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-0.6.23-cp38-cp38-win_amd64.whl (26.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

gefpy-0.6.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

gefpy-0.6.23-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.8 MB view details)

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

File details

Details for the file gefpy-0.6.23-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: gefpy-0.6.23-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-0.6.23-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 085c444aabc983cd7151a87b498f20c6d06dd67d89b17c40a6cf2b09e53c43bc
MD5 67a3c7384c36277d91bc7044f4f7d450
BLAKE2b-256 f5ff1a40da77d4f9315ff23d24177f41ee107b217e0a1c964a7b96c3293bfe26

See more details on using hashes here.

File details

Details for the file gefpy-0.6.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gefpy-0.6.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8339618d0d6917ef9733dcbd1e0c93dc902c4c848da39ba3e34d6e83537c02c9
MD5 abef953ba21307128cba432cdd9950ce
BLAKE2b-256 3be44e9af38ee2c47dfb83fc01437be543727939aa4150ac810183c0c2ddd096

See more details on using hashes here.

File details

Details for the file gefpy-0.6.23-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gefpy-0.6.23-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83b5446a7077c275bb0d858b0acb3a8338542c739499905628ed4a7f5af0af7b
MD5 c1f2e346080c2e7e1a6eb57051f75a03
BLAKE2b-256 4f652806619cbc8e535573b7090a974ca16b2fdd9d8742c89fa00c8531666733

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