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Esri / packages

Package Name Access Summary Updated
bitsandbytes public k-bit optimizers and matrix multiplication routines. 2026-04-03
pillow public Pillow is the friendly PIL fork by Alex Clark and Contributors. 2026-04-02
black public The Uncompromising Code Formatter 2026-04-02
arcgis public ArcGIS API for Python 2026-04-02
arcpy public The Esri ArcPy Python library 2026-04-02
arcpy-base public The Esri ArcPy Python library 2026-04-02
libpng public PNG reference library 2026-04-01
pro_notebook_integration public Jupyter extensions to ArcGIS Pro 2026-04-01
gdal public GDAL is a translator library for raster and vector geospatial data formats. 2026-04-01
krb5 public A network authentication protocol 2026-04-01
pytokens public A Fast, spec compliant Python 3.14+ tokenizer that runs on older Python versions 2026-03-31
pathspec public Utility library for gitignore style pattern matching of file paths. 2026-03-31
jenkspy public Compute Natural Breaks (Fisher-Jenks algorithm) 2026-03-31
arcgis-mapping public Leverage Python for ArcGIS! This package provides classes for building both interactive 2D maps and immersive 3D scenes. 2026-03-31
hatch-fancy-pypi-readme public Fancy PyPI READMEs with Hatch 2026-03-31
ffmpeg public Cross-platform solution to record, convert and stream audio and video. 2026-03-31
hatchling public Modern, extensible Python build backend 2026-03-31
accelerate public Training loop of PyTorch without boilerplate code 2026-03-30
transformers public State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 2026-03-30
py-opencv public Computer vision and machine learning software library. 2026-03-30
opencv public Computer vision and machine learning software library. 2026-03-30
libopencv public Computer vision and machine learning software library. 2026-03-30
libvpl public Hardware accelerated video decode, encode, and processing on Intel GPUs 2026-03-30
onnxruntime-cpp public cross-platform, high performance ML inferencing and training accelerator 2026-03-27
onnxruntime public cross-platform, high performance ML inferencing and training accelerator 2026-03-27

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