{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/6"}],"enrichment":{"capability":"Provides post-processing and analytics for inference pipeline results, with configurable use cases for people counting and customer service analysis using numpy and scipy.","skillfed_tags":["inference-analytics","computer-vision","post-processing"],"use_cases":["Count people in zones (entrance, checkout areas) with occupancy alerts and temporal trends for retail analytics","Analyze staff utilization and customer-staff interactions to measure service quality and queue efficiency","Track unique individuals across frames to measure dwell time and movement patterns in defined areas","Generate business intelligence metrics from detection results without writing custom post-processing logic","Load and apply pre-configured analytics pipelines from JSON/YAML files across multiple inference runs"],"what_it_does":"matrice-analytics is a post-processing system for the Matrice Python SDK that transforms raw inference results into structured analytics. It wraps numpy and scipy to provide standardized processing pipelines for two main use cases: people counting (with zone analysis, occupancy tracking, and alerts) and customer service analytics (staff utilization, customer-staff interactions, queue insights). All operations return ProcessingResult objects with status, metrics, insights, and warnings.\n\nThe package uses a registry pattern with type-safe dataclass configurations that support JSON/YAML file loading. It's designed for developers building analytics on top of computer vision inference\u2014typical workflows involve loading raw detections, applying a use case configuration, and extracting business metrics. The system includes error handling that returns structured results even on partial failures, plus automatic insight generation and performance statistics.","worth_installing":"Yes, with conditions. The package is actively maintained, has low install friction, and solves a real problem for developers building analytics on inference results. However, the proprietary license is unclear\u2014verify licensing terms before use. No known security vulnerabilities. Best suited for projects already using the Matrice SDK or similar inference pipelines where standardized post-processing is valuable."},"id":"matrice-analytics","links":{"html":"https://skillfed.io/packages/matrice-analytics","md":"https://skillfed.io/packages/matrice-analytics.md","pypi":"https://pypi.org/project/matrice-analytics/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":"LicenseRef-Proprietary","license_treatment":"unclear","name":"matrice-analytics","python_support":"supports_current","summary":"Post-processing analytics for Matrice.ai inference pipelines"},"popularity":{"monthly_downloads":2163821,"position":3237,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.1.458"}