pyproject.toml

[build-system]
requires = [
  "setuptools>=61",
  "wheel",
]
build-backend = "setuptools.build_meta:__legacy__"

[project]
name='jumper-kernel'
version='1.1.1'
authors=[
  {name='Elias Werner',email='elias.werner@tu-dresden.de'},
]
description='This is a Jupyter Python Kernel for performance engineering. Beside performance data as CPU, GPU, memory utilization it supports performance data recording with Score-P.'
readme={ file='README.md', content-type="text/markdown"}
license={ file="LICENSE" }
requires-python = ">=3.8"
classifiers=[
"Programming Language :: Python :: 3",
]

dependencies = [
  "ipykernel",
  "ipywidgets",
  "ipympl",
  "jupyter-client",
  "astunparse",
  "dill",
  "itables",
  "matplotlib",
  "pandas",
  "pynvml" # we need that only for Nvidia GPU systems
]

[project.urls]
homepage = "https://github.com/score-p/scorep_jupyter_kernel_python"
repository = "https://github.com/score-p/scorep_jupyter_kernel_python"