Notatka
Dostęp do tej strony wymaga autoryzacji. Może spróbować zalogować się lub zmienić katalogi.
Dostęp do tej strony wymaga autoryzacji. Możesz spróbować zmienić katalogi.
Ta strona zawiera ujednolicone informacje o wersji dla Databricks Runtime 18 for Machine Learning. Konsoliduje wszystkie aktualizacje i ulepszenia bibliotek specyficzne dla uczenia maszynowego dostarczane w całym cyklu wydania środowiska Databricks Runtime 18.
Środowisko Databricks Runtime 18 ML jest oparte na środowisku Databricks Runtime 18. Aby uzyskać informacje o nowościach dostępnych w środowisku Databricks Runtime 18, w tym o Apache Spark MLlib i SparkR, zobacz informacje o wydaniu Databricks Runtime 18 (Beta).
Nowe funkcje i ulepszenia
Aktualizacje biblioteki obejmują:
- Aktualizacja CUDA do wersji 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
- Transformers 4.57.1
- triton 3.5.0
- xgboost 3.1.1
Środowisko systemu
Środowisko systemowe w środowisku Databricks Runtime 18 ML różni się od środowiska Databricks Runtime 18 w następujący sposób.
- W przypadku klastrów gpu środowisko Databricks Runtime ML obejmuje następujące biblioteki procesora GPU FIRMY 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
Biblioteki
W poniższych sekcjach wymieniono biblioteki zawarte w środowisku Databricks Runtime 18 ML, które różnią się od bibliotek zawartych w środowisku Databricks Runtime 18.
Biblioteki najwyższego poziomu
Środowisko Databricks Runtime 18 ML obejmuje następujące biblioteki najwyższego poziomu:
Biblioteki języka Python
Środowisko Databricks Runtime 18 ML używa virtualenv do zarządzania pakietami Python i zawiera wiele popularnych pakietów uczenia maszynowego.
Aby odtworzyć środowisko Python środowiska Databricks Runtime ML w lokalnym środowisku wirtualnym Pythona, pobierz plik requirements-cpu-18.txt dla klastrów CPU lub requirements-gpu-18.txt dla klastrów GPU. Następnie należy uruchomić polecenie pip install -r requirements-<cpu|gpu>-18.txt. To polecenie instaluje wszystkie biblioteki typu open source używane przez usługę Databricks Runtime ML, ale nie instaluje bibliotek opracowanych przez usługę Databricks.
biblioteki Python w klastrach procesora CPU
| Biblioteka | Wersja | Biblioteka | Wersja | Biblioteka | Wersja |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | przyspieszać | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| alembic | 1.17.1 | dokument z adnotacjami | 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 |
| odczyt dźwięku | 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 | katalog | 2.0.10 | certifi | 2025.4.26 |
| cffi | 1.17.1 | chardet | 4.0.0 | charset-normalizer | 3.3.2 |
| wyłącznik obwodowy | 2.1.3 | click | 8.1.8 | cloudpathlib | 0.23.0 |
| cloudpickle | 3.0.0 | cmdstanpy | 1.3.0 | kolorowy | 0.5.8 |
| log kolorów | 6.10.1 | comm | 0.2.1 | wyrób cukierniczy | 0.1.5 |
| contourpy | 1.3.1 | cramjam | 2.11.0 | kryptografia | 44.0.1 |
| cycler | 0.11.0 | cymem | 2.0.12 | Cython | 3.1.5 |
| dacite | 1.9.2 | databricks-agents | 1.9.1 | inżynieria cech w Databricks | 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 |
| dekorator | 5.1.1 | deepspeed | 0.18.1 | defusedxml | 0.7.1 |
| deltalake | 1.1.4 | Deprecated | 1.2.18 | koper | 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 | Powiadomienia Farama | 0.0.4 | fastapi | 0.121.2 |
| fastjsonschema | 2.21.1 | filelock | 3.17.0 | typ pliku | 1.2.0 |
| Flask | 2.2.5 | FlatBuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | zablokowana lista | 1.5.0 | fsspec | 2023.5.0 |
| gość | 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 |
| zielona nitka | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| sala gimnastyczna | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | wakacje | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| Hugging Face Hub | 0.36.0 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | niezrównoważona nauka | 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 | to jest niebezpieczne | 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 |
| drżenie | 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 | kody językowe | 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 | dane_językowe | 1.3.0 |
| launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 |
| leniwy ładowacz | 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 | pianka cukrowa | 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 | wielometoda | 1.12 |
| Wieloprocesowość | 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 |
| notes | 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 | integracja Optuna | 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 - biblioteka do protokołu SSH2 dla języka Python | 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 | kundel | 1.8.2 |
| preshed | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | prorok | 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 | 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 | piroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.1 |
| Pythonowy edytor | 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 | promień | 2.37.0 | referencing | 0.30.2 |
| wyrażenie regularne | 2024.11.6 | requests | 2.32.3 | requests-toolbelt (narzędzie wspomagające dla biblioteki requests w Pythonie) | 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 | transformatory zdań | 5.1.2 | element zdania | 0.2.1 |
| setuptools | 78.1.1 | Shap | 0.49.1 | shellingham | 1.5.4 |
| six | 1.17.0 | sklearn-compat | 0.1.3 | fragmentator | 0.0.8 |
| inteligentne_otwarcie | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | Plik dźwiękowy | 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 |
| serio | 2.5.1 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
| cyna | 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 | serwer danych TensorBoard | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| Tekstowy | 4.0.0 | tf_keras | 2.20.1 | cienki | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | narzędzia tokenizacji | 0.22.1 |
| tomli | 2.0.1 | pochodnia | 2.9.0 + procesor | torcheval | 0.0.7 |
| TorchVision | 0.24.0 +cpu | tornado | 6.5.1 | tqdm | 4.67.1 |
| traitlets | 5.14.3 | Transformersi | 4.57.1 | typeguard | 4.4.2 |
| pisarz | 0.20.0 | typer-slim | 0.20.0 | types-python-dateutil | 2.9.0.20251108 |
| monitorowanie pisania | 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 | Wizje | 0.8.1 | wadllib | 1.3.6 |
| wasabi | 1.1.3 | wcwidth | 0.2.5 | łasica | 0.4.3 |
| webcolors | 25.10.0 | webencodings | 0.5.1 | websocket-client | 1.8.0 |
| Narzędzie | 3.1.3 | whatthepatch | 1.0.2 | wheel | 0.45.1 |
| ilekroć | 0.7.3 | widgetsnbextension | 3.6.6 | wordcloud | 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 |
| profilowanie danych | 4.17.0 | zipp | 3.21.0 | zstandard | 0.23.0 |
| zstd | 1.5.5.1 |
biblioteki Python w klastrach gpu
Note
Rozwiązanie PyTorch używa zależności CUDA PyPI w celu zapewnienia obsługi CUDA zamiast wersji bibliotek CUDA wbudowanych w środowisko Databricks Runtime 18 ML.
| Biblioteka | Wersja | Biblioteka | Wersja | Biblioteka | Wersja |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | przyspieszać | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| dokument z adnotacjami | 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 | odczyt dźwięku | 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 |
| katalog | 2.0.10 | certifi | 2025.4.26 | cffi | 1.17.1 |
| chardet | 4.0.0 | charset-normalizer | 3.3.2 | wyłącznik obwodowy | 2.1.3 |
| click | 8.1.8 | cloudpathlib | 0.23.0 | cloudpickle | 3.0.0 |
| cmdstanpy | 1.3.0 | kolorowy | 0.5.8 | log kolorów | 6.10.1 |
| comm | 0.2.1 | wyrób cukierniczy | 0.1.5 | contourpy | 1.3.1 |
| cramjam | 2.11.0 | kryptografia | 44.0.1 | cycler | 0.11.0 |
| cymem | 2.0.12 | Cython | 3.1.5 | dacite | 1.9.2 |
| databricks-agents | 1.9.1 | inżynieria cech w Databricks | 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 | dekorator | 5.1.1 |
| deepspeed | 0.18.1 | defusedxml | 0.7.1 | deltalake | 1.1.4 |
| Deprecated | 1.2.18 | koper | 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 |
| Powiadomienia Farama | 0.0.4 | fastapi | 0.121.2 | fastjsonschema | 2.21.1 |
| filelock | 3.17.0 | typ pliku | 1.2.0 | flash_attn | 2.8.3 |
| Flask | 2.2.5 | FlatBuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | zablokowana lista | 1.5.0 | fsspec | 2023.5.0 |
| gość | 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 |
| zielona nitka | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| sala gimnastyczna | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | wakacje | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| Hugging Face Hub | 0.36.0 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | niezrównoważona nauka | 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 | to jest niebezpieczne | 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 |
| drżenie | 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 | kody językowe | 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 | dane_językowe | 1.3.0 |
| launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 |
| leniwy ładowacz | 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 | pianka cukrowa | 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 | wielometoda | 1.12 |
| Wieloprocesowość | 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 |
| notes | 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 | środowisko uruchomieniowe NVIDIA CUDA 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 | integracja Optuna | 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 - biblioteka do protokołu SSH2 dla języka Python | 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 | kundel | 1.8.2 |
| preshed | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | prorok | 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 | 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 | piroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.1 |
| Pythonowy edytor | 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 | promień | 2.37.0 | referencing | 0.30.2 |
| wyrażenie regularne | 2024.11.6 | requests | 2.32.3 | requests-toolbelt (narzędzie wspomagające dla biblioteki requests w Pythonie) | 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 | transformatory zdań | 5.1.2 | element zdania | 0.2.1 |
| setuptools | 78.1.1 | Shap | 0.49.1 | shellingham | 1.5.4 |
| six | 1.17.0 | sklearn-compat | 0.1.3 | fragmentator | 0.0.8 |
| inteligentne_otwarcie | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | Plik dźwiękowy | 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 |
| serio | 2.5.1 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
| cyna | 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 | serwer danych TensorBoard | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| Tekstowy | 4.0.0 | tf_keras | 2.20.1 | cienki | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | narzędzia tokenizacji | 0.22.1 |
| tomli | 2.0.1 | pochodnia | 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 | Transformersi | 4.57.1 | Triton | 3.5.0 |
| typeguard | 4.4.2 | pisarz | 0.20.0 | typer-slim | 0.20.0 |
| types-python-dateutil | 2.9.0.20251108 | monitorowanie pisania | 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 | Wizje | 0.8.1 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| łasica | 0.4.3 | webcolors | 25.10.0 | webencodings | 0.5.1 |
| websocket-client | 1.8.0 | Narzędzie | 3.1.3 | whatthepatch | 1.0.2 |
| wheel | 0.45.1 | ilekroć | 0.7.3 | widgetsnbextension | 3.6.6 |
| wordcloud | 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 | profilowanie danych | 4.17.0 | zipp | 3.21.0 |
| zstandard | 0.23.0 | zstd | 1.5.5.1 |
Biblioteki języka R
Biblioteki języka R są identyczne z bibliotekami języka R w środowisku Databricks Runtime 18.
Biblioteki Java i Scala (klaster Scala 2.13)
Oprócz bibliotek Java i Scala w środowisku Databricks Runtime 18 środowisko Databricks Runtime 18 ML zawiera następujące jednostki JAR:
Klastry procesora CPU
| Identyfikator grupy | Identyfikator artefaktu | Wersja |
|---|---|---|
| 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 |
Klastry procesora GPU
| Identyfikator grupy | Identyfikator artefaktu | Wersja |
|---|---|---|
| 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 |
Nieobsługiwane wersje
Wskazówka
Aby wyświetlić informacje o wersji środowiska Databricks Runtime, które osiągnęły koniec wsparcia technicznego (EoS), zobacz End-of-support Databricks Runtime release notes (Informacje o wersji środowiska Databricks Runtime). Wersje środowiska Uruchomieniowego usługi EoS Databricks zostały wycofane i mogą nie zostać zaktualizowane.