{"categories":[{"label":"Analysis","url":"https://skillfed.io/packages/category/multimedia-sound-audio-analysis"}],"enrichment":{"capability":"mir_eval computes standard accuracy metrics for music and audio information retrieval tasks, enabling transparent evaluation of audio processing algorithms.","skillfed_tags":["music-information-retrieval","audio-evaluation","research-metrics"],"use_cases":["Evaluate audio processing algorithms by computing standard metrics against ground truth annotations.","Benchmark music processing systems using standardized accuracy measures from the mir_eval library.","Validate audio analysis results by computing evaluation metrics across research projects.","Compare results across papers using transparent, reference implementations of common MIR metrics."],"what_it_does":"mir_eval is a Python library that implements standard evaluation metrics used in music and audio information retrieval research. It provides reference implementations of common accuracy measures for audio signal processing problems. The library depends on numpy, scipy, and decorator, making it straightforward to integrate into research workflows and evaluation pipelines.\n\nThe package is designed for researchers and practitioners who need to benchmark audio processing algorithms against established metrics. Rather than reimplementing evaluation logic, users can call mir_eval's functions to compute metrics consistently and reproducibly, which is especially valuable when comparing results across papers or validating new methods against published baselines.","worth_installing":"Yes. mir_eval is actively maintained, has no known vulnerabilities, installs with low friction, and provides standard reference implementations for music information retrieval metrics. Install it if you are evaluating audio or music processing algorithms and need reproducible metric computation."},"id":"mir-eval","links":{"html":"https://skillfed.io/packages/mir-eval","md":"https://skillfed.io/packages/mir-eval.md","pypi":"https://pypi.org/project/mir-eval/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-02-25","license_spdx":null,"license_treatment":"permissive","name":"mir-eval","python_support":"unspecified","summary":"Common metrics for common audio/music processing tasks."},"popularity":{"monthly_downloads":229671,"position":9127,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.8.2"}