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Databricks Runtime 17.1 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 17.1. Databricks Runtime ML contains many popular machine learning libraries, including TensorFlow, PyTorch, and XGBoost. Databricks Runtime ML includes AutoML, a tool to automatically train machine learning pipelines. Databricks Runtime ML also supports distributed deep learning training using TorchDistributor, DeepSpeed, and Ray.
New features and improvements
Databricks Runtime 17.1 ML is built on top of Databricks Runtime 17.1. For information on what’s new in Databricks Runtime 17.1, including Apache Spark MLlib and SparkR, see the Databricks Runtime 17.1 release notes.
System environment
The system environment in Databricks Runtime 17.1 ML differs from Databricks Runtime 17.1 as follows.
- For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
- CUDA 12.6
- cublas 12.6.4.1-1
- cusolver 11.7.1.2-1
- cupti 12.6.80-1
- cusparse 12.5.4.2-1
- cuDNN 9.5.1.17-1
- NCCL 2.26.2
- TensorRT 10.2.0.19-1
Libraries
The following sections list the libraries included in Databricks Runtime 17.1 ML that differ from those included in Databricks Runtime 17.1.
In this section:
Top-tier libraries
Databricks Runtime 17.1 ML includes the following top-tier libraries:
- datasets
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- streaming
- TensorFlow
- TensorBoard
- transformers
Python libraries
Databricks Runtime 17.1 ML uses virtualenv for Python package management and includes many popular ML packages.
In addition to the packages specified in the following sections, Databricks Runtime 17.1 ML also includes the following packages:
- automl 1.30.0
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download requirements-cpu-17.1.txt for CPU clusters or requirements-gpu-17.1.txt for GPU clusters. Then run pip install -r requirements-<cpu|gpu>-17.1.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install libraries developed by Databricks, such as databricks-automl.
Python libraries on CPU clusters
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 1.5.2 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| alembic | 1.16.2 | annotated-types | 0.7.0 | anyio | 4.6.2 |
| argcomplete | 3.6.2 | argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 |
| arrow | 1.3.0 | astor | 0.8.1 | asttokens | 2.0.5 |
| astunparse | 1.6.3 | async-lru | 2.0.4 | attrs | 24.3.0 |
| audioread | 3.0.1 | autocommand | 2.2.2 | azure-common | 1.1.28 |
| azure-core | 1.35.0 | azure-cosmos | 4.3.1 | azure-identity | 1.20.0 |
| azure-mgmt-core | 1.6.0 | azure-mgmt-web | 8.0.0 | azure-storage-blob | 12.23.0 |
| azure-storage-file-datalake | 12.17.0 | babel | 2.16.0 | backoff | 2.2.1 |
| backports.tarfile | 1.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.12.3 |
| black | 24.10.0 | bleach | 6.2.0 | blinker | 1.7.0 |
| blis | 0.7.11 | boto3 | 1.36.2 | botocore | 1.36.3 |
| Brotli | 1.1.0 | cachetools | 5.5.1 | catalogue | 2.0.10 |
| category-encoders | 2.6.3 | certifi | 2025.1.31 | cffi | 1.17.1 |
| chardet | 4.0.0 | charset-normalizer | 3.3.2 | circuitbreaker | 2.1.3 |
| click | 8.1.7 | cloudpathlib | 0.21.1 | cloudpickle | 3.0.0 |
| cmdstanpy | 1.2.5 | colorful | 0.5.7 | colorlog | 6.9.0 |
| comm | 0.2.1 | confection | 0.1.5 | configparser | 5.2.0 |
| contourpy | 1.3.1 | coolname | 2.2.0 | cramjam | 2.10.0 |
| cryptography | 43.0.3 | cycler | 0.11.0 | cymem | 2.0.11 |
| Cython | 3.0.12 | dacite | 1.9.2 | databricks-automl-runtime | 0.2.21 |
| databricks-feature-engineering | 0.12.1 | databricks-sdk | 0.49.0 | datasets | 3.5.0 |
| dbl-tempo | 0.1.26 | dbus-python | 1.3.2 | debugpy | 1.8.11 |
| decorator | 5.1.1 | deepspeed | 0.16.5 | defusedxml | 0.7.1 |
| dill | 0.3.8 | distlib | 0.3.9 | dm-tree | 0.1.9 |
| docstring-to-markdown | 0.11 | einops | 0.8.1 | entrypoints | 0.4 |
| evaluate | 0.4.3 | executing | 0.8.3 | facets-overview | 1.1.1 |
| Farama-Notifications | 0.0.4 | fastapi | 0.115.14 | fastjsonschema | 2.21.1 |
| fasttext-wheel | 0.9.2 | filelock | 3.13.1 | Flask | 2.2.5 |
| flatbuffers | 25.2.10 | fonttools | 4.55.3 | fqdn | 1.5.1 |
| frozenlist | 1.5.0 | fsspec | 2023.5.0 | future | 0.18.3 |
| gast | 0.4.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.20.0 | google-auth | 2.40.3 | google-cloud-core | 2.4.3 |
| google-cloud-storage | 2.10.0 | google-crc32c | 1.7.1 | google-pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | gql | 3.5.3 |
| graphql-core | 3.2.4 | greenlet | 3.1.1 | grpcio | 1.67.0 |
| grpcio-status | 1.67.0 | gunicorn | 20.1.0 | gymnasium | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.12.1 | hjson | 3.1.0 |
| holidays | 0.54 | htmlmin | 0.1.12 | httpcore | 1.0.2 |
| httplib2 | 0.20.4 | httpx | 0.27.0 | huggingface-hub | 0.30.2 |
| idna | 3.7 | ImageHash | 4.3.1 | imageio | 2.37.0 |
| imbalanced-learn | 0.13.0 | importlib-metadata | 6.6.0 | importlib_resources | 6.5.2 |
| inflect | 7.3.1 | iniconfig | 1.1.1 | ipyflow-core | 0.0.209 |
| ipykernel | 6.29.5 | ipython | 8.30.0 | ipython-genutils | 0.2.0 |
| ipywidgets | 7.8.1 | isodate | 0.6.1 | isoduration | 20.11.0 |
| itsdangerous | 2.2.0 | jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 |
| jaraco.text | 3.12.1 | jax-jumpy | 1.0.0 | jedi | 0.19.2 |
| Jinja2 | 3.1.5 | jiter | 0.10.0 | jmespath | 1.0.1 |
| joblib | 1.4.2 | joblibspark | 0.6.0 | json5 | 0.9.25 |
| jsonpatch | 1.33 | jsonpointer | 3.0.0 | jsonschema | 4.23.0 |
| jsonschema-specifications | 2023.7.1 | jupyter-events | 0.10.0 | jupyter-lsp | 2.2.0 |
| jupyter_client | 8.6.3 | jupyter_core | 5.7.2 | jupyter_server | 2.14.1 |
| jupyter_server_terminals | 0.4.4 | jupyterlab | 4.3.4 | jupyterlab-pygments | 0.1.2 |
| jupyterlab-widgets | 1.0.0 | jupyterlab_server | 2.27.3 | keras | 3.5.0 |
| kiwisolver | 1.4.8 | langchain | 0.3.21 | langchain-core | 0.3.63 |
| langchain-text-splitters | 0.3.8 | langcodes | 3.5.0 | langsmith | 0.1.133 |
| language_data | 1.3.0 | launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 |
| lazr.uri | 1.0.6 | lazy_loader | 0.4 | libclang | 15.0.6.1 |
| librosa | 0.11.0 | lightgbm | 4.6.0 | lightning-utilities | 0.14.3 |
| linkify-it-py | 2.0.0 | llvmlite | 0.44.0 | lz4 | 4.3.2 |
| Mako | 1.2.0 | marisa-trie | 1.2.0 | Markdown | 3.4.1 |
| markdown-it-py | 2.2.0 | MarkupSafe | 3.0.2 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.17.2 | mistune | 2.0.4 |
| ml_dtypes | 0.5.1 | mlflow-skinny | 3.0.1 | mmh3 | 5.1.0 |
| more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 | mosaicml-streaming | 0.12.0 |
| mpmath | 1.3.0 | msal | 1.32.3 | msal-extensions | 1.3.1 |
| msgpack | 1.1.1 | multidict | 6.1.0 | multimethod | 1.12 |
| multiprocess | 0.70.16 | murmurhash | 1.0.13 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.8.0 | nbconvert | 7.16.4 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.11.1.4 | nltk | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.3 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-nccl-cu12 | 2.27.5 | oauthlib | 3.2.0 |
| oci | 2.155.0 | openai | 1.69.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opentelemetry-api | 1.34.1 | opentelemetry-sdk | 1.34.1 |
| opentelemetry-semantic-conventions | 0.55b1 | opt_einsum | 3.4.0 | optree | 0.16.0 |
| optuna | 3.6.1 | optuna-integration | 3.6.0 | orjson | 3.10.18 |
| overrides | 7.4.0 | packaging | 24.1 | pandas | 2.2.3 |
| pandocfilters | 1.5.0 | paramiko | 3.4.0 | parso | 0.8.4 |
| pathspec | 0.10.3 | patsy | 1.0.1 | pexpect | 4.8.0 |
| phik | 0.12.4 | pillow | 11.1.0 | pip | 24.2 |
| platformdirs | 3.10.0 | plotly | 5.24.1 | pluggy | 1.5.0 |
| pmdarima | 2.0.4 | pooch | 1.8.2 | preshed | 3.0.10 |
| prometheus_client | 0.21.0 | prompt-toolkit | 3.0.43 | propcache | 0.2.0 |
| prophet | 1.1.6 | proto-plus | 1.26.1 | protobuf | 5.29.4 |
| psutil | 5.9.0 | psycopg2 | 2.9.3 | ptyprocess | 0.7.0 |
| pure-eval | 0.2.2 | puremagic | 1.30 | py-cpuinfo | 9.0.0 |
| py-spy | 0.4.0 | pyarrow | 19.0.1 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.13.6 | pyccolo | 0.0.71 |
| pycparser | 2.21 | pydantic | 2.10.6 | pydantic_core | 2.27.2 |
| pyflakes | 3.2.0 | Pygments | 2.15.1 | PyGObject | 3.48.2 |
| pyiceberg | 0.9.0 | PyJWT | 2.10.1 | PyNaCl | 1.5.0 |
| pyodbc | 5.2.0 | pyOpenSSL | 24.2.1 | pyparsing | 3.2.0 |
| pyright | 1.1.394 | pytesseract | 0.3.10 | pytest | 8.3.5 |
| python-dateutil | 2.9.0.post0 | python-editor | 1.0.4 | python-json-logger | 3.2.1 |
| python-lsp-jsonrpc | 1.1.2 | python-lsp-server | 1.12.0 | python-snappy | 0.7.3 |
| pytoolconfig | 1.2.6 | pytorch-ranger | 0.1.1 | pytz | 2024.1 |
| PyWavelets | 1.8.0 | PyYAML | 6.0.2 | pyzmq | 26.2.0 |
| questionary | 2.1.0 | ray | 2.37.0 | referencing | 0.30.2 |
| regex | 2024.11.6 | requests | 2.32.3 | requests-oauthlib | 1.3.1 |
| requests-toolbelt | 1.0.0 | rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 |
| rich | 13.9.4 | rope | 1.12.0 | rpds-py | 0.22.3 |
| rsa | 4.9.1 | ruamel.yaml | 0.18.14 | ruamel.yaml.clib | 0.2.12 |
| s3transfer | 0.11.3 | safetensors | 0.5.3 | scikit-image | 0.25.0 |
| scikit-learn | 1.6.1 | scipy | 1.15.1 | seaborn | 0.13.2 |
| Send2Trash | 1.8.2 | sentence-transformers | 4.0.1 | sentencepiece | 0.2.0 |
| setuptools | 74.0.0 | shap | 0.47.1 | shellingham | 1.5.4 |
| simplejson | 3.17.6 | six | 1.16.0 | sklearn-compat | 0.1.3 |
| slicer | 0.0.8 | smart_open | 7.3.0.post1 | smmap | 5.0.0 |
| sniffio | 1.3.0 | sortedcontainers | 2.4.0 | soundfile | 0.13.1 |
| soupsieve | 2.5 | soxr | 0.5.0.post1 | spacy | 3.7.5 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.37 |
| sqlparse | 0.4.2 | srsly | 2.5.1 | ssh-import-id | 5.11 |
| stack-data | 0.2.0 | stanio | 0.5.1 | starlette | 0.46.2 |
| statsmodels | 0.14.4 | strictyaml | 1.7.3 | sympy | 1.13.3 |
| tabulate | 0.9.0 | tenacity | 9.0.0 | tensorboard | 2.19.0 |
| tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.4 | tensorflow | 2.19.0 |
| tensorflow-estimator | 2.15.0 | termcolor | 3.1.0 | terminado | 0.17.1 |
| textual | 3.5.0 | tf_keras | 2.19.0 | thinc | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2024.12.12 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | tokenizers | 0.21.0 |
| tomli | 2.0.1 | torch | 2.7.0+cpu | torch-optimizer | 0.3.0 |
| torcheval | 0.0.7 | torchmetrics | 1.6.0 | torchvision | 0.22.0+cpu |
| tornado | 6.4.2 | tqdm | 4.67.1 | traitlets | 5.14.3 |
| transformers | 4.51.3 | typeguard | 4.4.2 | typer | 0.16.0 |
| types-python-dateutil | 2.9.0.20250516 | typing_extensions | 4.12.2 | tzdata | 2024.1 |
| uc-micro-py | 1.0.1 | ujson | 5.10.0 | unattended-upgrades | 0.1 |
| uri-template | 1.3.0 | urllib3 | 2.3.0 | uvicorn | 0.35.0 |
| validators | 0.35.0 | virtualenv | 20.29.3 | visions | 0.8.1 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| weasel | 0.4.1 | webcolors | 24.11.1 | webencodings | 0.5.1 |
| websocket-client | 1.8.0 | websockets | 11.0.3 | Werkzeug | 3.1.3 |
| whatthepatch | 1.0.2 | wheel | 0.45.1 | widgetsnbextension | 3.6.6 |
| wordcloud | 1.9.4 | wrapt | 1.17.0 | xgboost | 3.0.0 |
| xgboost-ray | 0.1.19 | xxhash | 3.5.0 | yapf | 0.40.2 |
| yarl | 1.18.0 | ydata-profiling | 4.16.1 | zipp | 3.21.0 |
| zstd | 1.5.5.1 |
Python libraries on GPU clusters
Note
PyTorch uses the CUDA PyPI dependencies to provide CUDA support instead of the CUDA library versions that are built-in in Databricks Runtime 17.1 ML.
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 1.5.2 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| annotated-types | 0.7.0 | anyio | 4.6.2 | argcomplete | 3.6.2 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | arrow | 1.3.0 |
| astor | 0.8.1 | asttokens | 2.0.5 | astunparse | 1.6.3 |
| async-lru | 2.0.4 | attrs | 24.3.0 | audioread | 3.0.1 |
| autocommand | 2.2.2 | azure-common | 1.1.28 | azure-core | 1.35.0 |
| azure-cosmos | 4.3.1 | azure-identity | 1.20.0 | azure-mgmt-core | 1.6.0 |
| azure-mgmt-web | 8.0.0 | azure-storage-blob | 12.23.0 | azure-storage-file-datalake | 12.17.0 |
| babel | 2.16.0 | backoff | 2.2.1 | backports.tarfile | 1.2.0 |
| bcrypt | 3.2.0 | beautifulsoup4 | 4.12.3 | black | 24.10.0 |
| bleach | 6.2.0 | blinker | 1.7.0 | blis | 0.7.11 |
| boto3 | 1.36.2 | botocore | 1.36.3 | Brotli | 1.1.0 |
| cachetools | 5.5.1 | catalogue | 2.0.10 | category-encoders | 2.6.3 |
| certifi | 2025.1.31 | cffi | 1.17.1 | chardet | 4.0.0 |
| charset-normalizer | 3.3.2 | circuitbreaker | 2.1.3 | click | 8.1.7 |
| cloudpathlib | 0.21.1 | cloudpickle | 3.0.0 | cmdstanpy | 1.2.5 |
| colorful | 0.5.7 | colorlog | 6.9.0 | comm | 0.2.1 |
| confection | 0.1.5 | configparser | 5.2.0 | contourpy | 1.3.1 |
| coolname | 2.2.0 | cramjam | 2.10.0 | cryptography | 43.0.3 |
| cycler | 0.11.0 | cymem | 2.0.11 | Cython | 3.0.12 |
| dacite | 1.9.2 | databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.12.1 |
| databricks-sdk | 0.49.0 | datasets | 3.5.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.8.11 | decorator | 5.1.1 |
| deepspeed | 0.16.5 | defusedxml | 0.7.1 | dill | 0.3.8 |
| distlib | 0.3.9 | dm-tree | 0.1.9 | docstring-to-markdown | 0.11 |
| einops | 0.8.1 | entrypoints | 0.4 | evaluate | 0.4.3 |
| executing | 0.8.3 | facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastapi | 0.115.14 | fastjsonschema | 2.21.1 | fasttext-wheel | 0.9.2 |
| filelock | 3.13.1 | flash_attn | 2.7.4.post1 | Flask | 2.2.5 |
| flatbuffers | 25.2.10 | fonttools | 4.55.3 | fqdn | 1.5.1 |
| frozenlist | 1.5.0 | fsspec | 2023.5.0 | future | 0.18.3 |
| gast | 0.4.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.20.0 | google-auth | 2.40.3 | google-cloud-core | 2.4.3 |
| google-cloud-storage | 2.10.0 | google-crc32c | 1.7.1 | google-pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | gql | 3.5.3 |
| graphql-core | 3.2.4 | greenlet | 3.1.1 | grpcio | 1.67.0 |
| grpcio-status | 1.67.0 | gunicorn | 20.1.0 | gymnasium | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.12.1 | hjson | 3.1.0 |
| holidays | 0.54 | htmlmin | 0.1.12 | httpcore | 1.0.2 |
| httplib2 | 0.20.4 | httpx | 0.27.0 | huggingface-hub | 0.30.2 |
| idna | 3.7 | ImageHash | 4.3.1 | imageio | 2.37.0 |
| imbalanced-learn | 0.13.0 | importlib-metadata | 6.6.0 | importlib_resources | 6.5.2 |
| inflect | 7.3.1 | iniconfig | 1.1.1 | ipyflow-core | 0.0.209 |
| ipykernel | 6.29.5 | ipython | 8.30.0 | ipython-genutils | 0.2.0 |
| ipywidgets | 7.8.1 | isodate | 0.6.1 | isoduration | 20.11.0 |
| itsdangerous | 2.2.0 | jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 |
| jaraco.text | 3.12.1 | jax-jumpy | 1.0.0 | jedi | 0.19.2 |
| Jinja2 | 3.1.5 | jiter | 0.10.0 | jmespath | 1.0.1 |
| joblib | 1.4.2 | joblibspark | 0.6.0 | json5 | 0.9.25 |
| jsonpatch | 1.33 | jsonpointer | 3.0.0 | jsonschema | 4.23.0 |
| jsonschema-specifications | 2023.7.1 | jupyter-events | 0.10.0 | jupyter-lsp | 2.2.0 |
| jupyter_client | 8.6.3 | jupyter_core | 5.7.2 | jupyter_server | 2.14.1 |
| jupyter_server_terminals | 0.4.4 | jupyterlab | 4.3.4 | jupyterlab-pygments | 0.1.2 |
| jupyterlab-widgets | 1.0.0 | jupyterlab_server | 2.27.3 | keras | 3.5.0 |
| kiwisolver | 1.4.8 | langchain | 0.3.21 | langchain-core | 0.3.63 |
| langchain-text-splitters | 0.3.8 | langcodes | 3.5.0 | langsmith | 0.1.133 |
| language_data | 1.3.0 | launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 |
| lazr.uri | 1.0.6 | lazy_loader | 0.4 | libclang | 15.0.6.1 |
| librosa | 0.11.0 | lightgbm | 4.6.0 | lightning-utilities | 0.14.3 |
| linkify-it-py | 2.0.0 | llvmlite | 0.44.0 | lz4 | 4.3.2 |
| Mako | 1.2.0 | marisa-trie | 1.2.0 | Markdown | 3.4.1 |
| markdown-it-py | 2.2.0 | MarkupSafe | 3.0.2 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.17.2 | mistune | 2.0.4 |
| ml_dtypes | 0.5.1 | mlflow-skinny | 3.0.1 | mmh3 | 5.1.0 |
| more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 | mosaicml-streaming | 0.12.0 |
| mpmath | 1.3.0 | msal | 1.32.3 | msal-extensions | 1.3.1 |
| msgpack | 1.1.1 | multidict | 6.1.0 | multimethod | 1.12 |
| multiprocess | 0.70.16 | murmurhash | 1.0.13 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.8.0 | nbconvert | 7.16.4 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.11.1.4 | nltk | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.3 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-cublas-cu12 | 12.6.4.1 | nvidia-cuda-cupti-cu12 | 12.6.80 |
| nvidia-cuda-nvrtc-cu12 | 12.6.77 | nvidia-cuda-runtime-cu12 | 12.6.77 | nvidia-cudnn-cu12 | 9.5.1.17 |
| nvidia-cufft-cu12 | 11.3.0.4 | nvidia-cufile-cu12 | 1.11.1.6 | nvidia-curand-cu12 | 10.3.7.77 |
| nvidia-cusolver-cu12 | 11.7.1.2 | nvidia-cusparse-cu12 | 12.5.4.2 | nvidia-cusparselt-cu12 | 0.6.3 |
| nvidia-nccl-cu12 | 2.26.2 | nvidia-nvjitlink-cu12 | 12.6.85 | nvidia-nvtx-cu12 | 12.6.77 |
| oauthlib | 3.2.0 | oci | 2.155.0 | openai | 1.69.0 |
| opencensus | 0.11.4 | opencensus-context | 0.1.3 | opentelemetry-api | 1.34.1 |
| opentelemetry-sdk | 1.34.1 | opentelemetry-semantic-conventions | 0.55b1 | opt_einsum | 3.4.0 |
| optree | 0.16.0 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
| orjson | 3.10.18 | overrides | 7.4.0 | packaging | 24.1 |
| pandas | 2.2.3 | pandocfilters | 1.5.0 | paramiko | 3.4.0 |
| parso | 0.8.4 | pathspec | 0.10.3 | patsy | 1.0.1 |
| pexpect | 4.8.0 | phik | 0.12.4 | pillow | 11.1.0 |
| pip | 24.2 | platformdirs | 3.10.0 | plotly | 5.24.1 |
| pluggy | 1.5.0 | pmdarima | 2.0.4 | pooch | 1.8.2 |
| preshed | 3.0.10 | prometheus_client | 0.21.0 | prompt-toolkit | 3.0.43 |
| propcache | 0.2.0 | prophet | 1.1.6 | proto-plus | 1.26.1 |
| protobuf | 5.29.4 | psutil | 5.9.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | puremagic | 1.30 |
| py-cpuinfo | 9.0.0 | py-spy | 0.4.0 | pyarrow | 19.0.1 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pybind11 | 2.13.6 |
| pyccolo | 0.0.71 | pycparser | 2.21 | pydantic | 2.10.6 |
| pydantic_core | 2.27.2 | pyflakes | 3.2.0 | Pygments | 2.15.1 |
| PyGObject | 3.48.2 | pyiceberg | 0.9.0 | PyJWT | 2.10.1 |
| PyNaCl | 1.5.0 | pyodbc | 5.2.0 | pyOpenSSL | 24.2.1 |
| pyparsing | 3.2.0 | pyright | 1.1.394 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | python-editor | 1.0.4 |
| python-json-logger | 3.2.1 | python-lsp-jsonrpc | 1.1.2 | python-lsp-server | 1.12.0 |
| python-snappy | 0.7.3 | pytoolconfig | 1.2.6 | pytorch-ranger | 0.1.1 |
| pytz | 2024.1 | PyWavelets | 1.8.0 | PyYAML | 6.0.2 |
| pyzmq | 26.2.0 | questionary | 2.1.0 | ray | 2.37.0 |
| referencing | 0.30.2 | regex | 2024.11.6 | requests | 2.32.3 |
| requests-oauthlib | 1.3.1 | requests-toolbelt | 1.0.0 | rfc3339-validator | 0.1.4 |
| rfc3986-validator | 0.1.1 | rich | 13.9.4 | rope | 1.12.0 |
| rpds-py | 0.22.3 | rsa | 4.9.1 | ruamel.yaml | 0.18.14 |
| ruamel.yaml.clib | 0.2.12 | s3transfer | 0.11.3 | safetensors | 0.5.3 |
| scikit-image | 0.25.0 | scikit-learn | 1.6.1 | scipy | 1.15.1 |
| seaborn | 0.13.2 | Send2Trash | 1.8.2 | sentence-transformers | 4.0.1 |
| sentencepiece | 0.2.0 | setuptools | 74.0.0 | shap | 0.47.1 |
| shellingham | 1.5.4 | simplejson | 3.17.6 | six | 1.16.0 |
| sklearn-compat | 0.1.3 | slicer | 0.0.8 | smart_open | 7.3.0.post1 |
| smmap | 5.0.0 | sniffio | 1.3.0 | sortedcontainers | 2.4.0 |
| soundfile | 0.13.1 | soupsieve | 2.5 | soxr | 0.5.0.post1 |
| spacy | 3.7.5 | spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 |
| SQLAlchemy | 2.0.37 | sqlparse | 0.4.2 | srsly | 2.5.1 |
| ssh-import-id | 5.11 | stack-data | 0.2.0 | stanio | 0.5.1 |
| starlette | 0.46.2 | statsmodels | 0.14.4 | strictyaml | 1.7.3 |
| sympy | 1.13.3 | tabulate | 0.9.0 | tenacity | 9.0.0 |
| tensorboard | 2.19.0 | tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.4 |
| tensorflow | 2.19.0 | tensorflow-estimator | 2.15.0 | termcolor | 3.1.0 |
| terminado | 0.17.1 | textual | 3.5.0 | tf_keras | 2.19.0 |
| thinc | 8.2.4 | threadpoolctl | 3.5.0 | tifffile | 2024.12.12 |
| tiktoken | 0.9.0 | tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 |
| tokenizers | 0.21.0 | tomli | 2.0.1 | torch | 2.7.0 |
| torch-optimizer | 0.3.0 | torcheval | 0.0.7 | torchmetrics | 1.6.0 |
| torchvision | 0.22.0 | tornado | 6.4.2 | tqdm | 4.67.1 |
| traitlets | 5.14.3 | transformers | 4.51.3 | triton | 3.3.0 |
| typeguard | 4.4.2 | typer | 0.16.0 | types-python-dateutil | 2.9.0.20250516 |
| typing_extensions | 4.12.2 | tzdata | 2024.1 | uc-micro-py | 1.0.1 |
| ujson | 5.10.0 | unattended-upgrades | 0.1 | uri-template | 1.3.0 |
| urllib3 | 2.3.0 | uvicorn | 0.35.0 | validators | 0.35.0 |
| virtualenv | 20.29.3 | visions | 0.8.1 | wadllib | 1.3.6 |
| wasabi | 1.1.3 | wcwidth | 0.2.5 | weasel | 0.4.1 |
| webcolors | 24.11.1 | webencodings | 0.5.1 | websocket-client | 1.8.0 |
| websockets | 11.0.3 | Werkzeug | 3.1.3 | whatthepatch | 1.0.2 |
| wheel | 0.45.1 | widgetsnbextension | 3.6.6 | wordcloud | 1.9.4 |
| wrapt | 1.17.0 | xgboost | 3.0.0 | xgboost-ray | 0.1.19 |
| xxhash | 3.5.0 | yapf | 0.40.2 | yarl | 1.18.0 |
| ydata-profiling | 4.16.1 | zipp | 3.21.0 | zstd | 1.5.5.1 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 17.1.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 17.1, Databricks Runtime 17.1 ML contains the following JARs:
CPU clusters
| Group ID | Artifact ID | Version |
|---|---|---|
| ml.dmlc | xgboost4j-spark_2.12 | 1.7.3 |
| ml.dmlc | xgboost4j_2.12 | 1.7.3 |
| org.graphframes | graphframes_2.12 | 0.8.4-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.15.1 |
| org.scala-lang.modules | scala-collection-compat_2.13 | 2.12.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
GPU clusters
| Group ID | Artifact ID | Version |
|---|---|---|
| ml.dmlc | xgboost4j-spark_2.12 | 1.7.3 |
| ml.dmlc | xgboost4j_2.12 | 1.7.3 |
| org.graphframes | graphframes_2.12 | 0.8.4-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.15.1 |
| org.scala-lang.modules | scala-collection-compat_2.13 | 2.12.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Unsupported releases
Tip
To see release notes for Databricks Runtime versions that have reached end-of-support (EoS), see End-of-support Databricks Runtime release notes. The EoS Databricks Runtime versions have been retired and might not be updated.