Skip to main content

A thin, pythonic wrapper around geftool.

Project description

Our GitHub repository has been transferred to https://github.com/STOmics/gefpy, please visit us for the latest update!

gefpy


gefpy is a thin, pythonic wrapper around geftools, which runs on Python 3 (3.7+).

API

See here.

Reporting bugs

Open a bug at https://github.com/BGIResearch/gefpy/issues.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

gefpy-0.6.18-cp38-cp38-win_amd64.whl (26.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

gefpy-0.6.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

gefpy-0.6.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file gefpy-0.6.18-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: gefpy-0.6.18-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 26.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for gefpy-0.6.18-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 2171ed85e3f9cfe59e8ee368ca1a4a1213a1b1bb7281aa21be73adec353f377b
MD5 d881adbcb1be02f8b5adf2894ab3f763
BLAKE2b-256 ed7356c3ca2d0c093fbc145e709830b10d804b9f3303efd7de633e1b515b521f

See more details on using hashes here.

File details

Details for the file gefpy-0.6.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gefpy-0.6.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 800780bffc3d5fe6e2f65fcac83f4396f036cce75afa83159a0cdfc45c60fc51
MD5 878561043f33641377a94e5078921acd
BLAKE2b-256 9aa36f4dd1a3d1e7c2083f68233de3ad365f6f043ce98a52a11469a47002690a

See more details on using hashes here.

File details

Details for the file gefpy-0.6.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gefpy-0.6.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 566a2d1ff2aa4b52fb011bbe5e5380baf16648b31774635fb2fc261cfd790ec6
MD5 cf9390aa6eef48afb5402f5f54d1dfe5
BLAKE2b-256 c810f6f2a934ca630d615cd04ca471a78b67f5642e9f4921accaf44cc5b424c5

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