Need to collaborate on your datasets? Check out FiftyOne Teams!
You will need a working Python installation. FiftyOne currently requires Python 3.7 - 3.10.
On Linux, we recommended installing Python through your system package manager
(APT, YUM, etc.) if it is available. On other platforms, Python can be
downloaded from python.org. To verify that
a suitable Python version is installed and accessible, run
We encourage installing FiftyOne in a virtual environment. See setting up a virtual environment for more details.
To install FiftyOne, ensure you have activated any virtual environment that you are using, then run:
pip install fiftyone
This will install FiftyOne and all of its dependencies. Once this has
completed, you can verify that FiftyOne is installed in your virtual
environment by importing the
$ python >>> >>> import fiftyone as fo >>>
A successful installation of FiftyOne should result in no output when
fiftyone is imported. See this section for
install troubleshooting tips.
If you want to work with video datasets, you’ll also need to install FFmpeg:
sudo apt install -y ffmpeg
brew install ffmpeg
You can download a Windows build from here. Unzip it and be sure to add it to your path.
Dive right into FiftyOne by opening a Python shell and running the snippet below, which downloads a small dataset and launches the FiftyOne App so you can explore it!
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import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") session = fo.launch_app(dataset)
Note that if you are running this code in a script, you must include
session.wait() to block execution
until you close the App. See this page for
FiftyOne Desktop App¶
By default, the FiftyOne App will be opened in your web browser when you launch it.
However, we also provide a desktop version of the FiftyOne App that you can install as follows:
pip install "fiftyone[desktop]"
provide an optional
desktop flag that let you control whether to launch
the App in your browser or as a desktop App.
You can also set the
desktop_app flag of your
FiftyOne config to use the desktop App by
If you run into any installation issues, review the suggestions below or check the troubleshooting page for more details.
Most installation issues can be fixed by upgrading some packages and then rerunning the FiftyOne install:
pip install --upgrade pip setuptools wheel pip install fiftyone
You must have the XCode Command Line Tools package installed on your machine. You likely already have it, but if you encounter an error message like
error: command 'clang' failed with exit status 1, then you may need to install it via
xcode-select --install, or see this page for other options.
psutilpackage may require Python headers to be installed on your system. On Debian-based distributions, these are available in the
If you encounter an error related to MongoDB failing to start, such as
Could not find mongod, you may need to install additional packages. See the alternative Linux builds for details.
If you encounter a
fiftyone, you will need to install the 64-bit Visual Studio 2015 C++ redistributable library. See here for instructions.
Various tutorials and guides that we provide on this site require additional
packages in order to run. If you encounter a missing package, you will see
helpful instructions on what you need to install. Alternatively, you can
preemptively install what you’ll need by installing the following additional
pip in your virtual environment:
ipythonto follow along with interactive examples more easily (note that a system-wide IPython installation will not work in a virtual environment, even if it is accessible)
torchvisionfor examples requiring PyTorch. The installation process can vary depending on your system, so consult the PyTorch documentation for specific instructions.
tensorflowfor examples requiring TensorFlow. The installation process can vary depending on your system, so consult the Tensorflow documentation for specific instructions.
tensorflow-datasetsfor examples that rely on loading TensorFlow datasets
FFmpeg, in order to work with video datasets in FiftyOne. See this page for installation instructions.
FiftyOne does not strictly require any of these packages, so you can install only what you need. If you run something that requires an additional package, you will see a helpful message telling you what to install.
You can upgrade an existing FiftyOne installation by passing the
pip install --upgrade fiftyone
If you use the desktop App, you should also run:
pip install "fiftyone[desktop]"
to ensure that you have the proper version of the desktop App installed for your current FiftyOne version.
New versions of FiftyOne occasionally introduce data model changes that require database migrations after you upgrade. Rest assured, these migrations will be automatically performed on a per-dataset basis whenever you load a dataset for the first time in a newer version of FiftyOne.
If you are working with a custom/shared MongoDB database, you can use database admin privileges to control which clients are allowed to upgrade your FiftyOne deployment.
If you need to downgrade to an older version of FiftyOne for any reason, you can do so.
Since new releases occasionally introduce backwards-incompatible changes to the data model, you must use the fiftyone migrate command to perform any necessary downward database migrations before installing the older version of FiftyOne.
Here’s the workflow for downgrading to an older version of FiftyOne:
# The version that you wish to downgrade to VERSION=0.15.1 # Migrate the database fiftyone migrate --all -v $VERSION # Now install the older version of `fiftyone` pip install fiftyone==$VERSION # Optional: verify that your datasets were migrated fiftyone migrate --info
If you are reading this after encountering an error resulting from downgrading
fiftyone package without first running
fiftyone migrate, don’t worry, you simply need to
reinstall the newer version of FiftyOne and then follow these instructions.
See this page if you need to install FiftyOne v0.7.3 or earlier.
If you are working with a custom/shared MongoDB database, you can use database admin privileges to control which clients are allowed to downgrade your FiftyOne deployment.
FiftyOne and all of its subpackages can be uninstalled with:
pip uninstall fiftyone fiftyone-brain fiftyone-db
If you installed the optional desktop App, you can uninstall it via:
pip uninstall fiftyone-desktop