Catatan
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Catatan rilis berikut memberikan informasi tentang Databricks Runtime 19 ML.
Azure Databricks merilis versi ini pada Juni 2026.
Important
Databricks Runtime 19 berada di Beta. Konten lingkungan yang didukung mungkin berubah selama Beta. Perubahan dapat mencakup daftar paket atau versi paket yang diinstal.
Databricks Runtime 19 ML dibangun di atas Databricks Runtime 19. Untuk informasi tentang apa yang baru di Databricks Runtime 19, termasuk Apache Spark MLlib dan SparkR, lihat catatan rilis Databricks Runtime 19 (Beta).
Perubahan perilaku
-
paket Python dihapus: Dibandingkan dengan Databricks Runtime 18 ML, sekitar 40 paket runtime ML dihapus di Databricks Runtime 19 ML, selain paket yang dihapus dari Databricks Runtime 19. Tumpukan TensorFlow/Keras (
tensorflow,keras,tf_keras) dihapus. Beban kerja yang bergantung pada paket ini harus menginstalnya secara eksplisit menggunakan pustaka kluster atau skrip init. Untuk daftar lengkap paket yang disertakan dalam Databricks Runtime 19 ML, lihat pustaka Python.
Fitur dan peningkatan baru
Pembaruan pustaka meliputi:
- Pembaruan CUDA ke 13.0
- flash_attn 2.8.3
- langchain 1.3.1
- mlflow-skinny 3.12.0
- openai 2.37.0
- torch 2.12.0
- torchvision 0.27.0
- transformer 4.57.6
- triton 3.7.0
- xgboost 3.2.0
Lingkungan sistem
Lingkungan sistem di Databricks Runtime 19 ML berbeda dari Databricks Runtime 19 sebagai berikut.
- Untuk kluster GPU, Databricks Runtime ML menyertakan pustaka GPU NVIDIA berikut:
- CUDA 13.0
- cublas 13.1.1.3-1
- cusolver 12.0.4.66
- cupti 13.0.85
- cusparse 12.6.3.3
- cuDNN 9.23.0.39
- NCCL 2.28.3
Perpustakaan
Bagian berikut mencantumkan pustaka yang disertakan dalam Databricks Runtime 19 ML yang berbeda dengan pustaka yang disertakan dalam Databricks Runtime 19.
Pustaka tingkat atas
Databricks Runtime 19 ML menyertakan pustaka tingkat atas berikut:
Perpustakaan Python
Databricks Runtime 19 ML menggunakan virtualenv untuk manajemen paket Python dan mencakup banyak paket ML populer.
Untuk mereproduksi lingkungan Python Databricks Runtime ML di lingkungan virtual Python lokal Anda, unduh requirements-cpu-19.txt untuk kluster CPU atau requirements-gpu-19.txt untuk kluster GPU. Kemudian jalankan pip install -r requirements-<cpu|gpu>-19.txt. Perintah ini menginstal semua pustaka sumber terbuka yang digunakan Databricks Runtime ML, tetapi tidak menginstal pustaka yang dikembangkan oleh Databricks.
Pustaka Python pada kluster CPU
| Library | Versi | Library | Versi | Library | Versi |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | Percepat | 1.13.0 | aiohappyeyeballs | 2.6.1 |
| aiohttp | 3.13.2 | aiohttp-cors | 0.8.1 | aiosignal | 1.4.0 |
| alembic | 1.18.4 | anotasi-doc | 0.0.4 | annotated-types | 0.7.0 |
| anyio | 4.10.0 | arro3-core | 0.8.0 | asttokens | 3.0.0 |
| astunparse | 1.6.3 | attrs | 25.4.0 | audioread | 3.1.0 |
| autocommand | 2.2.2 | azure-core | 1.41.0 | azure-cosmos | 4.3.1 |
| azure-identity | 1.25.3 | azure-mgmt-core | 1.6.0 | azure-mgmt-web | 10.1.0 |
| azure-storage-blob | 12.29.0 | azure-storage-file-datalake | 12.24.0 | backports.tarfile | 1.2.0 |
| black | 25.9.0 | blinker | 1.7.0 | kebahagiaan | 1.3.3 |
| boto3 | 1.40.46 | botocore | 1.40.46 | cachetools | 5.5.1 |
| katalog | 2.0.10 | certifi | 2025.11.12 | cffi | 2.0.0 |
| charset-normalizer | 3.4.4 | klik | 8.2.1 | cloudpathlib | 0.24.0 |
| cloudpickle | 3.1.1 | cmdstanpy | 1.3.0 | berwarna-warni | 0.5.8 |
| colorlog | 6.10.1 | comm | 0.2.3 | makanan manis | 1.3.3 |
| contourpy | 1.3.3 | cryptography | 46.0.3 | cycler | 0.11.0 |
| cymem | 2.0.13 | databricks-agents | 1.10.2 | Databricks-rekayasa fitur | 0.13.0.1 |
| databricks-sdk | 0.108.0 | dataclasses-json | 0.6.7 | datasets | 4.8.5 |
| dbl-tempo | 0.1.26 | dbus-python | 1.3.2 | debugpy | 1.8.16 |
| decorator | 5.2.1 | deepspeed | 0.19.0 | deltalake | 1.5.1 |
| Deprecated | 1.3.1 | dill | 0.4.0 | distlib | 0.4.0 |
| dm-tree | 0.1.10 | einops | 0.8.2 | evaluate | 0.4.6 |
| Mengeksekusi | 2.2.1 | Pemberitahuan Farama | 0.0.6 | fastapi | 0.136.1 |
| filelock | 3.20.0 | Flask | 2.2.5 | fonttools | 4.60.1 |
| daftar yang dibekukan | 1.8.0 | fsspec | 2023.5.0 | gitdb | 4.0.11 |
| GitPython | 3.1.45 | google-api-core | 2.30.3 | google-auth | 2.53.0 |
| google-cloud-core | 2.6.0 | google-cloud-storage | 3.10.1 | google-crc32c | 1.8.0 |
| google-resumable-media | 2.9.0 | googleapis-common-protos | 1.71.0 | graphql-core | 3.2.4 |
| greenlet | 3.2.4 | grpcio | 1.76.0 | grpcio-status | 1.76.0 |
| gedung olahraga | 0.28.1 | h11 | 0.16.0 | hf-xet | 1.5.0 |
| hjson | 3.1.0 | Liburan | 0.54 | httpcore | 1.0.9 |
| httplib2 | 0.20.4 | httpx | 0.28.1 | huggingface_hub | 0.36.2 |
| idna | 3.11 | ImageIO | 2.37.2 | pembelajaran-tidak-seimbang | 0.14.0 |
| importlib_metadata | 8.7.0 | importlib_resources | 7.1.0 | membelokkan | 7.3.1 |
| iniconfig | 2.1.0 | ipyflow-core | 0.0.227 | ipykernel | 6.31.0 |
| ipython | 9.7.0 | ipython_pygments_lexers | 1.1.1 | ipywidgets | 8.1.7 |
| isodate | 0.7.2 | itu berbahaya | 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 | 0.15.0 | jmespath | 1.0.1 | joblib | 1.5.2 |
| joblibspark | 0.6.0 | jsonpatch | 1.33 | jsonpointer | 3.1.1 |
| jsonschema | 4.25.0 | jsonschema-specifications | 2025.9.1 | jupyter_client | 8.6.3 |
| jupyter_core | 5.8.1 | jupyterlab_widgets | 3.0.15 | kiwisolver | 1.4.8 |
| langchain | 1.3.1 | langchain-core | 1.4.0 | protokol langchain | 0.0.15 |
| langgraph | 1.2.1 | titik pemeriksaan langgraf | 4.1.1 | langgraph-prebuilt | 1.1.0 |
| langgraph-sdk | 0.3.15 | langsmith | 0.4.41 | launchpadlib | 1.11.0 |
| lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0.4 |
| librosa | 0.11.0 | lightgbm | 4.6.0 | linkify-it-py | 2.0.3 |
| llvmlite | 0.45.1 | lz4 | 4.4.5 | Mako | 1.3.12 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | kembang gula (marshmallow) | 3.26.2 | matplotlib | 3.10.6 |
| matplotlib-inline | 0.2.1 | Mccabe | 0.7.0 | mdit-py-plugins | 0.5.0 |
| mdurl | 0.1.2 | memray (teknologi atau konsep terkait memori) | 1.19.3 | mlflow-skinny | 3.12.0 |
| mmh3 | 5.2.1 | more-itertools | 10.3.0 | mpmath | 1.3.0 |
| msal (Microsoft Authentication Library) | 1.36.0 | msal-extensions | 1.3.1 | msgpack | 1.1.2 |
| msrest | 0.7.1 | multidict | 6.7.0 | multiproses | 0.70.18 |
| Murmur Hash | 1.0.15 | mypy-extensions | 1.0.0 | nest-asyncio | 1.6.0 |
| networkx | 3.5 | ninja | 1.13.0 | nltk | 3.9.2 |
| nodeenv | 1.10.0 | numba | 0.62.1 | numpy | 2.3.4 |
| nvidia-nccl-cu12 | 2.30.4 | oauthlib | 3.2.0 | OpenAI | 2.37.0 |
| opencensus | 0.11.4 | opencensus-konteks | 0.1.3 | opentelemetry-api | 1.42.1 |
| opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 | opentelemetry-semantic-conventions | 0.63b1 |
| optuna | 3.6.1 | Integrasi Optuna | 3.6.0 | orjson | 3.11.9 |
| ormsgpack | 1.12.2 | packaging | 25.0 | pandas | 2.3.3 |
| parso | 0.8.5 | pathspec | 0.12.1 | patsy | 1.0.1 |
| pexpect | 4.9.0 | bantal | 12.0.0 | pip | 25,3 |
| platformdirs | 4.5.0 | pluggy | 1.5.0 | anjing peliharaan | 1.9.0 |
| tanpa informasi tambahan mengenai konteks yang berarti bagi istilah "preshed", mungkin terpikir untuk menggambarkan istilah tersebut sebagai langkah atau proses yang sedang terjadi sebelum sesuatu diselesaikan atau diproses lebih lanjut. | 3.0.13 | prometheus_client | 0.21.1 | prompt_toolkit | 3.0.52 |
| propcache | 0.3.1 | nabi | 1.2.1 | proto-plus | 1.28.0 |
| protobuf | 6.33.5 | psutil | 7.0.0 | ptyprocess | 0.7.0 |
| pure_eval | 0.2.3 | py-cpuinfo | 9.0.0 | py-spy | 0.4.2 |
| pyarrow | 21.0.0 | pyasn1 | 0.6.1 | pyasn1_modules | 0.4.2 |
| pyccolo | 0.0.83 | pycparser | 2.23 | pydantic | 2.13.3 |
| pydantic_core | 2.46.3 | pyflakes | 3.2.0 | Pygments | 2.19.2 |
| PyGObject | 3.48.2 | pyiceberg | 0.11.1 | PyJWT | 2.10.1 |
| pyparsing | 3.2.5 | pyright | 1.1.409 | pyroaring | 1.1.0 |
| pytesseract | 0.3.13 | pytest | 8.4.2 | python-dateutil | 2.9.0.post0 |
| python-dotenv | 1.2.2 | python-editor | 1.0.4 | pytokens | 0.2.0 |
| pytz | 2025.2 | PyYAML | 6.0.3 | pyzmq | 27.1.0 |
| ikan pari | 2.37.0 | referencing | 0.37.0 | regex | 2025.9.1 |
| requests | 2.32.5 | requests-oauthlib | 2.0.0 | requests-toolbelt | 1.0.0 |
| rich | 14.2.0 | rpds-py | 0.28.0 | s3transfer | 0.14.0 |
| safetensors | 0.7.0 | scikit-image | 0.25.2 | scikit-learn | 1.7.2 |
| scipy | 1.16.3 | pemodel kalimat | 5.5.1 | sentencepiece | 0.2.1 |
| setuptools | 80.9.0 | bentuk | 0.51.0 | shellingham | 1.5.4 |
| six | 1.17.0 | pemotong | 0.0.8 | smart_open | 7.6.1 |
| smmap | 5.0.0 | sniffio | 1.3.0 | soundfile | 0.13.1 |
| soxr | 1.1.0 | lapang | 3.8.14 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.43 | sqlparse | 0.5.5 |
| Seriusan | 2.5.3 | ssh-import-id | 5.11 | stack-data | 0.6.3 |
| stanio | 0.5.1 | starlette | 0.52.1 | statsmodels | 0.14.5 |
| strictyaml | 1.7.3 | sympy | 1.14.0 | tenacity | 9.1.2 |
| TensorBoard | 2.20.0 | tensorboard-data-server | 0.7.2 | tensorboardX | 2.6.5 |
| Tekstual | 8.2.7 | Thinc | 8.3.13 | threadpoolctl | 3.5.0 |
| tifffile | 2025.10.4 | tiktoken | 0.13.0 | tokenize_rt | 6.2.0 |
| tokenisasi | 0.22.1 | tomli | 2.0.1 | obor/senter | 2.12.0+cpu |
| torcheval | 0.0.7 | torchvision | 0.27.0+cpu | tornado | 6.5.1 |
| tqdm | 4.67.1 | traitlets | 5.14.3 | Trafo | 4.57.6 |
| typeguard | 4.3.0 | Typer | 0.25.1 | mengetik-memeriksa | 0.9.0 |
| inspeksi-pengetikan | 0.4.2 | typing_extensions | 4.15.0 | tzdata | 2026.2 |
| uc-micro-py | 1.0.3 | unattended-upgrades | 0.1 | urllib3 | 2.5.0 |
| uuid_utils | 0.16.0 | uvicorn | 0.47.0 | virtualenv | 20.35.4 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.13 |
| Musang | 1.0.0 | Alat kerja | 3.1.3 | wheel | 0.45.1 |
| Setiap kali | 0.7.3 | widgetsnbextension | 4.0.14 | wrapt | 1.17.0 |
| xgboost | 3.2.0 | xgboost-ray | 0.1.19 | xxhash | 3.5.0 |
| yarl | 1.22.0 | zipp | 3.23.0 | zstandard | 0.25.0 |
Pustaka Python pada kluster GPU
Note
PyTorch menggunakan dependensi CUDA PyPI untuk menyediakan dukungan CUDA, alih-alih menggunakan versi pustaka CUDA yang terintegrasi dalam Databricks Runtime 19 ML.
| Library | Versi | Library | Versi | Library | Versi |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | Percepat | 1.13.0 | aiohappyeyeballs | 2.6.1 |
| aiohttp | 3.13.2 | aiohttp-cors | 0.8.1 | aiosignal | 1.4.0 |
| anotasi-doc | 0.0.4 | annotated-types | 0.7.0 | anyio | 4.10.0 |
| arro3-core | 0.8.0 | asttokens | 3.0.0 | astunparse | 1.6.3 |
| attrs | 25.4.0 | audioread | 3.1.0 | autocommand | 2.2.2 |
| azure-core | 1.41.0 | azure-cosmos | 4.3.1 | azure-identity | 1.25.3 |
| azure-mgmt-core | 1.6.0 | azure-mgmt-web | 10.1.0 | azure-storage-blob | 12.29.0 |
| azure-storage-file-datalake | 12.24.0 | backports.tarfile | 1.2.0 | black | 25.9.0 |
| blinker | 1.7.0 | kebahagiaan | 1.3.3 | boto3 | 1.40.46 |
| botocore | 1.40.46 | cachetools | 5.5.1 | katalog | 2.0.10 |
| certifi | 2025.11.12 | cffi | 2.0.0 | charset-normalizer | 3.4.4 |
| klik | 8.2.1 | cloudpathlib | 0.24.0 | cloudpickle | 3.1.1 |
| cmdstanpy | 1.3.0 | berwarna-warni | 0.5.8 | colorlog | 6.10.1 |
| comm | 0.2.3 | makanan manis | 1.3.3 | contourpy | 1.3.3 |
| cryptography | 46.0.3 | pengikatan cuda | 13.2.0 | cuda-pathfinder | 1.5.4 |
| CUDA Toolkit | 13.0.2 | cycler | 0.11.0 | cymem | 2.0.13 |
| databricks-agents | 1.10.2 | Databricks-rekayasa fitur | 0.13.0.1 | databricks-sdk | 0.108.0 |
| dataclasses-json | 0.6.7 | datasets | 4.8.5 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.8.16 | decorator | 5.2.1 |
| deepspeed | 0.19.0 | deltalake | 1.5.1 | Deprecated | 1.3.1 |
| dill | 0.4.0 | distlib | 0.4.0 | dm-tree | 0.1.10 |
| einops | 0.8.2 | evaluate | 0.4.6 | Mengeksekusi | 2.2.1 |
| Pemberitahuan Farama | 0.0.6 | fastapi | 0.136.3 | filelock | 3.20.0 |
| flash_attn | 2.8.3 | Flask | 2.2.5 | fonttools | 4.60.1 |
| daftar yang dibekukan | 1.8.0 | fsspec | 2023.5.0 | gitdb | 4.0.11 |
| GitPython | 3.1.45 | google-api-core | 2.30.3 | google-auth | 2.53.0 |
| google-cloud-core | 2.6.0 | google-cloud-storage | 3.10.1 | google-crc32c | 1.8.0 |
| google-resumable-media | 2.9.0 | googleapis-common-protos | 1.71.0 | graphql-core | 3.2.4 |
| greenlet | 3.2.4 | grpcio | 1.76.0 | grpcio-status | 1.76.0 |
| gedung olahraga | 0.28.1 | h11 | 0.16.0 | hf-xet | 1.5.0 |
| hjson | 3.1.0 | Liburan | 0.54 | httpcore | 1.0.9 |
| httplib2 | 0.20.4 | httpx | 0.28.1 | huggingface_hub | 0.36.2 |
| idna | 3.11 | ImageIO | 2.37.2 | pembelajaran-tidak-seimbang | 0.14.0 |
| importlib_metadata | 8.7.0 | importlib_resources | 7.1.0 | membelokkan | 7.3.1 |
| iniconfig | 2.1.0 | ipyflow-core | 0.0.227 | ipykernel | 6.31.0 |
| ipython | 9.7.0 | ipython_pygments_lexers | 1.1.1 | ipywidgets | 8.1.7 |
| isodate | 0.7.2 | itu berbahaya | 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 | 0.15.0 | jmespath | 1.0.1 | joblib | 1.5.2 |
| joblibspark | 0.6.0 | jsonpatch | 1.33 | jsonpointer | 3.1.1 |
| jsonschema | 4.25.0 | jsonschema-specifications | 2025.9.1 | jupyter_client | 8.6.3 |
| jupyter_core | 5.8.1 | jupyterlab_widgets | 3.0.15 | kiwisolver | 1.4.8 |
| langchain | 1.3.1 | langchain-core | 1.4.0 | protokol langchain | 0.0.15 |
| langgraph | 1.2.1 | titik pemeriksaan langgraf | 4.1.1 | langgraph-prebuilt | 1.1.0 |
| langgraph-sdk | 0.3.15 | langsmith | 0.4.41 | launchpadlib | 1.11.0 |
| lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0.4 |
| librosa | 0.11.0 | lightgbm | 4.6.0 | linkify-it-py | 2.0.3 |
| llvmlite | 0.45.1 | lz4 | 4.4.5 | Mako | 1.3.12 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | kembang gula (marshmallow) | 3.26.2 | matplotlib | 3.10.6 |
| matplotlib-inline | 0.2.1 | Mccabe | 0.7.0 | mdit-py-plugins | 0.5.0 |
| mdurl | 0.1.2 | memray (teknologi atau konsep terkait memori) | 1.19.3 | mlflow-skinny | 3.12.0 |
| mmh3 | 5.2.1 | more-itertools | 10.3.0 | mpmath | 1.3.0 |
| msal (Microsoft Authentication Library) | 1.36.0 | msal-extensions | 1.3.1 | msgpack | 1.1.2 |
| msrest | 0.7.1 | multidict | 6.7.0 | multiproses | 0.70.18 |
| Murmur Hash | 1.0.15 | mypy-extensions | 1.0.0 | nest-asyncio | 1.6.0 |
| networkx | 3.5 | ninja | 1.13.0 | nltk | 3.9.2 |
| nodeenv | 1.10.0 | numba | 0.62.1 | numpy | 2.3.4 |
| nvidia-cublas | 13.1.1.3 | nvidia-cuda-cupti | 13.0.85 | nvidia-cuda-nvrtc | 13.0.88 |
| nvidia-cuda-runtime | 13.0.96 | nvidia-cudnn-cu13 | 9.20.0.48 | nvidia-cufft | 12.0.0.61 |
| nvidia-cufile | 1.15.1.6 | nvidia-curand | 10.4.0.35 | nvidia-cusolver | 12.0.4.66 |
| nvidia-cusparse | 12.6.3.3 | nvidia-cusparselt-cu13 | 0.8.1 | nvidia-ml-py | 13.580.82 |
| nvidia-nccl-cu12 | 2.30.4 | nvidia-nccl-cu13 | 2.29.7 | nvidia-nvjitlink | 13.0.88 |
| nvidia-nvshmem-cu13 | 3.4.5 | nvidia-nvtx | 13.0.85 | oauthlib | 3.2.0 |
| OpenAI | 2.37.0 | opencensus | 0.11.4 | opencensus-konteks | 0.1.3 |
| opentelemetry-api | 1.42.1 | opentelemetry-proto | 1.42.1 | opentelemetry-sdk | 1.42.1 |
| opentelemetry-semantic-conventions | 0.63b1 | optuna | 3.6.1 | Integrasi Optuna | 3.6.0 |
| orjson | 3.11.9 | ormsgpack | 1.12.2 | packaging | 25.0 |
| pandas | 2.3.3 | parso | 0.8.5 | pathspec | 0.12.1 |
| patsy | 1.0.1 | pexpect | 4.9.0 | bantal | 12.0.0 |
| pip | 25,3 | platformdirs | 4.5.0 | pluggy | 1.5.0 |
| anjing peliharaan | 1.9.0 | tanpa informasi tambahan mengenai konteks yang berarti bagi istilah "preshed", mungkin terpikir untuk menggambarkan istilah tersebut sebagai langkah atau proses yang sedang terjadi sebelum sesuatu diselesaikan atau diproses lebih lanjut. | 3.0.13 | prometheus_client | 0.21.1 |
| prompt_toolkit | 3.0.52 | propcache | 0.3.1 | nabi | 1.2.1 |
| proto-plus | 1.28.0 | protobuf | 6.33.5 | psutil | 7.0.0 |
| ptyprocess | 0.7.0 | pure_eval | 0.2.3 | py-cpuinfo | 9.0.0 |
| py-spy | 0.4.2 | pyarrow | 21.0.0 | pyasn1 | 0.6.1 |
| pyasn1_modules | 0.4.2 | pyccolo | 0.0.83 | pycparser | 2.23 |
| pydantic | 2.13.3 | pydantic_core | 2.46.3 | pyflakes | 3.2.0 |
| Pygments | 2.19.2 | PyGObject | 3.48.2 | pyiceberg | 0.11.1 |
| PyJWT | 2.10.1 | pyparsing | 3.2.5 | pyright | 1.1.409 |
| pyroaring | 1.1.0 | pytesseract | 0.3.13 | pytest | 8.4.2 |
| python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.2 | python-editor | 1.0.4 |
| pytokens | 0.2.0 | pytz | 2025.2 | PyYAML | 6.0.3 |
| pyzmq | 27.1.0 | ikan pari | 2.37.0 | referencing | 0.37.0 |
| regex | 2025.9.1 | requests | 2.32.5 | requests-oauthlib | 2.0.0 |
| requests-toolbelt | 1.0.0 | rich | 14.2.0 | rpds-py | 0.28.0 |
| s3transfer | 0.14.0 | safetensors | 0.7.0 | scikit-image | 0.25.2 |
| scikit-learn | 1.7.2 | scipy | 1.16.3 | pemodel kalimat | 5.5.1 |
| sentencepiece | 0.2.1 | setuptools | 80.9.0 | bentuk | 0.51.0 |
| shellingham | 1.5.4 | six | 1.17.0 | pemotong | 0.0.8 |
| smart_open | 7.6.1 | smmap | 5.0.0 | sniffio | 1.3.0 |
| soundfile | 0.13.1 | soxr | 1.1.0 | lapang | 3.8.14 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.43 |
| sqlparse | 0.5.5 | Seriusan | 2.5.3 | ssh-import-id | 5.11 |
| stack-data | 0.6.3 | stanio | 0.5.1 | starlette | 0.52.1 |
| statsmodels | 0.14.5 | strictyaml | 1.7.3 | sympy | 1.14.0 |
| tenacity | 9.1.2 | TensorBoard | 2.20.0 | tensorboard-data-server | 0.7.2 |
| tensorboardX | 2.6.5 | Tekstual | 8.2.7 | Thinc | 8.3.13 |
| threadpoolctl | 3.5.0 | tifffile | 2025.10.4 | tiktoken | 0.13.0 |
| tokenize_rt | 6.2.0 | tokenisasi | 0.22.1 | tomli | 2.0.1 |
| obor/senter | 2.12.0 | torcheval | 0.0.7 | torchvision | 0.27.0 |
| tornado | 6.5.1 | tqdm | 4.67.1 | traitlets | 5.14.3 |
| Trafo | 4.57.6 | Triton | 3.7.0 | typeguard | 4.3.0 |
| Typer | 0.25.1 | mengetik-memeriksa | 0.9.0 | inspeksi-pengetikan | 0.4.2 |
| typing_extensions | 4.15.0 | tzdata | 2026.2 | uc-micro-py | 1.0.3 |
| unattended-upgrades | 0.1 | urllib3 | 2.5.0 | uuid_utils | 0.16.0 |
| uvicorn | 0.47.0 | virtualenv | 20.35.4 | wadllib | 1.3.6 |
| wasabi | 1.1.3 | wcwidth | 0.2.13 | Musang | 1.0.0 |
| Alat kerja | 3.1.3 | wheel | 0.45.1 | Setiap kali | 0.7.3 |
| widgetsnbextension | 4.0.14 | wrapt | 1.17.0 | xgboost | 3.2.0 |
| xgboost-ray | 0.1.19 | xxhash | 3.5.0 | yarl | 1.22.0 |
| zipp | 3.23.0 | zstandard | 0.25.0 |
Pustaka Bahasa Pemrograman R
Pustaka R identik dengan Pustaka R di Databricks Runtime 19.
Pustaka Java dan Scala (kluster Scala 2.13)
Selain pustaka Java dan Scala di Databricks Runtime 19, Databricks Runtime 19 ML berisi JAR berikut:
Kluster CPU
| ID Kelompok | Identifikasi Artefak | Versi |
|---|---|---|
| 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 |
Kluster GPU
| ID Kelompok | Identifikasi Artefak | Versi |
|---|---|---|
| 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 |
Rilis yang tidak didukung
Tip
Untuk melihat catatan rilis untuk versi Databricks Runtime yang telah mencapai akhir masa dukungan (EoS), lihat Catatan rilis Databricks Runtime yang telah mencapai akhir masa dukungan. Versi EoS Databricks Runtime telah dihentikan dan mungkin tidak diperbarui.