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Showing content from https://developers.arcgis.com/python/latest/guide/system-requirements/ below:

System requirements | ArcGIS API for Python

The ArcGIS API for Python (2.4.0 and greater releases) is compatible with 64-bit versions of Windows, macOS (M-Series and Intel), and Linux.

Python 3.10.x to 3.12.x is required to use the ArcGIS API for Python 2.3.1 and greater releases.

The full power of the ArcGIS API for Python is best experienced when all its dependencies are installed. However, specific tasks such as GIS administration and content management can be accomplished with a subset of dependencies installed. See Install with minimum Dependencies to install the arcgis package in this manner.

It is recommended to install the arcgis package the default way of either conda install -c esri arcgis arcgis-mapping or pip install arcgis arcgis-mapping. When installed in this manner, all the below dependencies are automatically installed.

Note Most of these packages have dependencies of their own. For a full list of packages installed:

• conda environment, type conda list -n <environment_name>.
• pip environment, type pip list.

• anywidget

• cachetools

• certifi

• cryptography

• dask >=2024.12.1,<2025.1.0

• geomet

• ipywidgets >=8

• jupyterlab >=4.0.7,<5

• keyring >=23.3.0

• lxml

• matplotlib

• matplotlib-inline

• networkx

• numpy >=1.21.6,<2

• pandas >=2.0.0,<2.3.0

• pillow

• puremagic >=1.15,<2

• pyarrow >=14,<17

• pydantic >=2.8.2,<3

• pylerc

• pyspnego >=0.8.0

• requests >=2.32.3,<3

• requests-gssapi

• requests-kerberos

• requests-oauthlib

• requests-toolbelt

• truststore

• ujson >=3

• urllib3 >=2.1.0,<3

• websocket-client >=1.2.3,<2

• Windows only:

  • pywin32-security
  • requests-negotiate-sspi

Note: The dependencies above result from installing using conda. Versions may vary if arcgis is installed using pip.

Note: if arcpy is found in the current python environment, it may be used in various locations. Otherwise, gdal or pyshp will be used. See Spatially Enabled DataFrame for more information.

There are some other python packages that may be required to use certain functionality in the API, but are not automatically installed. To use that functionality, you must manually call conda install {package_name} or pip install {package_name} for such optional packages.

• gdal
  • if installed, gdal may be used as a geometry engine for certain operations

  Note: The gdal build on Esri anaconda channel is currently only compatible with environments configured with arcpy.

• pyshp
  • if installed, pyshp may be used as a geometry engine for certain operations

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