TimeSide vs pyAudioAnalysis
Python audio analysis tools compared
TimeSide and pyAudioAnalysis are Python projects for analyzing audio. TimeSide combines a plug-in framework with a server and REST API for media processing, while pyAudioAnalysis focuses on feature extraction, classification, segmentation, and related machine-learning tasks.
TimeSide: Process and Analyze Audio at Scale with Python
TimeSide is a Python framework and server for analyzing, visualizing, transcoding, streaming, and labeling audio and video. Its plug-in architecture supports both local processing and a REST API for larger, asynchronous workloads.
pyAudioAnalysis: Analyze, Classify and Segment Audio
pyAudioAnalysis is a Python library for audio feature extraction, classification, segmentation and related applications. It provides tools for tasks such as sound classification, event detection, speaker diarization and audio visualization.
| TimeSide | pyAudioAnalysis | |
|---|---|---|
| Language | Python | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Stars | 393 | 6.3k |
| Forks | 60 | 1.2k |
| Last analyzed | Oct 29, 2026 | Oct 23, 2026 |
Key differences
- TimeSide covers audio and video processing, including transcoding, streaming, visualization, and labeling; pyAudioAnalysis focuses on audio analysis tasks such as classification, event detection, and speaker diarization.
- TimeSide offers a plug-in architecture and REST API for asynchronous jobs; pyAudioAnalysis provides Python wrappers and command-line workflows.
- TimeSide uses the AGPL-3.0 license, while pyAudioAnalysis uses Apache-2.0.
- TimeSide documents Docker Compose as its installation route and says it does not support use outside the original Docker container; pyAudioAnalysis requirements identify Python and tests, with no required GPU, database, or container runtime specified.
- TimeSide is marked inactive, with no commits or releases in over a year; pyAudioAnalysis is marked maintained and has had a few recent commits, though neither has published a release in over a year.
- TimeSide is suited to media collections and integrations that need a processing service; pyAudioAnalysis centers on Python and command-line workflows for audio features and machine-learning applications.
Choose TimeSide if you…
- need a REST API for asynchronous audio processing or transcoding jobs.
- want a plug-in framework for processing, visualizing, streaming, or labeling audio and video.
- work with media collections and need server-based workflows alongside Python processing.
Choose pyAudioAnalysis if you…
- need tools for audio feature extraction, classification, segmentation, or event detection.
- want to explore speaker diarization or other unsupervised audio analysis.
- prefer Python wrappers or command-line tools for audio machine-learning workflows.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.