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pylibcudf-cu12

library26.6.0pypypiunverified

pylibcudf-cu12 is the Python binding layer for libcudf, a GPU-accelerated DataFrame library that is part of the NVIDIA RAPIDS ecosystem. It provides high-performance data manipulation primitives, primarily used through the higher-level `cudf` library. As of version 26.4.0, it follows a monthly release cadence, aligned with other RAPIDS components.

data ai-ml

pip install pylibcudf-cu12

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · PYLIBCUDF-CU12

pylibcudf-cu12

datapythonv26.6.0

Install

17.5s avg

Import

—

Disk

542MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.0.0a0.dev0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.920 runs

installs and imports cleanly · install 0.0s · import 0.000s · 17.8MB

glibc

py 3.10–3.920 runs

installs and imports cleanly · install 17.5s · import 0.000s · 1331.2MB

542MB installed

● package 542MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

cudf

✓ import cudf

While 'pylibcudf' is the binding library, users typically interact with the higher-level 'cudf' API.

This quickstart demonstrates how to create a basic `cudf.DataFrame` and perform a simple element-wise operation, showcasing the primary entry point for using the library.

import cudf import numpy as np # Create a cuDF DataFrame from a dictionary data = {'col1': np.random.rand(10), 'col2': np.arange(10)} gdf = cudf.DataFrame(data) print("Original DataFrame:") print(gdf) # Perform a simple operation gdf['col3'] = gdf['col1'] * 2 print("\nDataFrame after operation:") print(gdf)

Debug

Known issues

breakingStarting with v26.04.00, `pylibcudf` (and by extension `cudf`) requires PyArrow version 19 or higher. Earlier versions will lead to import or runtime errors.

fix

Upgrade PyArrow: `pip install 'pyarrow>=19'`

affects: >=26.04.00

breakingThe `DataFrame.apply_chunks`, `Groupby.apply_grouped`, and `DataFrame.apply_rows` methods have been removed. They were deprecated in earlier versions (v25.10.00) and removed in v25.12.00.

fix

Review `cudf` migration guides for alternative approaches to custom row/chunk-wise operations. Often, these can be replaced by UDFs (User Defined Functions) or other optimized `cudf` methods.

affects: >=25.10.00

gotchaThe `pylibcudf-cu12` package is specifically compiled for CUDA Toolkit 12.x. Installing this package on a system with CUDA 11.x (or no CUDA toolkit) will likely result in `ImportError` or runtime failures due to ABI incompatibility.

fix

Ensure your system has CUDA Toolkit 12.x installed and configured correctly. If you need CUDA 11.x, install `pylibcudf-cu11` instead.

affects: All versions of `pylibcudf-cu12`

breakingIn v25.08.00, `cudf` dropped support for CUDA 11 usages. This means that if you're upgrading from a significantly older `cudf` version and still using CUDA 11, you will encounter issues.

fix

Upgrade your CUDA Toolkit to version 12.x and install the corresponding `pylibcudf-cu12` package.

affects: >=25.08.00

breakingThe C++ function `cudf::get_current_device_resource` was removed in v26.02.00. While a C++ change, it could affect custom extensions or deep integrations relying on this.

fix

If custom C++ code or extensions use this, they will need to be updated to use alternative resource management approaches, e.g., direct `rmm` usage.

affects: >=26.02.00

Upgrade

Version history

26.6.0latest on PyPI · released Jun 9, 2026

Audit

Dependencies

pythonrequiredRequired Python version.

cudarequiredThis specific package variant requires CUDA Toolkit 12.x to be installed and available on the system.

pyarrow>=19requiredMinimum PyArrow version required by cudf v26.04.00 and later.

Agent activity

6 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/rapidsai/cudf ↗

packagehttps://pypi.org/project/pylibcudf-cu12/ ↗

homepagehttps://rapids.ai ↗

docshttps://docs.rapids.ai/api/cudf/stable/ ↗