Observação
O acesso a essa página exige autorização. Você pode tentar entrar ou alterar diretórios.
O acesso a essa página exige autorização. Você pode tentar alterar os diretórios.
Esta página contém as notas de versão unificadas do Databricks Runtime 18 LTS para Machine Learning. Consolida todas as atualizações e melhorias das bibliotecas específicas de ML lançadas ao longo do ciclo de lançamento do Databricks Runtime 18 LTS.
O Databricks Runtime 18 LTS ML foi criado com base no Databricks Runtime 18 LTS. Para obter informações sobre as novidades no Databricks Runtime 18, incluindo Apache Spark MLlib e SparkR, consulte as notas de versão do Databricks Runtime 18 LTS .
Novos recursos e melhorias
As atualizações da biblioteca incluem:
- Atualização do CUDA para 12.9
- flash_attn 2.8.3
- keras 3.12.0
- langchain 1.0.3
- mlflow-skinny 3.8.1
- openai 2.7.0
- torch 2.9.0
- torchvision 0.24.0
- transformadores 4.57.1
- Triton 3.5.0
- xgboost 3.1.1
Ambiente do sistema
O ambiente do sistema no Databricks Runtime 18 ML difere do Databricks Runtime 18 da seguinte maneira.
- Para clusters de GPU, o Databricks Runtime ML inclui as seguintes bibliotecas de GPU NVIDIA:
- CUDA 12.9
- cublas 12.9.1.4-1
- cusolver 11.7.5.82
- cupti 12.9.79
- cusparse 12.5.10.65
- cuDNN 9.10.2.21
- NCCL 2.27.5
Bibliotecas
As seções a seguir listam as bibliotecas incluídas no Databricks Runtime 18 ML que diferem daquelas incluídas no Databricks Runtime 18.
Bibliotecas de camada superior
O Databricks Runtime 18 ML inclui as seguintes bibliotecas de camada superior:
Bibliotecas do Python
O Databricks Runtime 18 ML usa virtualenv para Python gerenciamento de pacotes e inclui muitos pacotes ML populares.
Note
Os arquivos de requisitos registram as versões dos pacotes para este lançamento. Reproduzir essas versões pode instalar pacotes de autoridades certificadoras desatualizados, incluindo certifi. Antes de fazer conexões remotas por HTTPS, aplique as atualizações do pacote listadas no aviso de segurança do eMudhra. Mantenha a verificação de certificados TLS ativada e teste a compatibilidade dos pacotes após as atualizações.
Para reproduzir o ambiente de Python do Databricks Runtime ML em seu ambiente virtual Python local, baixe requirements-cpu-18.txt para clusters de CPU ou requirements-gpu-18.txt para clusters de GPU. Em seguida, execute pip install -r requirements-<cpu|gpu>-18.txt. Esse comando instala todas as bibliotecas de software livre que o Databricks Runtime ML usa, mas não instala bibliotecas desenvolvidas pelo Databricks.
Bibliotecas do Python em clusters de CPU
| Biblioteca | Versão | Biblioteca | Versão | Biblioteca | Versão |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | acelerar | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| alambique | 1.17.1 | documento-anotado | 0.0.4 | annotated-types | 0.7.0 |
| anyio | 4.7.0 | argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 |
| arro3-core | 0.6.5 | arrow | 1.3.0 | asttokens | 3.0.0 |
| astunparse | 1.6.3 | async-lru | 2.0.4 | attrs | 24.3.0 |
| audioread | 3.1.0 | autocommand | 2.2.2 | Azure Common | 1.1.28 |
| azure-core | 1.36.0 | 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 | 12.27.1 |
| azure-storage-file-datalake | 12.22.0 | babel | 2.16.0 | backports.tarfile | 1.2.0 |
| bcrypt | 4.3.0 | beautifulsoup4 | 4.12.3 | black | 24.10.0 |
| bleach | 6.2.0 | blinker | 1.7.0 | blis | 0.7.11 |
| boto3 | 1.40.45 | botocore | 1.40.45 | brotli | 1.2.0 |
| cachetools | 5.5.1 | catálogo | 2.0.10 | certificado | 2025.4.26 |
| cffi | 1.17.1 | chardet | 4.0.0 | charset-normalizer | 3.3.2 |
| circuitbreaker | 2.1.3 | click | 8.1.8 | cloudpathlib | 0.23.0 |
| cloudpickle | 3.0.0 | cmdstanpy | 1.3.0 | colorido | 0.5.8 |
| colorlog | 6.10.1 | comm | 0.2.1 | confeitaria | 0.1.5 |
| contourpy | 1.3.1 | cramjam | 2.11.0 | criptografia | 44.0.1 |
| cycler | 0.11.0 | cymem | 2.0.12 | Cython | 3.1.5 |
| dacite | 1.9.2 | agentes do databricks | 1.9.1 | databricks-feature-engineering | 0.13.0.1 |
| databricks-sdk | 0.67.0 | dataclasses-json | 0.6.7 | datasets | 4.3.0 |
| dbl-tempo | 0.1.26 | dbus-python | 1.3.2 | debugpy | 1.8.11 |
| decorador | 5.1.1 | deepspeed | 0.18.1 | defusedxml | 0.7.1 |
| deltalake | 1.1.4 | Deprecated | 1.2.18 | dill | 0.3.8 |
| distlib | 0.3.9 | dm-tree | 0.1.9 | docstring-to-markdown | 0.11 |
| einops | 0.8.1 | evaluate | 0.4.6 | executing | 1.2.0 |
| facets-overview | 1.1.1 | Farama-Notificações | 0.0.4 | fastapi | 0.121.2 |
| fastjsonschema | 2.21.1 | filelock | 3.17.0 | Tipo de arquivo | 1.2.0 |
| Flask | 2.2.5 | flatbuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | lista de itens congelados | 1.5.0 | fsspec | 2023.5.0 |
| gast | 0.6.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.28.1 | google-auth | 2.43.0 | google-cloud-core | 2.5.0 |
| google-cloud-storage | 3.2.0 | google-crc32c | 1.7.1 | Google Pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | graphql-core | 3.2.4 |
| greenlet | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| ginásio | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | Férias | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| huggingface-hub | 0.36.0 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | imbalanced-learn | 0.13.0 | importlib_metadata | 8.5.0 |
| 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 | 0.7.2 |
| isoduration | 20.11.0 | itsdangerous | 2.2.0 | jaraco.collections | 5.1.0 |
| 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 | 3.1.6 |
| jiter | 0.12.0 | 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 | 1.1.1 | jupyter-console | 6.6.3 | jupyter-events | 0.12.0 |
| jupyter-lsp | 2.2.5 | jupyter_client | 8.6.3 | jupyter_core | 5.7.2 |
| jupyter_server | 2.15.0 | jupyter_server_terminals | 0.5.3 | jupyterlab | 4.3.4 |
| jupyterlab_pygments | 0.3.0 | jupyterlab_server | 2.27.3 | jupyterlab_widgets | 1.1.11 |
| keras | 3.12.0 | kiwisolver | 1.4.8 | langchain | 1.0.3 |
| langchain-core | 1.0.4 | langchain-openai | 1.0.2 | códigos de idioma | 3.5.0 |
| langgraph | 1.0.3 | langgraph-checkpoint | 3.0.1 | langgraph-prebuilt | 1.0.4 |
| langgraph-sdk | 0.2.9 | langsmith | 0.4.41 | dados_de_linguagem | 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 | linkify-it-py | 2.0.0 | litellm | 1.75.9 |
| llvmlite | 0.44.0 | lz4 | 4.3.2 | Mako | 1.3.10 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | malvavisco | 3.26.1 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.19.1 | minify_html | 0.18.1 |
| mistune | 3.1.2 | ml_dtypes | 0.5.3 | mlflow-skinny | 3.8.1 |
| mmh3 | 5.2.0 | more-itertools | 10.3.0 | mosaicml-streaming | 0.13.0 |
| mpmath | 1.3.0 | msal | 1.34.0 | msal-extensions | 1.3.1 |
| msgpack | 1.1.2 | multidict | 6.1.0 | multimétodo | 1.12 |
| multiprocess | 0.70.16 | murmurhash | 1.0.14 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.10.2 | nbconvert | 7.16.6 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.13.0 | nltk | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.4 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-nccl-cu12 | 2.28.7 | oauthlib | 3.2.0 |
| oci | 2.163.1 | openai | 2.7.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opentelemetry-api | 1.38.0 | opentelemetry-proto | 1.38.0 |
| opentelemetry-sdk | 1.38.0 | opentelemetry-semantic-conventions | 0,59b0 | opt_einsum | 3.4.0 |
| optree | 0.17.0 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
| orjson | 3.11.4 | ormsgpack | 1.12.0 | overrides | 7.4.0 |
| packaging | 24.2 | pandas | 2.2.3 | pandocfilters | 1.5.0 |
| paramiko | 3.5.1 | parso | 0.8.4 | pathspec | 0.10.3 |
| patsy | 1.0.1 | pexpect | 4.8.0 | phik | 0.12.5 |
| pillow | 11.1.0 | pip | 25.0.1 | platformdirs | 4.3.7 |
| plotly | 5.24.1 | pluggy | 1.5.0 | cachorrinho | 1.8.2 |
| preshed | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | profeta | 1.2.1 | proto-plus | 1.26.1 |
| protobuf | 5.29.4 | psutil | 5.9.0 | psycopg2 | 2.9.11 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | puremagic | 1.30 |
| py-cpuinfo | 9.0.0 | py-spy (ferramenta de monitoramento do Python) | 0.4.1 | pyarrow | 21.0.0 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pyccolo | 0.0.71 |
| pycparser | 2.21 | pydantic | 2.10.6 | pydantic_core | 2.27.2 |
| pyflakes | 3.2.0 | Pygments | 2.19.1 | PyGObject | 3.48.2 |
| pyiceberg | 0.10.0 | PyJWT | 2.10.1 | PyNaCl | 1.5.0 |
| pyodbc | 5.2.0 | pyOpenSSL | 25.0.0 | pyparsing | 3.2.0 |
| pyright | 1.1.394 | pyroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | Python-dotenv | 1.2.1 |
| Editor de Python | 1.0.4 | python-json-logger | 3.2.1 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.12.2 | Python-snappy | 0.7.3 | pytoolconfig | 1.2.6 |
| pytz | 2024.1 | PyWavelets | 1.8.0 | PyYAML | 6.0.2 |
| pyzmq | 26.2.0 | raio | 2.37.0 | referencing | 0.30.2 |
| regex | 2024.11.6 | requests | 2.32.3 | requests-toolbelt | 1.0.0 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.9.4 |
| rope | 1.13.0 | rpds-py | 0.22.3 | rsa | 4.9.1 |
| s3transfer | 0.14.0 | safetensors | 0.6.2 | scikit-image | 0.25.0 |
| scikit-learn | 1.6.1 | scipy | 1.15.3 | seaborn | 0.13.2 |
| Send2Trash | 1.8.2 | transformadores de frase | 5.1.2 | sentencepiece | 0.2.1 |
| setuptools | 78.1.1 | shap | 0.49.1 | shellingham | 1.5.4 |
| six | 1.17.0 | sklearn-compat | 0.1.3 | segmentação | 0.0.8 |
| smart_open | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | arquivo de som | 0.13.1 | soupsieve | 2,5 |
| soxr | 1.0.0 | spacy | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.39 | sqlparse | 0.5.3 |
| srsly | 2.5.1 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
| estanho | 0.5.1 | starlette | 0.49.3 | statsmodels | 0.14.4 |
| strictyaml | 1.7.3 | sympy | 1.13.3 | tenacity | 9.0.0 |
| Tensorboard | 2.20.0 | tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| textual | 4.0.0 | tf_keras | 2.20.1 | thinc | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | criadores de token | 0.22.1 |
| tomli | 2.0.1 | lanterna | 2.9.0+cpu | torcheval | 0.0.7 |
| torchvision | 0.24.0+cpu | tornado | 6.5.1 | tqdm | 4.67.1 |
| traitlets | 5.14.3 | transformadores | 4.57.1 | typeguard | 4.4.2 |
| typer | 0.20.0 | typer-slim | 0.20.0 | types-python-dateutil | 2.9.0.20251108 |
| typing-inspect | 0.9.0 | 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 | 0.38.0 |
| virtualenv | 20.29.3 | visões | 0.8.1 | wadllib | 1.3.6 |
| wasabi | 1.1.3 | wcwidth | 0.2.5 | doninha | 0.4.3 |
| webcolors | 25.10.0 | webencodings | 0.5.1 | websocket-client | 1.8.0 |
| Ferramentas | 3.1.3 | whatthepatch | 1.0.2 | wheel | 0.45.1 |
| whenever | 0.7.3 | widgetsnbextension | 3.6.6 | nuvem de palavras | 1.9.4 |
| wrapt | 1.17.0 | xgboost | 3.1.1 | xgboost-ray | 0.1.19 |
| xxhash | 3.5.0 | yapf | 0.40.2 | yarl | 1.18.0 |
| ydata-profiling | 4.17.0 | zipp | 3.21.0 | zstandard | 0.23.0 |
| zstd | 1.5.5.1 |
Bibliotecas do Python em clusters de GPU
Note
O PyTorch usa as dependências do CUDA PyPI para fornecer suporte ao CUDA em vez das versões da biblioteca CUDA incorporadas ao Databricks Runtime 18 ML.
| Biblioteca | Versão | Biblioteca | Versão | Biblioteca | Versão |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | acelerar | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| documento-anotado | 0.0.4 | annotated-types | 0.7.0 | anyio | 4.7.0 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | arro3-core | 0.6.5 |
| arrow | 1.3.0 | asttokens | 3.0.0 | astunparse | 1.6.3 |
| async-lru | 2.0.4 | attrs | 24.3.0 | audioread | 3.1.0 |
| autocommand | 2.2.2 | Azure Common | 1.1.28 | azure-core | 1.36.0 |
| 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 | 12.27.1 | azure-storage-file-datalake | 12.22.0 |
| babel | 2.16.0 | backports.tarfile | 1.2.0 | bcrypt | 4.3.0 |
| beautifulsoup4 | 4.12.3 | black | 24.10.0 | bleach | 6.2.0 |
| blinker | 1.7.0 | blis | 0.7.11 | boto3 | 1.40.45 |
| botocore | 1.40.45 | brotli | 1.2.0 | cachetools | 5.5.1 |
| catálogo | 2.0.10 | certificado | 2025.4.26 | cffi | 1.17.1 |
| chardet | 4.0.0 | charset-normalizer | 3.3.2 | circuitbreaker | 2.1.3 |
| click | 8.1.8 | cloudpathlib | 0.23.0 | cloudpickle | 3.0.0 |
| cmdstanpy | 1.3.0 | colorido | 0.5.8 | colorlog | 6.10.1 |
| comm | 0.2.1 | confeitaria | 0.1.5 | contourpy | 1.3.1 |
| cramjam | 2.11.0 | criptografia | 44.0.1 | cycler | 0.11.0 |
| cymem | 2.0.12 | Cython | 3.1.5 | dacite | 1.9.2 |
| agentes do databricks | 1.9.1 | databricks-feature-engineering | 0.13.0.1 | databricks-sdk | 0.67.0 |
| dataclasses-json | 0.6.7 | datasets | 4.3.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.8.11 | decorador | 5.1.1 |
| deepspeed | 0.18.1 | defusedxml | 0.7.1 | deltalake | 1.1.4 |
| Deprecated | 1.2.18 | dill | 0.3.8 | distlib | 0.3.9 |
| dm-tree | 0.1.9 | docstring-to-markdown | 0.11 | einops | 0.8.1 |
| evaluate | 0.4.6 | executing | 1.2.0 | facets-overview | 1.1.1 |
| Farama-Notificações | 0.0.4 | fastapi | 0.121.2 | fastjsonschema | 2.21.1 |
| filelock | 3.17.0 | Tipo de arquivo | 1.2.0 | flash_attn | 2.8.3 |
| Flask | 2.2.5 | flatbuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | lista de itens congelados | 1.5.0 | fsspec | 2023.5.0 |
| gast | 0.6.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.28.1 | google-auth | 2.43.0 | google-cloud-core | 2.5.0 |
| google-cloud-storage | 3.2.0 | google-crc32c | 1.7.1 | Google Pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | graphql-core | 3.2.4 |
| greenlet | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| ginásio | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | Férias | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| huggingface-hub | 0.36.0 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | imbalanced-learn | 0.13.0 | importlib_metadata | 8.5.0 |
| 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 | 0.7.2 |
| isoduration | 20.11.0 | itsdangerous | 2.2.0 | jaraco.collections | 5.1.0 |
| 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 | 3.1.6 |
| jiter | 0.12.0 | 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 | 1.1.1 | jupyter-console | 6.6.3 | jupyter-events | 0.12.0 |
| jupyter-lsp | 2.2.5 | jupyter_client | 8.6.3 | jupyter_core | 5.7.2 |
| jupyter_server | 2.15.0 | jupyter_server_terminals | 0.5.3 | jupyterlab | 4.3.4 |
| jupyterlab_pygments | 0.3.0 | jupyterlab_server | 2.27.3 | jupyterlab_widgets | 1.1.11 |
| keras | 3.12.0 | kiwisolver | 1.4.8 | langchain | 1.0.3 |
| langchain-core | 1.0.4 | langchain-openai | 1.0.2 | códigos de idioma | 3.5.0 |
| langgraph | 1.0.3 | langgraph-checkpoint | 3.0.1 | langgraph-prebuilt | 1.0.4 |
| langgraph-sdk | 0.2.9 | langsmith | 0.4.41 | dados_de_linguagem | 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 | linkify-it-py | 2.0.0 | litellm | 1.75.9 |
| llvmlite | 0.44.0 | lz4 | 4.3.2 | Mako | 1.3.10 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | malvavisco | 3.26.1 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.19.1 | minify_html | 0.18.1 |
| mistune | 3.1.2 | ml_dtypes | 0.5.3 | mlflow-skinny | 3.8.1 |
| mmh3 | 5.2.0 | more-itertools | 10.3.0 | mosaicml-streaming | 0.13.0 |
| mpmath | 1.3.0 | msal | 1.34.0 | msal-extensions | 1.3.1 |
| msgpack | 1.1.2 | multidict | 6.1.0 | multimétodo | 1.12 |
| multiprocess | 0.70.16 | murmurhash | 1.0.14 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.10.2 | nbconvert | 7.16.6 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.13.0 | nltk | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.4 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-cublas-cu12 | 12.9.1.4 | nvidia-cuda-cupti-cu12 | 12.9.79 |
| nvidia-cuda-nvrtc-cu12 | 12.9.86 | nvidia-cuda-runtime-cu12 | 12.9.79 | nvidia-cudnn-cu12 | 9.10.2.21 |
| nvidia-cufft-cu12 | 11.4.1.4 | nvidia-cufile-cu12 | 1.14.1.1 | nvidia-curand-cu12 | 10.3.10.19 |
| nvidia-cusolver-cu12 | 11.7.5.82 | nvidia-cusparse-cu12 | 12.5.10.65 | nvidia-cusparselt-cu12 | 0.7.1 |
| nvidia-ml-py | 13.580.82 | nvidia-nccl-cu12 | 2.27.5 | nvidia-nvjitlink-cu12 | 12.9.86 |
| nvidia-nvshmem-cu12 | 3.3.20 | nvidia-nvtx-cu12 | 12.9.79 | oauthlib | 3.2.0 |
| oci | 2.163.1 | openai | 2.7.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opentelemetry-api | 1.38.0 | opentelemetry-proto | 1.38.0 |
| opentelemetry-sdk | 1.38.0 | opentelemetry-semantic-conventions | 0,59b0 | opt_einsum | 3.4.0 |
| optree | 0.17.0 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
| orjson | 3.11.4 | ormsgpack | 1.12.0 | overrides | 7.4.0 |
| packaging | 24.2 | pandas | 2.2.3 | pandocfilters | 1.5.0 |
| paramiko | 3.5.1 | parso | 0.8.4 | pathspec | 0.10.3 |
| patsy | 1.0.1 | pexpect | 4.8.0 | phik | 0.12.5 |
| pillow | 11.1.0 | pip | 25.0.1 | platformdirs | 4.3.7 |
| plotly | 5.24.1 | pluggy | 1.5.0 | cachorrinho | 1.8.2 |
| preshed | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | profeta | 1.2.1 | proto-plus | 1.26.1 |
| protobuf | 5.29.4 | psutil | 5.9.0 | psycopg2 | 2.9.11 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | puremagic | 1.30 |
| py-cpuinfo | 9.0.0 | py-spy (ferramenta de monitoramento do Python) | 0.4.1 | pyarrow | 21.0.0 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pyccolo | 0.0.71 |
| pycparser | 2.21 | pydantic | 2.10.6 | pydantic_core | 2.27.2 |
| pyflakes | 3.2.0 | Pygments | 2.19.1 | PyGObject | 3.48.2 |
| pyiceberg | 0.10.0 | PyJWT | 2.10.1 | PyNaCl | 1.5.0 |
| pyodbc | 5.2.0 | pyOpenSSL | 25.0.0 | pyparsing | 3.2.0 |
| pyright | 1.1.394 | pyroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | Python-dotenv | 1.2.1 |
| Editor de Python | 1.0.4 | python-json-logger | 3.2.1 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.12.2 | Python-snappy | 0.7.3 | pytoolconfig | 1.2.6 |
| pytz | 2024.1 | PyWavelets | 1.8.0 | PyYAML | 6.0.2 |
| pyzmq | 26.2.0 | raio | 2.37.0 | referencing | 0.30.2 |
| regex | 2024.11.6 | requests | 2.32.3 | requests-toolbelt | 1.0.0 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.9.4 |
| rope | 1.13.0 | rpds-py | 0.22.3 | rsa | 4.9.1 |
| s3transfer | 0.14.0 | safetensors | 0.6.2 | scikit-image | 0.25.0 |
| scikit-learn | 1.6.1 | scipy | 1.15.3 | seaborn | 0.13.2 |
| Send2Trash | 1.8.2 | transformadores de frase | 5.1.2 | sentencepiece | 0.2.1 |
| setuptools | 78.1.1 | shap | 0.49.1 | shellingham | 1.5.4 |
| six | 1.17.0 | sklearn-compat | 0.1.3 | segmentação | 0.0.8 |
| smart_open | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | arquivo de som | 0.13.1 | soupsieve | 2,5 |
| soxr | 1.0.0 | spacy | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.39 | sqlparse | 0.5.3 |
| srsly | 2.5.1 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
| estanho | 0.5.1 | starlette | 0.49.3 | statsmodels | 0.14.4 |
| strictyaml | 1.7.3 | sympy | 1.13.3 | tenacity | 9.0.0 |
| Tensorboard | 2.20.0 | tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| textual | 4.0.0 | tf_keras | 2.20.1 | thinc | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | criadores de token | 0.22.1 |
| tomli | 2.0.1 | lanterna | 2.9.0+cu129 | torcheval | 0.0.7 |
| torchvision | 0.24.0+cu129 | tornado | 6.5.1 | tqdm | 4.67.1 |
| traitlets | 5.14.3 | transformadores | 4.57.1 | Tritão | 3.5.0 |
| typeguard | 4.4.2 | typer | 0.20.0 | typer-slim | 0.20.0 |
| types-python-dateutil | 2.9.0.20251108 | typing-inspect | 0.9.0 | 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 | 0.38.0 | virtualenv | 20.29.3 | visões | 0.8.1 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| doninha | 0.4.3 | webcolors | 25.10.0 | webencodings | 0.5.1 |
| websocket-client | 1.8.0 | Ferramentas | 3.1.3 | whatthepatch | 1.0.2 |
| wheel | 0.45.1 | whenever | 0.7.3 | widgetsnbextension | 3.6.6 |
| nuvem de palavras | 1.9.4 | wrapt | 1.17.0 | xgboost | 3.1.1 |
| xgboost-ray | 0.1.19 | xxhash | 3.5.0 | yapf | 0.40.2 |
| yarl | 1.18.0 | ydata-profiling | 4.17.0 | zipp | 3.21.0 |
| zstandard | 0.23.0 | zstd | 1.5.5.1 |
Bibliotecas de R
As bibliotecas R são idênticas às Bibliotecas do R no Databricks Runtime 18.
Bibliotecas Java e Scala (cluster Scala 2.13)
Além das bibliotecas Java e Scala no Databricks Runtime 18, o Databricks Runtime 18 ML contém os seguintes JARs:
Clusters de CPU
| ID do grupo | ID do artefato | Versão |
|---|---|---|
| ml.dmlc | xgboost4j-spark_2.13 | 2.1.3 |
| ml.dmlc | xgboost4j_2.13 | 2.1.3 |
| org.graphframes | graphframes_2.13 | 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_2.13 | 1.15.0 |
Clusters de GPU
| ID do grupo | ID do artefato | Versão |
|---|---|---|
| ml.dmlc | xgboost4j-spark-gpu_2.13 | 2.1.3 |
| ml.dmlc | xgboost4j-gpu_2.13 | 2.1.3 |
| org.graphframes | graphframes_2.13 | 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_2.13 | 1.15.0 |
Versões sem suporte
Dica
Para ver as notas de release das versões do Databricks Runtime que atingiram o fim do suporte (EoS), confira Notas de release do Databricks Runtime em fim de suporte. As versões do EoS Databricks Runtime foram desativadas e podem não ser atualizadas.