PyPI is the latest version.

Make sure you have Python 3.7+ and numpy installed on Linux/Mac/Windows:

pip install docarray

No extra dependencies are installed.

conda install -c conda-forge docarray

No extra dependencies are installed.

pip install "docarray[common]"

The following dependencies are installed to enable the most common features:


Used in


advanced serialization


compression in serialization


push/pull to Jina Cloud


visualizing image sprites


image data-related IO


used in embedding projector of DocumentArray


used in embedding projector of DocumentArray

pip install "docarray[full]"

In addition to common, the following dependencies are installed to enable full features:


Used in


sparse embedding, tensors


video processing and IO


3D mesh processing and IO


GraphQL support

Alternatively, you can first do basic installation and then install missing dependencies on-demand.

pip install "docarray[full,test]"

This installs all requirements for reproducing tests on your local dev environment.

>>> import docarray
>>> docarray.__version__
>>> from docarray import Document, DocumentArray

On Apple Silicon#

If you own a macOS device with an Apple Silicon M1/M2 chip, you can run DocArray natively on it (instead of running under Rosetta) and enjoy much better performance. This section summarizes how to install DocArray on Apple Silicon devices.

Check terminal and device#

To make sure you are using the right terminal, run:

uname -m

and it should return:


Install Homebrew#

brew is a package manager for macOS. If you have already installed it you need to confirm it is actually installed for Apple Silicon not for Rosetta. To check that, run:

which brew

If you find that it’s installed under /usr/local/ (rather than /opt/homebrew/), it means your brew is installed for Rosetta not for Apple Silicon. You need to reinstall it.


Reinstalling brew can be a destructive operation. Make sure you have backed up your data before proceeding.

To (re)install brew, run

/bin/bash -c "$(curl -fsSL"

You may want to observe the output to check if it contains /opt/homebrew to make sure you are installing for Apple Silicon.

Install Python#

Python has to be installed natively for Apple Silicon as well. It is possible it is installed for Rosetta, and you are not aware of that. To confirm, run:

import platform


which should give:


If not, then you are using Python under Rosetta, and you need to install Python for Apple Silicon with brew:

brew install python3

As of August 2022, this installs Python 3.10 natively for Apple Silicon.

Make sure to note down where python and pip are installed to. In this example, they are installed to /opt/homebrew/bin/python3 and /opt/homebrew/opt/python@3.10/libexec/bin/pip respectively.

Install dependencies wheels#

There are some core dependencies that DocArray needs to run, whose wheels are not available on PyPI but fortunately are available on wheel. To install them, run

brew install protobuf numpy

Install DocArray#

Now you can install Jina via pip. Note you need to use the right one:

/opt/homebrew/opt/python@3.10/libexec/bin/pip install docarray

Congratulations! You have successfully installed Jina on Apple Silicon.


To install MPS-enabled PyTorch, run

/opt/homebrew/opt/python@3.10/libexec/bin/pip install -U --pre torch torchvision torchaudio --extra-index-url