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Microsoft AzureDatabricks Runtime 16.0 for Machine Learning
Databricks Runtime 16.0 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 16.0. 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.
Note
These release notes may include references to features that are not available on Google Cloud as of this release.
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.
New features and improvements
Databricks Runtime 16.0 ML is built on top of Databricks Runtime 16.0. For information on what’s new in Databricks Runtime 16.0, including Apache Spark MLlib and SparkR, see the Databricks Runtime 16.0 release notes.
New Python packages
The following Python packages have been added to Databricks Runtime ML:
composer 0.24.1
optuna 3.6.1
AutoML sample weights for forecasting
AutoML now supports sample weights for forecasting, letting you adjust the importance of each time-series for training multi-time-series forecasting models. For more information, see the forecasting parameters for the AutoML Python API.
Use a view in Unity Catalog as a feature table
You can now use a view in Unity Catalog as a feature table. See Use an existing view in Unity Catalog as a feature table.
Other changes
Horovod, HorovodRunner, Petastorm, spark-tensorflow-distributor removed
The following packages that were included in previous versions of Databricks Runtime ML are not included in Databricks Runtime 16.0 ML:
Horovod
HorovodRunner
Petastorm
spark-tensorflow-distributor
Databricks recommends the following replacements:
For distributed deep learning, Databricks recommends using TorchDistributor for distributed training with PyTorch or the
tf.distribute.StrategyAPI for distributed training with TensorFlow.For loading large datasets from cloud storage, Databricks recommends using Mosaic Streaming.
For distributed training for a TensorFlow or Keras model, Databricks recommends using Ray. See Ray on Databricks and the Ray documentation.
System environment
The system environment in Databricks Runtime 16.0 ML differs from Databricks Runtime 16.0 as follows:
For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 12.6
cublas 12.6.0.22-1
cusolver 11.6.4.38-1
cupti 12.6.37-1
cusparse 12.5.2.23-1
cuDNN 9.3.0.75-1
NCCL 2.22.3
TensorRT 10.2.0.19-1
Libraries
The following sections list the libraries included in Databricks Runtime 16.0 ML that differ from those included in Databricks Runtime 16.0.
In this section:
Top-tier libraries
Databricks Runtime 16.0 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 16.0 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 16.0 ML also includes the following packages:
hyperopt 0.2.7+db5
automl 1.29.0
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-16.0.txt file and run pip install -r requirements-16.0.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, databricks-feature-engineering, or the Databricks fork of hyperopt.
Python libraries on CPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.33.0 |
aiohttp |
3.9.5 |
aiohttp-cors |
0.7.0 |
aiosignal |
1.2.0 |
alembic |
1.13.3 |
annotated-types |
0.7.0 |
anyio |
4.2.0 |
argcomplete |
3.5.0 |
argon2-cffi |
21.3.0 |
argon2-cffi-bindings |
21.2.0 |
arrow |
1.2.3 |
astor |
0.8.1 |
asttokens |
2.0.5 |
astunparse |
1.6.3 |
async-lru |
2.0.4 |
attrs |
23.1.0 |
audioread |
3.0.1 |
autocommand |
2.2.2 |
azure-core |
1.31.0 |
azure-cosmos |
4.3.1 |
azure-identity |
1.18.0 |
azure-storage-blob |
12.23.1 |
azure-storage-file-datalake |
12.17.0 |
Babel |
2.11.0 |
backoff |
2.2.1 |
backports.tarfile |
1.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.12.3 |
black |
24.4.2 |
bleach |
4.1.0 |
blinker |
1.7.0 |
blis |
0.7.11 |
boto3 |
1.34.69 |
botocore |
1.34.69 |
Brotli |
1.0.9 |
cachetools |
5.3.3 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2024.6.2 |
cffi |
1.16.0 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
circuitbreaker |
2.0.0 |
click |
8.1.7 |
cloudpathlib |
0.19.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.4 |
colorful |
0.5.6 |
colorlog |
6.8.2 |
comm |
0.2.1 |
composer |
0.24.1 |
confection |
0.1.5 |
configparser |
5.2.0 |
contourpy |
1.2.0 |
coolname |
2.2.0 |
cryptography |
42.0.5 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
3.0.11 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.21 |
databricks-feature-engineering |
0.7.0 |
databricks-sdk |
0.30.0 |
datasets |
2.20.0 |
dbl-tempo |
0.1.26 |
dbus-python |
1.3.2 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.14.4 |
defusedxml |
0.7.1 |
Deprecated |
1.2.14 |
dill |
0.3.8 |
distlib |
0.3.8 |
dm-tree |
0.1.8 |
docstring-to-markdown |
0.11 |
entrypoints |
0.4 |
evaluate |
0.4.2 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
fastjsonschema |
2.20.0 |
fasttext-wheel |
0.9.2 |
filelock |
3.13.1 |
Flask |
2.2.5 |
flatbuffers |
24.3.25 |
fonttools |
4.51.0 |
fqdn |
1.5.1 |
frozenlist |
1.4.0 |
fsspec |
2023.5.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.37 |
google-api-core |
2.20.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.10.0 |
google-crc32c |
1.6.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.2 |
googleapis-common-protos |
1.65.0 |
gql |
3.5.0 |
graphql-core |
3.2.4 |
greenlet |
3.0.1 |
grpcio |
1.60.0 |
grpcio-status |
1.60.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
gymnasium |
0.28.1 |
h11 |
0.14.0 |
h5py |
3.11.0 |
hjson |
3.1.0 |
holidays |
0.54 |
htmlmin |
0.1.12 |
httpcore |
1.0.5 |
httplib2 |
0.20.4 |
httpx |
0.27.2 |
huggingface-hub |
0.24.5 |
idna |
3.7 |
ImageHash |
4.3.1 |
imageio |
2.33.1 |
imbalanced-learn |
0.12.3 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.4.5 |
inflect |
7.3.1 |
ipyflow-core |
0.0.201 |
ipykernel |
6.28.0 |
ipython |
8.25.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.2 |
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 |
0.19.1 |
Jinja2 |
3.1.4 |
jiter |
0.5.0 |
jmespath |
1.0.1 |
joblib |
1.4.2 |
joblibspark |
0.5.1 |
json5 |
0.9.6 |
jsonpatch |
1.33 |
jsonpointer |
3.0.0 |
jsonschema |
4.19.2 |
jsonschema-specifications |
2023.7.1 |
jupyter-events |
0.10.0 |
jupyter-lsp |
2.2.0 |
jupyter_client |
8.6.0 |
jupyter_core |
5.7.2 |
jupyter_server |
2.14.1 |
jupyter_server_terminals |
0.4.4 |
jupyterlab |
4.0.11 |
jupyterlab-pygments |
0.1.2 |
jupyterlab_server |
2.25.1 |
keras |
3.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.2.12 |
langchain-core |
0.2.41 |
langchain-text-splitters |
0.2.4 |
langcodes |
3.4.1 |
langsmith |
0.1.129 |
language_data |
1.2.0 |
launchpadlib |
1.11.0 |
lazr.restfulclient |
0.14.6 |
lazr.uri |
1.0.6 |
lazy_loader |
0.4 |
libclang |
15.0.6.1 |
librosa |
0.10.2 |
lightgbm |
4.5.0 |
lightning-utilities |
0.11.7 |
linkify-it-py |
2.0.0 |
llvmlite |
0.42.0 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
marisa-trie |
1.2.0 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.3 |
matplotlib |
3.8.4 |
matplotlib-inline |
0.1.6 |
mccabe |
0.7.0 |
mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 |
memray |
1.14.0 |
mistune |
2.0.4 |
ml-dtypes |
0.4.1 |
mlflow-skinny |
2.15.1 |
more-itertools |
10.3.0 |
mosaicml-cli |
0.6.41 |
mosaicml-streaming |
0.8.0 |
mpmath |
1.3.0 |
msal |
1.31.0 |
msal-extensions |
1.2.0 |
msgpack |
1.1.0 |
multidict |
6.0.4 |
multimethod |
1.12 |
multiprocess |
0.70.16 |
murmurhash |
1.0.10 |
mypy |
1.10.0 |
mypy-extensions |
1.0.0 |
namex |
0.0.8 |
nbclient |
0.8.0 |
nbconvert |
7.10.0 |
nbformat |
5.9.2 |
nest-asyncio |
1.6.0 |
networkx |
3.2.1 |
ninja |
1.11.1.1 |
nltk |
3.8.1 |
nodeenv |
1.9.1 |
notebook |
7.0.8 |
notebook_shim |
0.2.3 |
numba |
0.59.1 |
numpy |
1.26.4 |
nvidia-ml-py |
12.560.30 |
oauthlib |
3.2.0 |
oci |
2.135.0 |
openai |
1.40.2 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opentelemetry-api |
1.27.0 |
opentelemetry-sdk |
1.27.0 |
opentelemetry-semantic-conventions |
0.48b0 |
opt_einsum |
3.4.0 |
optree |
0.12.1 |
optuna |
3.6.1 |
optuna-integration |
3.6.0 |
orjson |
3.10.7 |
overrides |
7.4.0 |
packaging |
24.1 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
3.4.0 |
parso |
0.8.3 |
pathspec |
0.10.3 |
patsy |
0.5.6 |
pexpect |
4.8.0 |
phik |
0.12.4 |
pillow |
10.3.0 |
pip |
24.2 |
platformdirs |
3.10.0 |
plotly |
5.22.0 |
pluggy |
1.0.0 |
pmdarima |
2.0.4 |
pooch |
1.8.2 |
portalocker |
2.10.1 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.43 |
prophet |
1.1.5 |
proto-plus |
1.24.0 |
protobuf |
4.24.1 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
9.0.0 |
py-spy |
0.3.14 |
pyarrow |
15.0.2 |
pyarrow-hotfix |
0.6 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.13.6 |
pyccolo |
0.0.65 |
pycparser |
2.21 |
pydantic |
2.8.2 |
pydantic_core |
2.20.1 |
pyflakes |
3.2.0 |
Pygments |
2.15.1 |
PyGObject |
3.48.2 |
PyJWT |
2.7.0 |
PyNaCl |
1.5.0 |
pyodbc |
5.0.1 |
pyOpenSSL |
24.0.0 |
pyparsing |
3.0.9 |
pyright |
1.1.294 |
pytesseract |
0.3.10 |
python-dateutil |
2.9.0.post0 |
python-editor |
1.0.4 |
python-json-logger |
2.0.7 |
python-lsp-jsonrpc |
1.1.2 |
python-lsp-server |
1.10.0 |
python-snappy |
0.6.1 |
pytoolconfig |
1.2.6 |
pytorch-ranger |
0.1.1 |
pytz |
2024.1 |
PyWavelets |
1.5.0 |
PyYAML |
6.0.1 |
pyzmq |
25.1.2 |
questionary |
1.10.0 |
ray |
2.35.0 |
referencing |
0.30.2 |
regex |
2023.10.3 |
requests |
2.32.2 |
requests-oauthlib |
1.3.1 |
rfc3339-validator |
0.1.4 |
rfc3986-validator |
0.1.1 |
rich |
13.3.5 |
rope |
1.12.0 |
rpds-py |
0.10.6 |
rsa |
4.9 |
ruamel.yaml |
0.18.6 |
ruamel.yaml.clib |
0.2.8 |
s3transfer |
0.10.2 |
safetensors |
0.4.4 |
scikit-image |
0.23.2 |
scikit-learn |
1.4.2 |
scipy |
1.13.1 |
seaborn |
0.13.2 |
Send2Trash |
1.8.2 |
sentence-transformers |
3.0.1 |
sentencepiece |
0.2.0 |
setuptools |
74.0.0 |
shap |
0.46.0 |
shellingham |
1.5.4 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.8 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
sniffio |
1.3.0 |
soundfile |
0.12.1 |
soupsieve |
2.5 |
soxr |
0.5.0.post1 |
spacy |
3.7.5 |
spacy-legacy |
3.0.12 |
spacy-loggers |
1.0.5 |
SQLAlchemy |
2.0.30 |
sqlparse |
0.4.2 |
srsly |
2.4.8 |
ssh-import-id |
5.11 |
stack-data |
0.2.0 |
stanio |
0.5.1 |
statsmodels |
0.14.2 |
sympy |
1.12 |
tabulate |
0.9.0 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.17.0 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.17.0 |
tensorboardX |
2.6.2.2 |
tensorflow |
2.17.0 |
tensorflow-estimator |
2.15.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
textual |
0.81.0 |
tf_keras |
2.17.0 |
thinc |
8.2.5 |
threadpoolctl |
2.2.0 |
tifffile |
2023.4.12 |
tiktoken |
0.7.0 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.19.1 |
tomli |
2.0.1 |
torch |
2.4.0+cpu |
torch-optimizer |
0.3.0 |
torcheval |
0.0.7 |
torchmetrics |
1.4.0.post0 |
torchvision |
0.19.0+cpu |
tornado |
6.4.1 |
tqdm |
4.66.4 |
traitlets |
5.14.3 |
transformers |
4.44.0 |
typeguard |
4.3.0 |
typer |
0.12.5 |
types-protobuf |
3.20.3 |
types-psutil |
5.9.0 |
types-pytz |
2023.3.1.1 |
types-PyYAML |
6.0.0 |
types-requests |
2.31.0.0 |
types-setuptools |
68.0.0.0 |
types-six |
1.16.0 |
types-urllib3 |
1.26.25.14 |
typing_extensions |
4.11.0 |
uc-micro-py |
1.0.1 |
ujson |
5.10.0 |
unattended-upgrades |
0.1 |
uri-template |
1.3.0 |
urllib3 |
1.26.16 |
validators |
0.34.0 |
virtualenv |
20.26.2 |
visions |
0.7.5 |
wadllib |
1.3.6 |
wasabi |
1.1.3 |
wcwidth |
0.2.5 |
weasel |
0.4.1 |
webcolors |
24.8.0 |
webencodings |
0.5.1 |
websocket-client |
1.8.0 |
websockets |
11.0.3 |
Werkzeug |
3.0.3 |
whatthepatch |
1.0.2 |
wheel |
0.43.0 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
2.0.3 |
xgboost-ray |
0.1.19 |
xxhash |
3.4.1 |
yapf |
0.33.0 |
yarl |
1.9.3 |
ydata-profiling |
4.9.0 |
zipp |
3.17.0 |
zstd |
1.5.5.1 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.33.0 |
aiohttp |
3.9.5 |
aiohttp-cors |
0.7.0 |
aiosignal |
1.2.0 |
annotated-types |
0.7.0 |
anyio |
4.2.0 |
argcomplete |
3.5.0 |
argon2-cffi |
21.3.0 |
argon2-cffi-bindings |
21.2.0 |
arrow |
1.2.3 |
astor |
0.8.1 |
asttokens |
2.0.5 |
astunparse |
1.6.3 |
async-lru |
2.0.4 |
attrs |
23.1.0 |
audioread |
3.0.1 |
autocommand |
2.2.2 |
azure-core |
1.31.0 |
azure-cosmos |
4.3.1 |
azure-identity |
1.18.0 |
azure-storage-blob |
12.23.1 |
azure-storage-file-datalake |
12.17.0 |
Babel |
2.11.0 |
backoff |
2.2.1 |
backports.tarfile |
1.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.12.3 |
black |
24.4.2 |
bleach |
4.1.0 |
blinker |
1.7.0 |
blis |
0.7.11 |
boto3 |
1.34.69 |
botocore |
1.34.69 |
Brotli |
1.0.9 |
cachetools |
5.3.3 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2024.6.2 |
cffi |
1.16.0 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
circuitbreaker |
2.0.0 |
click |
8.1.7 |
cloudpathlib |
0.19.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.4 |
colorful |
0.5.6 |
colorlog |
6.8.2 |
comm |
0.2.1 |
composer |
0.24.1 |
confection |
0.1.5 |
configparser |
5.2.0 |
contourpy |
1.2.0 |
coolname |
2.2.0 |
cryptography |
42.0.5 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
3.0.11 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.21 |
databricks-feature-engineering |
0.7.0 |
databricks-sdk |
0.30.0 |
datasets |
2.20.0 |
dbl-tempo |
0.1.26 |
dbus-python |
1.3.2 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.14.4 |
defusedxml |
0.7.1 |
Deprecated |
1.2.14 |
dill |
0.3.8 |
distlib |
0.3.8 |
dm-tree |
0.1.8 |
docstring-to-markdown |
0.11 |
einops |
0.8.0 |
entrypoints |
0.4 |
evaluate |
0.4.2 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
fastjsonschema |
2.20.0 |
fasttext-wheel |
0.9.2 |
filelock |
3.13.1 |
flash_attn |
2.5.6 |
Flask |
2.2.5 |
flatbuffers |
24.3.25 |
fonttools |
4.51.0 |
fqdn |
1.5.1 |
frozenlist |
1.4.0 |
fsspec |
2023.5.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.37 |
google-api-core |
2.20.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.10.0 |
google-crc32c |
1.6.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.2 |
googleapis-common-protos |
1.65.0 |
gql |
3.5.0 |
graphql-core |
3.2.4 |
greenlet |
3.0.1 |
grpcio |
1.60.0 |
grpcio-status |
1.60.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
gymnasium |
0.28.1 |
h11 |
0.14.0 |
h5py |
3.11.0 |
hjson |
3.1.0 |
holidays |
0.54 |
htmlmin |
0.1.12 |
httpcore |
1.0.5 |
httplib2 |
0.20.4 |
httpx |
0.27.2 |
huggingface-hub |
0.24.5 |
idna |
3.7 |
ImageHash |
4.3.1 |
imageio |
2.33.1 |
imbalanced-learn |
0.12.3 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.4.5 |
inflect |
7.3.1 |
ipyflow-core |
0.0.201 |
ipykernel |
6.28.0 |
ipython |
8.25.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.2 |
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 |
0.19.1 |
Jinja2 |
3.1.4 |
jiter |
0.5.0 |
jmespath |
1.0.1 |
joblib |
1.4.2 |
joblibspark |
0.5.1 |
json5 |
0.9.6 |
jsonpatch |
1.33 |
jsonpointer |
3.0.0 |
jsonschema |
4.19.2 |
jsonschema-specifications |
2023.7.1 |
jupyter-events |
0.10.0 |
jupyter-lsp |
2.2.0 |
jupyter_client |
8.6.0 |
jupyter_core |
5.7.2 |
jupyter_server |
2.14.1 |
jupyter_server_terminals |
0.4.4 |
jupyterlab |
4.0.11 |
jupyterlab-pygments |
0.1.2 |
jupyterlab_server |
2.25.1 |
keras |
3.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.2.12 |
langchain-core |
0.2.41 |
langchain-text-splitters |
0.2.4 |
langcodes |
3.4.1 |
langsmith |
0.1.129 |
language_data |
1.2.0 |
launchpadlib |
1.11.0 |
lazr.restfulclient |
0.14.6 |
lazr.uri |
1.0.6 |
lazy_loader |
0.4 |
libclang |
15.0.6.1 |
librosa |
0.10.2 |
lightgbm |
4.5.0 |
lightning-utilities |
0.11.7 |
linkify-it-py |
2.0.0 |
llvmlite |
0.42.0 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
marisa-trie |
1.2.0 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.3 |
matplotlib |
3.8.4 |
matplotlib-inline |
0.1.6 |
mccabe |
0.7.0 |
mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 |
memray |
1.14.0 |
mistune |
2.0.4 |
ml-dtypes |
0.4.1 |
mlflow-skinny |
2.15.1 |
more-itertools |
10.3.0 |
mosaicml-cli |
0.6.41 |
mosaicml-streaming |
0.8.0 |
mpmath |
1.3.0 |
msal |
1.31.0 |
msal-extensions |
1.2.0 |
msgpack |
1.1.0 |
multidict |
6.0.4 |
multimethod |
1.12 |
multiprocess |
0.70.16 |
murmurhash |
1.0.10 |
mypy |
1.10.0 |
mypy-extensions |
1.0.0 |
namex |
0.0.8 |
nbclient |
0.8.0 |
nbconvert |
7.10.0 |
nbformat |
5.9.2 |
nest-asyncio |
1.6.0 |
networkx |
3.2.1 |
ninja |
1.11.1.1 |
nltk |
3.8.1 |
nodeenv |
1.9.1 |
notebook |
7.0.8 |
notebook_shim |
0.2.3 |
numba |
0.59.1 |
numpy |
1.26.4 |
nvidia-cublas-cu12 |
12.4.2.65 |
nvidia-cuda-cupti-cu12 |
12.4.99 |
nvidia-cuda-nvrtc-cu12 |
12.4.99 |
nvidia-cuda-runtime-cu12 |
12.4.99 |
nvidia-cudnn-cu12 |
9.1.0.70 |
nvidia-cufft-cu12 |
11.2.0.44 |
nvidia-curand-cu12 |
10.3.5.119 |
nvidia-cusolver-cu12 |
11.6.0.99 |
nvidia-cusparse-cu12 |
12.3.0.142 |
nvidia-ml-py |
12.560.30 |
nvidia-nccl-cu12 |
2.20.5 |
nvidia-nvjitlink-cu12 |
12.4.99 |
nvidia-nvtx-cu12 |
12.4.99 |
oauthlib |
3.2.0 |
oci |
2.135.0 |
openai |
1.40.2 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opentelemetry-api |
1.27.0 |
opentelemetry-sdk |
1.27.0 |
opentelemetry-semantic-conventions |
0.48b0 |
opt_einsum |
3.4.0 |
optree |
0.12.1 |
optuna |
3.6.1 |
optuna-integration |
3.6.0 |
orjson |
3.10.7 |
overrides |
7.4.0 |
packaging |
24.1 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
3.4.0 |
parso |
0.8.3 |
pathspec |
0.10.3 |
patsy |
0.5.6 |
pexpect |
4.8.0 |
phik |
0.12.4 |
pillow |
10.3.0 |
pip |
24.2 |
platformdirs |
3.10.0 |
plotly |
5.22.0 |
pluggy |
1.0.0 |
pmdarima |
2.0.4 |
pooch |
1.8.2 |
portalocker |
2.10.1 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.43 |
prophet |
1.1.5 |
proto-plus |
1.24.0 |
protobuf |
4.24.1 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
9.0.0 |
py-spy |
0.3.14 |
pyarrow |
15.0.2 |
pyarrow-hotfix |
0.6 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.13.6 |
pyccolo |
0.0.65 |
pycparser |
2.21 |
pydantic |
2.8.2 |
pydantic_core |
2.20.1 |
pyflakes |
3.2.0 |
Pygments |
2.15.1 |
PyGObject |
3.48.2 |
PyJWT |
2.7.0 |
PyNaCl |
1.5.0 |
pyodbc |
5.0.1 |
pyOpenSSL |
24.0.0 |
pyparsing |
3.0.9 |
pyright |
1.1.294 |
pytesseract |
0.3.10 |
python-dateutil |
2.9.0.post0 |
python-editor |
1.0.4 |
python-json-logger |
2.0.7 |
python-lsp-jsonrpc |
1.1.2 |
python-lsp-server |
1.10.0 |
python-snappy |
0.6.1 |
pytoolconfig |
1.2.6 |
pytorch-ranger |
0.1.1 |
pytz |
2024.1 |
PyWavelets |
1.5.0 |
PyYAML |
6.0.1 |
pyzmq |
25.1.2 |
questionary |
1.10.0 |
ray |
2.35.0 |
referencing |
0.30.2 |
regex |
2023.10.3 |
requests |
2.32.2 |
requests-oauthlib |
1.3.1 |
rfc3339-validator |
0.1.4 |
rfc3986-validator |
0.1.1 |
rich |
13.3.5 |
rope |
1.12.0 |
rpds-py |
0.10.6 |
rsa |
4.9 |
ruamel.yaml |
0.18.6 |
ruamel.yaml.clib |
0.2.8 |
s3transfer |
0.10.2 |
safetensors |
0.4.4 |
scikit-image |
0.23.2 |
scikit-learn |
1.4.2 |
scipy |
1.13.1 |
seaborn |
0.13.2 |
Send2Trash |
1.8.2 |
sentence-transformers |
3.0.1 |
sentencepiece |
0.2.0 |
setuptools |
74.0.0 |
shap |
0.46.0 |
shellingham |
1.5.4 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.8 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
sniffio |
1.3.0 |
soundfile |
0.12.1 |
soupsieve |
2.5 |
soxr |
0.5.0.post1 |
spacy |
3.7.5 |
spacy-legacy |
3.0.12 |
spacy-loggers |
1.0.5 |
SQLAlchemy |
2.0.30 |
sqlparse |
0.4.2 |
srsly |
2.4.8 |
ssh-import-id |
5.11 |
stack-data |
0.2.0 |
stanio |
0.5.1 |
statsmodels |
0.14.2 |
sympy |
1.12 |
tabulate |
0.9.0 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.17.0 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.17.0 |
tensorboardX |
2.6.2.2 |
tensorflow |
2.17.0 |
tensorflow-estimator |
2.15.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
textual |
0.81.0 |
tf_keras |
2.17.0 |
thinc |
8.2.5 |
threadpoolctl |
2.2.0 |
tifffile |
2023.4.12 |
tiktoken |
0.7.0 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.19.1 |
tomli |
2.0.1 |
torch |
2.4.0+cu124 |
torch-optimizer |
0.3.0 |
torcheval |
0.0.7 |
torchmetrics |
1.4.0.post0 |
torchvision |
0.19.0+cu124 |
tornado |
6.4.1 |
tqdm |
4.66.4 |
traitlets |
5.14.3 |
transformers |
4.44.0 |
triton |
3.0.0 |
typeguard |
4.3.0 |
typer |
0.12.5 |
types-protobuf |
3.20.3 |
types-psutil |
5.9.0 |
types-pytz |
2023.3.1.1 |
types-PyYAML |
6.0.0 |
types-requests |
2.31.0.0 |
types-setuptools |
68.0.0.0 |
types-six |
1.16.0 |
types-urllib3 |
1.26.25.14 |
typing_extensions |
4.11.0 |
uc-micro-py |
1.0.1 |
ujson |
5.10.0 |
unattended-upgrades |
0.1 |
uri-template |
1.3.0 |
urllib3 |
1.26.16 |
validators |
0.34.0 |
virtualenv |
20.26.2 |
visions |
0.7.5 |
wadllib |
1.3.6 |
wasabi |
1.1.3 |
wcwidth |
0.2.5 |
weasel |
0.4.1 |
webcolors |
24.8.0 |
webencodings |
0.5.1 |
websocket-client |
1.8.0 |
websockets |
11.0.3 |
Werkzeug |
3.0.3 |
whatthepatch |
1.0.2 |
wheel |
0.43.0 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
2.0.3 |
xgboost-ray |
0.1.19 |
xxhash |
3.4.1 |
yapf |
0.33.0 |
yarl |
1.9.3 |
ydata-profiling |
4.9.0 |
zipp |
3.17.0 |
zstd |
1.5.5.1 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 16.0.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 16.0, Databricks Runtime 16.0 ML contains the following JARs: