NVIDIA Nsight Compute Profiler Report Python Interface
The ncu-report package provides a Python interface to work with NVIDIA Nsight Compute profiler reports. It allows users to parse, analyze, and manipulate profiling data programmatically using Python.
Installation
You can install the ncu-report package using pip:
pip install ncu-reportUsage
After installing the package, you can import it in your Python scripts:
import ncu_reportMore details about usage can be found in NVIDIA Nsight Compute’s online documentation.
1 maintainer
Metadata
1 maintainer
Release files for ncu-report 2026.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| ncu_report-2026.3.0-cp37-abi3-win_arm64.whl | CPython 3.7 | abi3 | Windows ARM64 | Details |
| ncu_report-2026.3.0-cp37-abi3-win_amd64.whl | CPython 3.7 | abi3 | Windows x86-64 | Details |
| ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_x86_64.whl | CPython 3.7 | abi3 | Linux glibc 2.25+ x86-64 | Details |
| ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_aarch64.whl | CPython 3.7 | abi3 | Linux glibc 2.25+ ARM64 | Details |
| ncu_report-2026.3.0-cp37-abi3-macosx_13_0_x86_64.whl | CPython 3.7 | abi3 | macOS 13.0+ x86-64 | Details |
| ncu_report-2026.3.0-cp37-abi3-macosx_13_0_arm64.whl | CPython 3.7 | abi3 | macOS 13.0+ ARM64 | Details |
Total release size: 91.3 MB
Release files / ncu_report-2026.3.0-cp37-abi3-win_arm64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-win_arm64.whl |
|---|---|
| Size | 13.3 MB |
| Tags | CPython 3.7 Windows ARM64 abi3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / ncu_report-2026.3.0-cp37-abi3-win_amd64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-win_amd64.whl |
|---|---|
| Size | 13.7 MB |
| Tags | CPython 3.7 Windows x86-64 abi3 |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_x86_64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_x86_64.whl |
|---|---|
| Size | 17.3 MB |
| Tags | CPython 3.7 Linux glibc 2.25+ x86-64 abi3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_aarch64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-manylinux_2_25_aarch64.whl |
|---|---|
| Size | 16.9 MB |
| Tags | CPython 3.7 Linux glibc 2.25+ ARM64 abi3 |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
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Release files / ncu_report-2026.3.0-cp37-abi3-macosx_13_0_x86_64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-macosx_13_0_x86_64.whl |
|---|---|
| Size | 15.3 MB |
| Tags | CPython 3.7 abi3 macOS 13.0+ x86-64 |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / ncu_report-2026.3.0-cp37-abi3-macosx_13_0_arm64.whl
| Download URL | ncu_report-2026.3.0-cp37-abi3-macosx_13_0_arm64.whl |
|---|---|
| Size | 14.7 MB |
| Tags | CPython 3.7 abi3 macOS 13.0+ ARM64 |
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No |
| Uploaded via |
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