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Self-Managed AI Platform API resources

To access current and past Python and R clients and documentation, use the following links:

Resource Link
Current client PyPI
Archived clients PyPI release history
Documentation This docs site; ReadTheDocs for current and archived versions (use the version selector in the bottom left of the page to see past versions)
Resource Link
Current client and documentation CRAN
Archived client and docs CRAN Archive (docs are included in the client itself)

The table below lists each Self-Managed AI Platform minor release in column order: platform version, release date, REST API version, then the Python API client version.

Self-Managed AI Platform version Release date REST API version Python API client version
v11.8 April 27, 2026 v2.44 v3.15
v11.7 March 30, 2026 v2.43 v3.14
v11.6 March 7, 2026 v2.42 v3.13
v11.5 February 8, 2026 v2.41 v3.12
v11.4 December 18, 2025 v2.40 v3.11
v11.3 November 21, 2025 v2.39 v3.10
v11.2 October 30, 2025 v2.38 v3.9
v11.1 July 17, 2025 v2.37 v3.8
v11.0 April 14, 2025 v2.36 v3.7
v10.2 November 21, 2024 v2.35 v3.6
v10.1 July 15, 2024 v2.34 v3.5
v10.0 April 29, 2024 v2.33 v3.4
v9.2 November 22, 2023 v2.32 v3.3
v9.1 July 31, 2023 v2.31 v3.2
v9.0 March 29, 2023 v2.30 v3.1
v8.0 March 14, 2022 v2.28 v2.28
v7.3 December 13, 2021 v2.27 v2.27.3
v7.2 September 13, 2021 v2.26 v2.26.0
v7.1 June 14, 2021 v2.25 v2.25.1
v7.0 March 15, 2021 v2.24 v2.24.0

Note

Both the backend and clients use versioning in the format Major.Minor.Patch (e.g., v2.3.1), but there is no relationship between the patch version of the backend and the patch version of the clients. There is a requirement, however, that the backend version has a major.minor version equal to or greater than the client version. For example, a v2.2 client can "talk" to either a v2.2 backend or a v2.4 backend, but cannot be used with a v2.0 backend.

Install commands

See the install commands for Python and R over different versions below. The commands are grouped by major version (v5.x, v4.x, etc.). For Python v3.x clients used with Self-Managed v9.x through v11.x in the table above, use the matching version ranges from PyPI (for example, pip install "datarobot>=3.15,<3.16" for Python client v3.15).

v8.0

Python: pip install "datarobot>=2.28,<2.29"

R:

mkdir -p ~/datarobot_2.18.2 && tar -xvzf ~/Downloads/datarobot_2.18.2.tar.gz -C ~/datarobot_2.18.2

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.18.2/datarobot')

v7.x

Python: pip install "datarobot>=2.27.4,<2.28"

R:

mkdir -p ~/datarobot_2.18.2 && tar -xvzf ~/Downloads/datarobot_2.18.2.tar.gz -C ~/datarobot_2.18.2

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.18.2/datarobot')

Python: pip install "datarobot>=2.26.0,<2.27"

R:

mkdir -p ~/datarobot_2.18.2 && tar -xvzf ~/Downloads/datarobot_2.18.2.tar.gz -C ~/datarobot_2.18.2

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.18.2/datarobot')

Python: pip install "datarobot>=2.25.1,<2.26"

R:

mkdir -p ~/datarobot_2.18.2 && tar -xvzf ~/Downloads/datarobot_2.18.2.tar.gz -C ~/datarobot_2.18.2

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.18.2/datarobot')

Python: pip install "datarobot>=2.24.0,<2.25.1"

R:

mkdir -p ~/datarobot_2.18.2 && tar -xvzf ~/Downloads/datarobot_2.18.2.tar.gz -C ~/datarobot_2.18.2

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.18.2/datarobot')

v6.x

Python: pip install "datarobot>=2.23,<2.24"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.22.1,<2.23"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.21.5,<2.22.1"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.20.2,<2.21.5"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

v5.x

Python: pip install "datarobot>=2.19.0,<2.20"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.18,<2.19"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.17,<2.18"

R:

mkdir -p ~/datarobot_2.17.1 && tar -xvzf ~/Downloads/datarobot_2.17.1.tar.gz -C ~/datarobot_2.17.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.17.1/datarobot')

Python: pip install "datarobot>=2.15,<2.16"

R:

mkdir -p ~/datarobot_2.15.0 && tar -xvzf ~/Downloads/datarobot_2.15.0.tar.gz -C ~/datarobot_2.15.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.15.0/datarobot')

v4.x

Python: pip install "datarobot>=2.14,<2.15"

R:

mkdir -p ~/datarobot_2.14.0 && tar -xvzf ~/Downloads/datarobot_2.14.0.tar.gz -C ~/datarobot_2.14.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.14.0/datarobot')

Python: pip install "datarobot>=2.13,<2.14"

R:

mkdir -p ~/datarobot_2.13.0 && tar -xvzf ~/Downloads/datarobot_2.13.0.tar.gz -C ~/datarobot_2.13.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.13.0/datarobot')

Python: pip install "datarobot>=2.12,<2.13"

R:

mkdir -p ~/datarobot_2.12.1 && tar -xvzf ~/Downloads/datarobot_2.12.1.tar.gz -C ~/datarobot_2.12.1

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.12.1/datarobot')

Python: pip install "datarobot>=2.11,<2.12"

R:

mkdir -p ~/datarobot_2.11.0 && tar -xvzf ~/Downloads/datarobot_2.11.0.tar.gz -C ~/datarobot_2.11.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.11.0/datarobot')

Python: pip install "datarobot>=2.9,<2.10"

R:

mkdir -p ~/datarobot_2.9.0 && tar -xvzf ~/Downloads/datarobot_2.9.0.tar.gz -C ~/datarobot_2.9.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.9.0/datarobot')

Python: pip install "datarobot>=2.8,<2.9"

R:

mkdir -p ~/datarobot_2.8.0 && tar -xvzf ~/Downloads/datarobot_2.8.0.tar.gz -C ~/datarobot_2.8.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.8.0/datarobot')

v3.x

Python: pip install "datarobot>=2.7,<2.8"

R:

mkdir -p ~/datarobot_2.7.0 && tar -xvzf ~/Downloads/datarobot_2.7.0.tar.gz -C ~/datarobot_2.7.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.7.0/datarobot')

Python: pip install "datarobot>=2.8,<2.9"

R:

mkdir -p ~/datarobot_2.6.0 && tar -xvzf ~/Downloads/datarobot_2.6.0.tar.gz -C ~/datarobot_2.6.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.6.0/datarobot')

v2.x

Python: pip install "datarobot>=2.4,<2.5"

R:

mkdir -p ~/datarobot_2.4.0 && tar -xvzf ~/Downloads/datarobot_2.4.0.tar.gz -C ~/datarobot_2.4.0

install.packages('devtools') # (If you don't already have devtools on your system.)

devtools::install('~/datarobot_2.4.0/datarobot')

Python: pip install "datarobot>=2.0,<2.1"

R: install.packages("datarobot", type="source")