release: v2.0.0
Issue #, if available:
Description of changes:
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Staleness Report: 2.0.0(gpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.0.0 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| pandas | 2.2.2 | 2.2.2 |
| altair | 5.3.0 | 5.3.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.34.144 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.1.0 | 3.1.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.8 |
| jupyter-ai | 2.19.0 | 2.19.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.2 | 3.1.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.9 | 0.1.9 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.1 | 3.9.1 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.0 | 24.0 |
| ${\color{red}torchvision}$ | 0.18.0 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.5.0 | 24.5.0 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.111.1 |
| jupyter-activity-monitor-extension | 0.2.0 | 0.2.0 |
| jupyter-collaboration | 2.1.1 | 2.1.1 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.4.1 | 3.4.1 |
| langchain-aws | 0.1.11 | 0.1.11 |
| mlflow | 2.14.3 | 2.14.3 |
| py-xgboost-gpu | 2.0.3 | 2.0.3 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.2.0 | 1.2.0 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.1.9 | 0.1.9 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.226.1 | 2.226.1 |
| sagemaker-studio-analytics-extension | 0.0.22 | 0.0.22 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.16.2 | 2.16.2 |
| uvicorn | 0.30.1 | 0.30.1 |
Staleness Report: 2.0.0(cpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.0.0 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| pandas | 2.2.2 | 2.2.2 |
| altair | 5.3.0 | 5.3.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.34.144 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.1.0 | 3.1.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.8 |
| jupyter-ai | 2.19.0 | 2.19.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.2 | 3.1.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.9 | 0.1.9 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.1 | 3.9.1 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.0 | 24.0 |
| torchvision | 0.18.1 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.5.0 | 24.5.0 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.111.1 |
| jupyter-activity-monitor-extension | 0.2.0 | 0.2.0 |
| jupyter-collaboration | 2.1.1 | 2.1.1 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.4.1 | 3.4.1 |
| langchain-aws | 0.1.11 | 0.1.11 |
| mlflow | 2.14.3 | 2.14.3 |
| py-xgboost-cpu | 2.0.3 | 2.0.3 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.2.0 | 1.2.0 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.1.9 | 0.1.9 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.226.1 | 2.226.1 |
| sagemaker-studio-analytics-extension | 0.0.22 | 0.0.22 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.16.2 | 2.16.2 |
| uvicorn | 0.30.1 | 0.30.1 |
Staleness Report: 2.0.0(gpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.1.0rc1 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| altair | 5.4.0 | 5.4.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.34.161 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.2.0 | 3.2.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.14 |
| jupyter-ai | 2.20.0 | 2.20.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.2 | 3.1.2 |
| pandas | 2.2.2 | 2.2.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.10 | 0.1.10 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.1 | 3.9.1 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.2 | 24.2 |
| torchvision | 0.18.1 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.7.1 | 24.7.1 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.112.0 |
| jupyter-activity-monitor-extension | 0.3.1 | 0.3.1 |
| jupyter-collaboration | 2.1.2 | 2.1.2 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.5.0 | 3.5.0 |
| langchain-aws | 0.1.16 | 0.1.16 |
| mlflow | 2.15.1 | 2.15.1 |
| ${\color{red}py-xgboost-gpu}$ | 2.0.3 | 2.1.1 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.3.1 | 1.3.1 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.3.2 | 0.3.2 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.227.0 | 2.227.0 |
| sagemaker-studio-analytics-extension | 0.1.2 | 0.1.2 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.17.0 | 2.17.0 |
| uvicorn | 0.30.6 | 0.30.6 |
Staleness Report: 2.0.0(cpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.1.0rc1 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| altair | 5.4.0 | 5.4.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.34.161 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.2.0 | 3.2.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.14 |
| jupyter-ai | 2.20.0 | 2.20.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.2 | 3.1.2 |
| pandas | 2.2.2 | 2.2.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.10 | 0.1.10 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.1 | 3.9.1 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.2 | 24.2 |
| torchvision | 0.18.1 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.7.1 | 24.7.1 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.112.0 |
| jupyter-activity-monitor-extension | 0.3.1 | 0.3.1 |
| jupyter-collaboration | 2.1.2 | 2.1.2 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.5.0 | 3.5.0 |
| langchain-aws | 0.1.16 | 0.1.16 |
| mlflow | 2.15.1 | 2.15.1 |
| ${\color{red}py-xgboost-cpu}$ | 2.0.3 | 2.1.1 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.3.1 | 1.3.1 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.3.2 | 0.3.2 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.227.0 | 2.227.0 |
| sagemaker-studio-analytics-extension | 0.1.2 | 0.1.2 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.17.0 | 2.17.0 |
| uvicorn | 0.30.6 | 0.30.6 |
How much is image size increased comparing to 1.10.0 or 1.9.1?
Only 3 test failures now
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[scipy.test.Dockerfile-required_packages4] - assert 1 == 0
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pandas.test.Dockerfile-required_packages7] - assert 1 == 0
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[sm-python-sdk.test.Dockerfile-required_packages8] - assert 1 == 0
- scipy - documented https://github.com/aws/sagemaker-distribution/issues/30
- pandas - https://github.com/aws/sagemaker-distribution/issues/110
- sm-python-sdk - https://github.com/aws/sagemaker-distribution/issues/316
Python Package Size Report (GPU)
Target Image Version: 2.0.0 | Base Image Version: 1.9.0
Python Packages Total Size Summary
| Target Version Total Size | Base Version Total Size | Size Change (abs) | Size Change (%) |
|---|---|---|---|
| 3.77GB | 3.47GB | 301.84MB | 8.48 |
Top-20 Largest Python Packages
| Package | Version in the Target Image | Size |
|---|---|---|
| libtorch | 2.3.1 | 481.83MB |
| cudnn | 8.9.7.29 | 446.57MB |
| tensorflow-base | 2.17.0 | 368.87MB |
| libcublas | 12.5.3.2 | 240.05MB |
| libmagma | 2.7.2 | 229.91MB |
| libxgboost | 2.0.3 | 163.46MB |
| mkl | 2023.2.0 | 156.82MB |
| libcufft | 11.2.3.61 | 148.63MB |
| libcusparse | 12.5.1.3 | 119.08MB |
| nccl | 2.22.3.1 | 107.25MB |
| libnpp | 12.3.0.159 | 94.79MB |
| libcusolver | 11.6.3.83 | 79.26MB |
| gcc_impl_linux-64 | 12.4.0 | 59.06MB |
| llvm-openmp | 18.1.8 | 55.77MB |
| cuda-nvdisasm | 12.5.39 | 47.62MB |
| catboost | 1.2.5 | 45.07MB |
| sagemaker-code-editor | 1.3.1 | 41.07MB |
| pillow | 10.4.0 | 40.16MB |
| libcurand | 10.3.6.82 | 39.82MB |
| gds-tools | 1.10.0.4 | 37.78MB |
Python Package Size Delta
The total size of newly introduced Python packages is 1.62GB, accounts for ${\color{red}42.94}$% of the total package size.
| Package | Version in the Target Image | Version in the Base Image | Size Change (abs) | Size Change (%) |
|---|---|---|---|---|
| libtorch | 2.3.1 | - | 481.83MB | - |
| libcublas | 12.5.3.2 | - | 240.05MB | - |
| libcufft | 11.2.3.61 | - | 148.63MB | - |
| libcusparse | 12.5.1.3 | - | 119.08MB | - |
| libnpp | 12.3.0.159 | - | 94.79MB | - |
| libcusolver | 11.6.3.83 | - | 79.26MB | - |
| libxgboost | 2.0.3 | 1.7.6 | 64.18MB | 64.64 |
| gcc_impl_linux-64 | 12.4.0 | - | 59.06MB | - |
| cuda-nvdisasm | 12.5.39 | - | 47.62MB | - |
| libcurand | 10.3.6.82 | - | 39.82MB | - |
| gds-tools | 1.10.0.4 | - | 37.78MB | - |
| libllvm16 | 16.0.6 | - | 33.72MB | - |
| ray-core | 2.31.0 | - | 29.93MB | - |
| libmagma | 2.7.2 | 2.7.1 | 28.69MB | 14.26 |
| cuda-nvcc-tools | 12.5.82 | - | 22.71MB | - |
| cuda-nvrtc | 12.5.82 | - | 18.10MB | - |
| libnvjitlink | 12.5.82 | - | 15.92MB | - |
| sysroot_linux-64 | 2.17 | - | 14.79MB | - |
| rav1e | 0.6.6 | - | 14.71MB | - |
| gxx_impl_linux-64 | 12.4.0 | - | 12.54MB | - |
| cuda-nvvm-tools | 12.5.82 | - | 11.22MB | - |
| libstdcxx-devel_linux-64 | 12.4.0 | - | 11.07MB | - |
| cuda-nvcc-dev_linux-64 | 12.5.82 | - | 10.98MB | - |
| cuda-sanitizer-api | 12.5.81 | - | 9.28MB | - |
| cuda-nvvm-impl | 12.5.82 | - | 8.63MB | - |
| cuda-cupti-dev | 12.5.82 | - | 7.65MB | - |
| virtualenv | 20.21.0 | - | 6.01MB | - |
| binutils_impl_linux-64 | 2.40 | - | 5.96MB | - |
| mlflow-skinny | 2.15.1 | - | 5.47MB | - |
| python | 3.11.9 | 3.10.14 | 5.12MB | 21.03 |
| p11-kit | 0.24.1 | - | 4.48MB | - |
| mlflow-ui | 2.15.1 | - | 4.36MB | - |
| libsanitizer | 12.4.0 | - | 3.76MB | - |
| pandas | 2.2.2 | 2.1.4 | 3.12MB | 26.34 |
| aom | 3.9.1 | - | 2.58MB | - |
| cuda-nvprof | 12.5.82 | - | 2.56MB | - |
| libgcc-devel_linux-64 | 12.4.0 | - | 2.44MB | - |
| libnvjpeg | 12.3.2.81 | - | 2.38MB | - |
| ray-default | 2.31.0 | - | 2.31MB | - |
| poppler-data | 0.4.12 | - | 2.24MB | - |
| svt-av1 | 2.1.2 | - | 2.24MB | - |
| imagecodecs | 2024.6.1 | - | 1.96MB | - |
| scipy | 1.12.0 | 1.11.4 | 1.92MB | 13.21 |
| sagemaker-code-editor | 1.3.1 | 1.1.0 | 1.91MB | 4.88 |
| cuda-cupti | 12.5.82 | - | 1.83MB | - |
| poppler | 24.08.0 | - | 1.82MB | - |
| gnutls | 3.8.7 | - | 1.79MB | - |
| py-spy | 0.3.14 | - | 1.57MB | - |
| libjxl | 0.10.3 | - | 1.51MB | - |
| nodejs | 20.12.2 | 18.20.2 | 1.45MB | 9.7 |
| libunistring | 0.9.10 | - | 1.37MB | - |
| cuda-cccl_linux-64 | 12.5.39 | - | 1.29MB | - |
| cccl | 2.4.0 | - | 1.28MB | - |
| libgrpc | 1.62.2 | 1.54.3 | 1.25MB | 21.88 |
| libparquet | 15.0.2 | - | 1.13MB | - |
| elfutils | 0.191 | - | 1.13MB | - |
| pillow | 10.4.0 | 10.3.0 | 1.07MB | 2.73 |
| libhwy | 1.1.0 | - | 1.06MB | - |
| matplotlib-base | 3.9.2 | 3.8.4 | 1.06MB | 16.17 |
| plotly | 5.23.0 | 5.22.0 | 1.04MB | 20.51 |
| rdma-core | 53.0 | 28.9 | 998.46KB | 27.37 |
| nettle | 3.9.1 | - | 987.93KB | - |
| setuptools | 72.1.0 | 70.1.1 | 943.04KB | 194.32 |
| kernel-headers_linux-64 | 3.10.0 | - | 922.21KB | - |
| libcufile | 1.10.1.7 | - | 896.67KB | - |
| tf-keras | 2.17.0 | - | 882.79KB | - |
| libarrow-gandiva | 15.0.2 | - | 879.88KB | - |
| libnvfatbin | 12.5.82 | - | 781.91KB | - |
| hyperopt | 0.2.7 | - | 771.25KB | - |
Python Package Size Report (CPU)
Target Image Version: 2.0.0 | Base Image Version: 1.9.0
Python Packages Total Size Summary
| Target Version Total Size | Base Version Total Size | Size Change (abs) | Size Change (%) |
|---|---|---|---|
| 1.19GB | 1.27GB | -87.18MB | -6.69 |
Top-20 Largest Python Packages
| Package | Version in the Target Image | Size |
|---|---|---|
| mkl | 2023.2.0 | 156.82MB |
| tensorflow-base | 2.17.0 | 146.40MB |
| llvm-openmp | 18.1.8 | 55.77MB |
| libtorch | 2.3.1 | 47.54MB |
| catboost | 1.2.5 | 45.07MB |
| sagemaker-code-editor | 1.3.1 | 41.07MB |
| pillow | 10.4.0 | 40.16MB |
| libllvm16 | 16.0.6 | 33.72MB |
| pytorch | 2.3.1 | 31.89MB |
| libllvm14 | 14.0.6 | 30.03MB |
| ray-core | 2.31.0 | 29.93MB |
| python | 3.11.9 | 29.45MB |
| pandoc | 3.3 | 19.92MB |
| amazon_sagemaker_sql_editor | 0.1.10 | 17.26MB |
| scipy | 1.12.0 | 16.47MB |
| nodejs | 20.12.2 | 16.37MB |
| pandas | 2.2.2 | 14.96MB |
| rav1e | 0.6.6 | 14.71MB |
| statsmodels | 0.14.2 | 11.78MB |
| icu | 75.1 | 11.57MB |
Python Package Size Delta
The total size of newly introduced Python packages is 153.74MB, accounts for ${\color{red}12.65}$% of the total package size.
| Package | Version in the Target Image | Version in the Base Image | Size Change (abs) | Size Change (%) |
|---|---|---|---|---|
| libtorch | 2.3.1 | - | 47.54MB | - |
| libllvm16 | 16.0.6 | - | 33.72MB | - |
| ray-core | 2.31.0 | - | 29.93MB | - |
| tensorflow-base | 2.17.0 | 2.15.0 | 9.91MB | 7.26 |
| virtualenv | 20.21.0 | - | 6.01MB | - |
| mlflow-skinny | 2.15.1 | - | 5.47MB | - |
| python | 3.11.9 | 3.10.14 | 5.12MB | 21.03 |
| p11-kit | 0.24.1 | - | 4.48MB | - |
| mlflow-ui | 2.15.1 | - | 4.36MB | - |
| pandas | 2.2.2 | 2.1.4 | 3.12MB | 26.34 |
| libxgboost | 2.0.3 | 1.7.6 | 2.53MB | 104.02 |
| ray-default | 2.31.0 | - | 2.31MB | - |
| poppler-data | 0.4.12 | - | 2.24MB | - |
| scipy | 1.12.0 | 1.11.4 | 1.92MB | 13.21 |
| sagemaker-code-editor | 1.3.1 | 1.1.0 | 1.91MB | 4.88 |
| poppler | 24.08.0 | - | 1.82MB | - |
| gnutls | 3.8.7 | - | 1.79MB | - |
| py-spy | 0.3.14 | - | 1.57MB | - |
| nodejs | 20.12.2 | 18.20.2 | 1.45MB | 9.7 |
| libunistring | 0.9.10 | - | 1.37MB | - |
| elfutils | 0.191 | - | 1.13MB | - |
| pillow | 10.4.0 | 10.3.0 | 1.07MB | 2.73 |
| matplotlib-base | 3.9.2 | 3.8.4 | 1.06MB | 16.17 |
| plotly | 5.23.0 | 5.22.0 | 1.04MB | 20.51 |
| nettle | 3.9.1 | - | 987.93KB | - |
| setuptools | 72.1.0 | 70.1.1 | 943.04KB | 194.32 |
| tf-keras | 2.17.0 | - | 882.79KB | - |
| hyperopt | 0.2.7 | - | 771.25KB | - |
| libgoogle-cloud-storage | 2.28.0 | - | 751.27KB | - |
| sqlalchemy | 2.0.32 | 2.0.31 | 748.74KB | 27.45 |
| lightgbm | 4.3.0 | 3.3.5 | 706.65KB | 43.86 |
| libgrpc | 1.62.2 | 1.59.3 | 699.90KB | 10.86 |
Staleness Report: 2.0.0(gpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.1.0 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| altair | 5.4.0 | 5.4.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.35.0 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.2.0 | 3.2.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.14 |
| ${\color{red}jupyter-ai}$ | 2.20.0 | 2.21.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.3 | 3.1.3 |
| pandas | 2.2.2 | 2.2.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.10 | 0.1.10 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.2 | 3.9.2 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.2 | 24.2 |
| torchvision | 0.18.1 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.7.1 | 24.7.1 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.112.1 |
| jupyter-activity-monitor-extension | 0.3.1 | 0.3.1 |
| jupyter-collaboration | 2.1.2 | 2.1.2 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.5.0 | 3.5.0 |
| langchain-aws | 0.1.16 | 0.1.16 |
| mlflow | 2.15.1 | 2.15.1 |
| ${\color{red}py-xgboost-gpu}$ | 2.0.3 | 2.1.1 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.3.1 | 1.3.1 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.3.2 | 0.3.2 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.227.0 | 2.227.0 |
| sagemaker-studio-analytics-extension | 0.1.2 | 0.1.2 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.17.0 | 2.17.0 |
| tf-keras | 2.17.0 | 2.17.0 |
| uvicorn | 0.30.6 | 0.30.6 |
Staleness Report: 2.0.0(cpu)
| Package | Current Version in the Distribution image | Latest Relevant Version in Upstream |
|---|---|---|
| ${\color{red}numpy}$ | 1.26.4 | 2.1.0 |
| jinja2 | 3.1.4 | 3.1.4 |
| pytorch | 2.3.1 | 2.3.1 |
| altair | 5.4.0 | 5.4.0 |
| ${\color{red}boto3}$ | 1.34.131 | 1.35.0 |
| ipython | 8.26.0 | 8.26.0 |
| jupyter-lsp | 2.2.5 | 2.2.5 |
| ${\color{red}jupyterlab}$ | 4.1.8 | 4.2.4 |
| amazon-q-developer-jupyterlab-ext | 3.2.0 | 3.2.0 |
| ${\color{red}langchain}$ | 0.2.5 | 0.2.14 |
| ${\color{red}jupyter-ai}$ | 2.20.0 | 2.21.0 |
| amazon-sagemaker-jupyter-ai-q-developer | 1.0.7 | 1.0.7 |
| jupyter-scheduler | 2.7.1 | 2.7.1 |
| amazon-sagemaker-jupyter-scheduler | 3.1.3 | 3.1.3 |
| pandas | 2.2.2 | 2.2.2 |
| amazon-sagemaker-sql-magic | 0.1.3 | 0.1.3 |
| ${\color{red}jupyterlab-lsp}$ | 5.0.3 | 5.1.0 |
| amazon_sagemaker_sql_editor | 0.1.10 | 0.1.10 |
| ${\color{red}scipy}$ | 1.12.0 | 1.14.0 |
| matplotlib-base | 3.9.2 | 3.9.2 |
| ${\color{red}scikit-learn}$ | 1.4.2 | 1.5.1 |
| pip | 24.2 | 24.2 |
| torchvision | 0.18.1 | 0.18.1 |
| autogluon | 1.1.1 | 1.1.1 |
| ipywidgets | 8.1.3 | 8.1.3 |
| ${\color{red}notebook}$ | 7.1.3 | 7.2.1 |
| aws-glue-sessions | 1.0.6 | 1.0.6 |
| conda | 24.7.1 | 24.7.1 |
| ${\color{red}fastapi}$ | 0.110.3 | 0.112.1 |
| jupyter-activity-monitor-extension | 0.3.1 | 0.3.1 |
| jupyter-collaboration | 2.1.2 | 2.1.2 |
| jupyter-dash | 0.4.2 | 0.4.2 |
| jupyter-server-proxy | 4.3.0 | 4.3.0 |
| jupyterlab-git | 0.50.1 | 0.50.1 |
| keras | 3.5.0 | 3.5.0 |
| langchain-aws | 0.1.16 | 0.1.16 |
| mlflow | 2.15.1 | 2.15.1 |
| ${\color{red}py-xgboost-cpu}$ | 2.0.3 | 2.1.1 |
| pyhive | 0.7.0 | 0.7.0 |
| python-gssapi | 1.8.3 | 1.8.3 |
| python-lsp-server | 1.11.0 | 1.11.0 |
| sagemaker-code-editor | 1.3.1 | 1.3.1 |
| sagemaker-headless-execution-driver | 0.0.13 | 0.0.13 |
| sagemaker-jupyterlab-emr-extension | 0.3.2 | 0.3.2 |
| sagemaker-jupyterlab-extension | 0.3.2 | 0.3.2 |
| sagemaker-kernel-wrapper | 0.0.2 | 0.0.2 |
| sagemaker-mlflow | 0.1.0 | 0.1.0 |
| sagemaker-python-sdk | 2.227.0 | 2.227.0 |
| sagemaker-studio-analytics-extension | 0.1.2 | 0.1.2 |
| supervisor | 4.2.5 | 4.2.5 |
| tensorflow | 2.17.0 | 2.17.0 |
| tf-keras | 2.17.0 | 2.17.0 |
| uvicorn | 0.30.6 | 0.30.6 |
Staleness analysis
- numpy - ton of packages not migrated to numpy 2 - tensorflow, langchain, jupyter-ai, mlflow, etc. Community needs time to migrate. Will likely need to catch in next major
- boto3 - pinned to patch w each aiobotocore release
- jupyterlab - jupyter-collaboration req's jupyterlab<4.2
- langchain - autogluon.multimodal requires jsonschema<4.22, newer langchain requires jsonschema>=4.22
- jupyter-ai - New version released in between image build and stalene
- jupyterlab-lsp - amazon_sagemaker_sql_editor req's jupyterlab-lsp==5.0.*
- scipy - autogluon req's scipy<1.13
- scikit-learn - autogluon req's scikit-learn<1.4.3
- notebook - due to jupyterlab version, restricted by jupyter-collaboration
- fastapi - autogluon.multimodal requires jsonschema<4.22, newer fastapi requires jsonschema>=4.22
- py-xgboost-{cpu/gpu} - autogluon.timeseries req's xgboost<2.1