albumentations VS librosa

Compare albumentations vs librosa and see what are their differences.

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 (by albumentations-team)

librosa

Python library for audio and music analysis (by librosa)
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albumentations librosa
28 14
13,395 6,681
1.9% 2.2%
8.3 7.2
6 days ago 16 days ago
Python Python
MIT License ISC License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

albumentations

Posts with mentions or reviews of albumentations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

librosa

Posts with mentions or reviews of librosa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

When comparing albumentations and librosa you can also consider the following projects:

imgaug - Image augmentation for machine learning experiments.

pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model

pydub - Manipulate audio with a simple and easy high level interface

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

kapre - kapre: Keras Audio Preprocessors

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

beets - music library manager and MusicBrainz tagger

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python