{"library":"cudf-cu12","type":"library","category":null,"description":"cuDF is a GPU-accelerated Python DataFrame library that mirrors the pandas API, enabling data scientists to perform data manipulation and analytics tasks entirely on NVIDIA GPUs. It is a core component of the RAPIDS suite of open-source libraries, designed to significantly speed up data processing for large datasets by leveraging GPU parallelism and memory bandwidth. cuDF is actively developed with frequent releases, typically aligned with the RAPIDS project's release cycle.","language":"python","status":"active","version":"26.4.0","tags":["GPU","DataFrame","RAPIDS","data science","pandas-like","cuda"],"last_verified":"Mon May 25","install":[{"cmd":"pip install cudf-cu12 rmm-cu12 --extra-index-url https://pypi.nvidia.com","imports":["import cudf","import cudf.pandas; cudf.pandas.install() # before import pandas"]},{"cmd":"conda install -c rapidsai -c conda-forge -c nvidia cudf=26.04 python='>=3.11,<3.12' cuda-version=12.0","imports":[]}],"homepage":"https://rapids.ai","github":"https://github.com/rapidsai/cudf","docs":"https://docs.rapids.ai/api/cudf/stable/","changelog":null,"pypi":"https://pypi.org/project/cudf-cu12/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":48.5,"avg_import_s":4.18,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cudf-cu12/compatibility"}}