#172172nd of 206 in ML frameworks and libraries

augly

Python library of audio, image, text and video data augmentations

Stars
5.1k
License
custom license
Last commit
Oct 2026
Last release
Mar 2022
Language
Python
Stars, last 29 weeks+44
22 Apr 2026: 5,056 stars29 Apr 2026: 5,062 stars6 May 2026: 5,065 stars13 May 2026: 5,066 stars20 May 2026: 5,067 stars27 May 2026: 5,067 stars3 Jun 2026: 5,070 stars10 Jun 2026: 5,070 stars17 Jun 2026: 5,071 stars24 Jun 2026: 5,072 stars1 Jul 2026: 5,073 stars8 Jul 2026: 5,076 stars15 Jul 2026: 5,076 stars22 Jul 2026: 5,076 stars29 Jul 2026: 5,076 stars5 Aug 2026: 5,077 stars12 Aug 2026: 5,077 stars19 Aug 2026: 5,078 stars26 Aug 2026: 5,080 stars2 Sept 2026: 5,080 stars9 Sept 2026: 5,082 stars16 Sept 2026: 5,090 stars23 Sept 2026: 5,091 stars30 Sept 2026: 5,094 stars7 Oct 2026: 5,094 stars14 Oct 2026: 5,095 stars21 Oct 2026: 5,096 stars28 Oct 2026: 5,097 stars4 Nov 2026: 5,100 stars11 Nov 2026: 5,100 stars

5,056 on 22 Apr 20265,100 on 11 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

AugLy is a Python library from Meta AI with over 100 augmentations across audio, image, text and video. Each modality is a separate sub-library with function and class transforms, composition operators, and optional metadata on the applied transform. It focuses on augmentations common on social platforms, such as memes, text or emoji overlays and screenshot reposts, for training and robustness evaluation.

Who it is for: ML engineers augmenting training data or testing model robustness

Strengths

  • Covers four modalities (audio, image, text, video) with per-modality pip installs
  • Includes social-media style transforms: memes, screenshot overlays, emoji and text overlays
  • Transforms can return metadata, including intensity, about what was applied
  • Ships emoji, font and screenshot template assets for its overlay augmentations

Weaknesses

  • Last release was 2022-03-29, so the PyPI version lags the repository
  • README states Python 3.6+ and does not mention newer Python versions
  • python-magic may need a separate conda or apt install
  • Licence detected as NOASSERTION although the README says MIT

What it needs

  • Needs python-magic

What changed

From the release notes. No flag means the note does not say so, not that the upgrade is safe.

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