Understand the project
Practical overview
When it fits
Use FiftyOne when a computer-vision project needs a structured workspace for inspecting data, reviewing quality, labeling samples or evaluating model outputs before further model development.
Who it is for
- Computer-vision developers
- Machine-learning teams
- Data practitioners working with visual datasets
- Contributors developing the FiftyOne App
Documented uses
- Curate computer-vision datasets
- Review and improve data quality
- Visualize and label samples
- Evaluate visual AI models
- Select samples for labeling through active-learning workflows
Before you choose
Requirements & limits
The project is open source under the Apache-2.0 license. The repository documents pip installation for Python 3.10-3.13 and source installation on macOS, Linux and Windows, with Docker, self-hosted and server environments listed in its technical profile.
- The standard setup is Python-based and uses pip.
- A source installation adds Node.js and Yarn because it builds the App.
- The tool covers both dataset work and model evaluation, making it relevant when data quality and model quality are reviewed together.
- The repository links a Google Colab quickstart for users who want a notebook-based starting point.
- Teams contributing to the App can use the documented developer installation path and configure a self-managed MongoDB instance.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 2 October 2026
- Original website title
- voxel51/fiftyone · Official homepage title · retained in its source language