nvidia-nvtx-cu11
NVIDIA Tools Extension
Decision gist · record as of 2026-08-14
No—the package is abandoned (1411 days since last release) with unclear proprietary licensing. While it provides profiling instrumentation for CUDA 11 workloads, lack of maintenance means no support for newer CUDA versions or Python releases. Consider alternative profiling approaches instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 11 environment and compatible GPU; platform-specific wheels limit portability to x86_64 Linux, aarch64, or Windows.
- Medium install friction due to platform-specific wheels (x86_64 Linux, aarch64, Windows).
- Package is abandoned as of 1411 days since last release, with no recent maintenance visible.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment—not an open-source license. Verify licensing terms with NVIDIA before use in commercial or redistributed applications.
last release 2022-10-03 (1411 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,524,657 downloads/mo, #3,817 on PyPI
Alternatives
Verify before relying
pip install nvidia-nvtx-cu11
import nvidia_nvtx_cu11
# Use NVTX API to annotate events for Visual Profiler capture- Whether NVTX annotations work with CUDA versions beyond 11.x
- Compatibility with Python versions beyond 3.11 despite 'supports_current' classifier
- Whether abandoned status affects Visual Profiler integration in recent NVIDIA tools
What it is and what it does
nvidia-nvtx-cu11 is NVIDIA's Tools Extension library for CUDA 11, providing a C-based API to instrument applications with event markers, code range annotations, and resource labels. These annotations are captured by NVIDIA's Visual Profiler to visualize performance characteristics and identify bottlenecks during GPU-accelerated workloads.
The package targets machine learning, deep learning, and scientific computing workflows where profiling GPU execution is critical. It has no runtime dependencies and ships as platform-specific wheels for Linux (x86_64 and aarch64) and Windows. However, the package has been abandoned for 1411 days with no recent updates, raising concerns about compatibility with newer CUDA versions and modern profiling tools.
Use it for
- Annotate GPU kernel launches and memory transfers in CUDA applications for Visual Profiler visualization
- Mark critical code sections in deep learning training loops to identify performance bottlenecks
- Label custom CUDA kernels and resource allocations for detailed performance analysis
- Instrument scientific computing applications to correlate GPU events with CPU-side code execution
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—the package is abandoned (1411 days since last release) with unclear proprietary licensing.
While it provides profiling instrumentation for CUDA 11 workloads, lack of maintenance means no support for newer CUDA versions or Python releases. Consider alternative profiling approaches instead.
Install
nvidia-nvtx-cu11 on PyPI
Before you install
Medium install friction due to platform-specific wheels (x86_64 Linux, aarch64, Windows). Package is abandoned as of 1411 days since last release, with no recent maintenance visible.
Requires CUDA 11 environment and compatible GPU; platform-specific wheels limit portability to x86_64 Linux, aarch64, or Windows.
License in practice
Licensed under NVIDIA Proprietary Software with unclear treatment—not an open-source license. Verify licensing terms with NVIDIA before use in commercial or redistributed applications.
Quickstart
pip install nvidia-nvtx-cu11
import nvidia_nvtx_cu11
# Use NVTX API to annotate events for Visual Profiler captureVerify before relying
- Whether NVTX annotations work with CUDA versions beyond 11.x
- Compatibility with Python versions beyond 3.11 despite 'supports_current' classifier
- Whether abandoned status affects Visual Profiler integration in recent NVIDIA tools
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Supports the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,411 days since the last release |
| First released | |
| Downloads | 1,524,657 / month, #3,817 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseNatural Language :: EnglishOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: Libraries |
Evidence: nvidia_nvtx_cu11-11.8.86-py3-none-manylinux1_x86_64.whl; nvidia_nvtx_cu11-11.8.86-py3-none-manylinux2014_aarch64.whl; nvidia_nvtx_cu11-11.8.86-py3-none-manylinux2014_x86_64.whl; nvidia_nvtx_cu11-11.8.86-py3-none-win_amd64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “visual profiler integration”
- nvidia-nvtx-cu11Provides a C-based API for annotating events, code ranges, and…
- nvidia-nvtxProvides a Python API for annotating events and code ranges in…
- nvidia-nvtx-cu12Provides a C-based API for annotating events, code ranges, and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also nvidia-nvtx-cu12 · nvtx · nvidia-nvtx · nvidia-cuda-cupti-cu11 · nvidia-cuda-cupti-cu12 · cupti-python · nvidia-cuda-cupti · nvidia-cuda-nvcc-cu12 · nvidia-cuda-runtime-cu11 · nvidia-cuda-nvrtc-cu11