{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"}],"enrichment":{"capability":"Provides data structures for representing and manipulating temporal segments with labels, designed for tasks like speaker diarization and time-based annotation workflows.","skillfed_tags":["audio-processing","temporal-data","speaker-diarization"],"use_cases":["Build speaker diarization pipelines that track speaker identity across time intervals in audio","Manage time-based annotations and labels for audio or video processing workflows","Represent and query overlapping or adjacent temporal segments in event-driven systems","Visualize temporal data and segment boundaries in Jupyter notebooks for exploratory analysis","Integrate temporal data handling into speech processing or audio analysis frameworks"],"what_it_does":"pyannote.core is a library for working with temporal segments and their associated labels\u2014the core data abstraction for speaker diarization, audio annotation, and time-based event tracking. It builds on numpy, pandas, and sortedcontainers to provide efficient handling of overlapping and non-overlapping time intervals, making it a foundation for speech processing pipelines and annotation workflows.\n\nThe package is part of the larger pyannote ecosystem and is typically used as a dependency rather than standalone. It offers both programmatic APIs for manipulating temporal data and optional Jupyter notebook visualization support. With low install friction and support for modern Python versions, it integrates readily into existing scientific Python stacks.","worth_installing":"Yes, if you are building speaker diarization or audio annotation systems. The package provides essential data structures for temporal segment handling and integrates well with the scientific Python ecosystem. However, verify the license status before use, and note that maintenance appears to be in a slower phase (332 days since last release)\u2014acceptable for stable infrastructure but worth monitoring if you depend on active development."},"id":"pyannote-core","links":{"html":"https://skillfed.io/packages/pyannote-core","md":"https://skillfed.io/packages/pyannote-core.md","pypi":"https://pypi.org/project/pyannote-core/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-09-16","license_spdx":null,"license_treatment":"unclear","name":"pyannote-core","python_support":"supports_current","summary":"Advanced data structures for handling temporal segments with attached labels"},"popularity":{"monthly_downloads":2740521,"position":2912,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"6.0.1"}