2"}],"enrichment":{"capability":"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.","skillfed_tags":["analytics","event-tracking","segment-integration"],"use_cases":["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"],"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\u2014Mixpanel, Google Analytics, Amplitude, or dozens of others\u2014without requiring you to integrate each service separately.\n\nThe 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.","worth_installing":"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."},"id":"analytics-python","links":{"html":"https://skillfed.io/packages/analytics-python","md":"https://skillfed.io/packages/analytics-python.md","pypi":"https://pypi.org/project/analytics-python/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2023-03-22","license_spdx":null,"license_treatment":"permissive","name":"analytics-python","python_support":"unspecified","summary":"The hassle-free way to integrate analytics into any python application."},"popularity":{"monthly_downloads":1753077,"position":3591,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.4.post1"}