fiftyone-db
FiftyOne DB
Decision gist · record as of 2026-08-14
Yes, if you are using FiftyOne for computer vision work. Install it as a dependency of FiftyOne rather than directly. The package is actively maintained, has no known vulnerabilities, and uses a permissive Apache license. Medium install friction is typical for platform-specific compiled packages and poses no practical barrier.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Platform-specific wheels mean installation targets your OS architecture automatically, but cross-platform use requires matching wheel availability.
- Medium install friction due to platform-specific wheel distributions (macOS x86_64, macOS ARM64, Windows 32-bit, Windows 64-bit).
License · maintenance · safety
Apache (permissive) — Licensed under Apache (permissive), allowing commercial and private use with minimal restrictions.
last release 2025-12-30 (227 days) · last repo commit 2026-08-14 · 11,015 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 163,251 downloads/mo, #10,576 on PyPI
Alternatives
Verify before relying
pip install fiftyone-db==1.4.1
# Typically imported and used as part of the FiftyOne package
import fiftyone as fo- Whether fiftyone-db can be used independently or only as a dependency of the main FiftyOne package
- Specific database engine or storage backend used (e.g., MongoDB, embedded database)
- Performance characteristics or scalability limits for dataset sizes
What it is and what it does
fiftyone-db is a supporting package that provides the database layer for FiftyOne, a framework designed for managing and analyzing computer vision datasets. It handles the storage and retrieval of metadata, annotations, and dataset organization for image and video data. The package is distributed as platform-specific wheels for macOS (both x86_64 and ARM64), Windows (32-bit and 64-bit), and Linux, ensuring optimized performance on each target system.
As a backend component, fiftyone-db is typically not used directly by end users but rather as an implicit dependency when installing and using FiftyOne itself. It abstracts database operations required for dataset management, allowing researchers and engineers to focus on data exploration and model evaluation rather than storage infrastructure.
Use it for
- Store and organize large image datasets for computer vision model training and evaluation
- Manage video frame annotations and temporal metadata for action recognition or object tracking tasks
- Query and filter datasets by metadata, labels, or custom attributes during model development
- Support collaborative dataset curation and annotation workflows in FiftyOne applications
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using FiftyOne for computer vision work.
Install it as a dependency of FiftyOne rather than directly. The package is actively maintained, has no known vulnerabilities, and uses a permissive Apache license. Medium install friction is typical for platform-specific compiled packages and poses no practical barrier.
Install
fiftyone-db on PyPI
Before you install
Medium install friction due to platform-specific wheel distributions (macOS x86_64, macOS ARM64, Windows 32-bit, Windows 64-bit). Actively maintained with recent releases; repository shows strong community engagement (11015 stars) and current development activity.
Requires Python 3.9 or later. Platform-specific wheels mean installation targets your OS architecture automatically, but cross-platform use requires matching wheel availability.
License in practice
Licensed under Apache (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install fiftyone-db==1.4.1
# Typically imported and used as part of the FiftyOne package
import fiftyone as foVerify before relying
- Whether fiftyone-db can be used independently or only as a dependency of the main FiftyOne package
- Specific database engine or storage backend used (e.g., MongoDB, embedded database)
- Performance characteristics or scalability limits for dataset sizes
Package facts
| License | Apache permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 227 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 163,251 / month, #10,576 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | 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 :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Image ProcessingTopic :: Scientific/Engineering :: Image RecognitionTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: Visualization |
Evidence: fiftyone_db-1.4.1-py3-none-macosx_10_13_x86_64.whl; fiftyone_db-1.4.1-py3-none-macosx_11_0_arm64.whl; fiftyone_db-1.4.1-py3-none-win32.whl; fiftyone_db-1.4.1-py3-none-win_amd64.whl
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