Skip to main content

A Python project template.

Project description

SciBench

PyPI PyPI - Python Version PyPI - Status PyPI - Implementation PyPI - Wheel GitHub

test lint docs codecov

Experimental general-purpose benchmarking framework for research.

Install

To install from GitHub:

pip install git+https://github.com/marcofavorito/scibench.git

Tests

To run tests: tox

To run only the code tests: tox -e py3.7

To run only the linters:

  • tox -e flake8
  • tox -e mypy
  • tox -e black-check
  • tox -e isort-check

Please look at the tox.ini file for the full list of supported commands.

Docs

To build the docs: mkdocs build

To view documentation in a browser: mkdocs serve and then go to http://localhost:8000

License

scibench is released under the GNU Lesser General Public License v3.0 or later (LGPLv3+).

Copyright 2022 Marco Favorito

Authors

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scibench-0.0.1.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

scibench-0.0.1-py3-none-any.whl (13.4 kB view details)

Uploaded Python 3

File details

Details for the file scibench-0.0.1.tar.gz.

File metadata

  • Download URL: scibench-0.0.1.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for scibench-0.0.1.tar.gz
Algorithm Hash digest
SHA256 74315edda2d97b49a3603001d4d83b11510aa3d9721000dd5d7076cfece6c179
MD5 597e502bc354b6d344894fa10c03927c
BLAKE2b-256 89c7fa1871a8912019bdfd8d63a41d02242257063ffd309bd4d06d6f5db4598d

See more details on using hashes here.

File details

Details for the file scibench-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: scibench-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 13.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for scibench-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5a1efc40b98e66e2520997e914d57c3de1a8733f2b87314ef23c819bf1f8dc31
MD5 ddf7c282d18e529712bc2ac66e1d45bd
BLAKE2b-256 b1febfe873690b3650dfc872b3ba5c0d4544b47564b8d7d3383664424bc76262

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page