PyPI 统计信息
我们都喜欢统计数据，所以这里有一些关于PyPI的有用统计数据。
第一方统计信息
这些统计数据直接由PyPI提供。
第三方统计信息
这些统计数据由与PyPI无关的第三方服务提供。
按总包大小排名的项目
以下是根据其包大小总和（以字节为单位）排名的前100个项目的列表。此页面已缓存24小时，因此不要期望数字是实时的。
| 项目名称 | 发布文件总和（字节） |
|---|---|
| 所有PyPI | 23.1 TB |
| tf-nightly-intel | 434.8 GB |
| tensorflow | 348.4 GB |
| tf-nightly-cpu-aws | 269.1 GB |
| tf-nightly | 268.6 GB |
| tensorflow-gpu | 237.9 GB |
| catboost-dev | 237.0 GB |
| lalsuite | 206.0 GB |
| tensorflow-io-nightly | 205.4 GB |
| paddlepaddle-gpu | 190.9 GB |
| torch | 168.7 GB |
| OpenVisus | 168.5 GB |
| frida | 165.8 GB |
| tensorflow-cpu | 148.2 GB |
| tf-nightly-macos | 139.9 GB |
| ddtrace | 87.6 GB |
| grpcio | 78.3 GB |
| tensorflow-rocm | 74.8 GB |
| ray | 71.9 GB |
| cupy-cuda92 | 71.2 GB |
| cupy-cuda100 | 70.2 GB |
| cupy-cuda90 | 66.0 GB |
| catboost | 62.2 GB |
| grpcio-tools | 59.5 GB |
| tf-nightly-cpu | 59.5 GB |
| pyAgrum-nightly | 57.1 GB |
| ovito | 56.8 GB |
| cupy-cuda91 | 55.5 GB |
| cupy-cuda101 | 55.0 GB |
| mindspore-dev | 53.6 GB |
| scipy | 53.3 GB |
| opencv-contrib-python | 47.8 GB |
| cmake | 42.5 GB |
| opencv-python | 42.2 GB |
| opencv-contrib-python-headless | 41.2 GB |
| tensorflow-intel | 39.4 GB |
| pantsbuild.pants | 38.7 GB |
| mindspore | 36.8 GB |
| deepspeech-gpu | 36.6 GB |
| cupy-cuda80 | 36.3 GB |
| udata | 35.6 GB |
| cupy-cuda102 | 35.5 GB |
| numpy | 34.3 GB |
| sickrage | 34.2 GB |
| Panda3D | 32.3 GB |
| pyqt5-tools | 32.2 GB |
| chdb | 32.1 GB |
| pulumi-azure-native | 31.9 GB |
| paddlepaddle | 31.6 GB |
| opencv-python-headless | 31.4 GB |
| pulsar-client-sn | 31.2 GB |
| casadi | 30.9 GB |
| jaxlib | 29.4 GB |
| tensorflow-io-2.0-preview | 29.3 GB |
| homeassistant | 29.0 GB |
| botocore | 27.9 GB |
| pyarrow | 27.3 GB |
| tf-gpu | 27.0 GB |
| taichi | 26.1 GB |
| awscrt | 26.1 GB |
| pygame | 25.8 GB |
| rasterio | 25.6 GB |
| polars | 25.5 GB |
| pybullet | 25.4 GB |
| azureml-dataprep-rslex | 25.3 GB |
| onnxruntime-gpu | 25.1 GB |
| cupy-cuda111 | 24.0 GB |
| matplotlib | 24.0 GB |
| CodeIntel | 23.8 GB |
| ruff | 23.3 GB |
| zeroconf | 23.2 GB |
| ray-cpp | 23.0 GB |
| semgrep | 23.0 GB |
| intel-extension-for-tensorflow-lib | 22.9 GB |
| 转换器 | 22.3 GB |
| aws-cdk-lib | 22.3 GB |
| nvidia-cudnn-cu12 | 22.3 GB |
| home-assistant-frontend | 21.8 GB |
| tendenci | 21.8 GB |
| libdeeplake | 21.4 GB |
| databricks-connect | 21.3 GB |
| ctranslate2 | 21.3 GB |
| cdktf-cdktf-provider-aws | 21.1 GB |
| intel-tensorflow | 21.1 GB |
| apache-flink | 21.0 GB |
| suitesparse-graphblas | 20.9 GB |
| uv | 20.9 GB |
| spacy | 20.9 GB |
| codeforlife-portal | 20.8 GB |
| itk-core | 20.4 GB |
| PySide2 | 20.2 GB |
| duckdb | 20.0 GB |
| cupy-cuda110 | 20.0 GB |
| monocdk | 19.9 GB |
| xpress | 19.6 GB |
| itk-filtering | 19.6 GB |
| tensorflow-cpu-aws | 19.5 GB |
| jiminy-py | 19.5 GB |
| nvidia-cudnn-cu11 | 19.1 GB |
| tensorflow-aarch64 | 18.8 GB |
| pandas | 18.5 GB |
