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fiftyone-brain

FiftyOne Brain

fiftyone-brain v0.24.0 185.9K downloads/30d#9,999 on PyPI161
Permissive license Apache Active released

What it is and what it does

FiftyOne Brain is an AI/ML toolkit that extends the FiftyOne ecosystem with automated dataset and model analysis capabilities. It provides features like visual similarity search, text-based querying, detection of unique and representative samples, and identification of media quality issues and annotation mistakes. The package depends on numpy, scipy, and scikit-learn for its numerical and machine learning operations.

It is intended for data scientists and ML engineers working with computer vision and image datasets who need to systematically explore, validate, and improve their data quality. The package is actively maintained, supports current Python versions (3.10 through 3.14), and carries an Apache License that permits both commercial and open-source use.

Use it for:

  • Find visually similar images in a dataset to identify duplicates or near-duplicates
  • Detect annotation errors and labeling inconsistencies across a dataset
  • Identify representative or unique samples for active learning or model validation
  • Analyze media quality issues such as blur, noise, or lighting problems
  • Query datasets using natural language descriptions to locate relevant samples

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

FiftyOne Brain provides AI/ML capabilities for analyzing and manipulating datasets and models, including visual similarity search, text-based querying, sample uniqueness detection, and quality/annotation issue identification.

Yes. FiftyOne Brain is actively maintained, has low install friction, carries a permissive license, and addresses a real need in dataset analysis and ML workflows. It integrates well with the broader FiftyOne ecosystem and depends only on stable, widely-used scientific libraries. No known security vulnerabilities. Install it if you work with computer vision datasets and need systematic quality and similarity analysis.

Install

fiftyone-brain on PyPI

pip

pip install fiftyone-brain

uv

uv add fiftyone-brain

poetry

poetry add fiftyone-brain

Installing fiftyone-brain

Before you install

Low install friction with a pure-Python wheel distribution. Actively maintained with a release 3 days old and recent commits. Depends on numpy, scipy, and scikit-learn—all stable, widely-used scientific packages.

License in practice

Apache License (permissive) means you can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.

Quickstart

pip install fiftyone-brain

import fiftyone.brain as fb
# Use brain capabilities on a FiftyOne dataset

Requires Python 3.10 or later. Designed as part of the FiftyOne ecosystem; most functionality assumes a FiftyOne dataset object.

Verify before relying

  • Whether fiftyone-brain can be used standalone or requires the full fiftyone package installation
  • Specific performance characteristics for large-scale datasets (scalability limits)
  • Whether visual similarity search and other features require additional model downloads or setup

Package facts

License Apache (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 3 — numpy, scipy, scikit-learn
Maintenance actively maintained — 3 days since the last release
Last repo commit
First released
Downloads 185,875/month — #9,999 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: fiftyone_brain-0.24.0-py3-none-any.whl

Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Image ProcessingTopic :: Scientific/Engineering :: Image RecognitionTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: Visualization

Tags

visual similarity searchdataset analysis and qualityannotation error detectionrepresentative sample findingml dataset toolsmodel dataset inspection
dataset-analysiscomputer-visionml-tooling

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