Skip to main content

Read specialized bioinformatic file formats into dataframes.

Project description

py-oxbow

A Python interface for oxbow. Read specialized bioinformatic file formats into dataframes.

Installation

Warning: oxbow is new and under active development. It is not yet ready for production as APIs are subject to change.

pip install oxbow

Usage

API Documentation

import oxbow as ox

arrow_ipc = ox.read_bam("data.bam", "chr1:1-100000")

# Read into polars
import polars as pl
df = pl.read_ipc(arrow_ipc)

# Read into pandas
import io
import pyarrow.ipc
df = pyarrow.ipc.open_file(io.BytesIO(ipc)).read_pandas()

Development

This project uses maturin and hatch for development, which can be installed with pipx.

# create a virtual env
hatch shell

# compile a development version of the package
maturin develop --release

# open the jupyter notebooks/
jupyterlab

A local build of oxbow will be added to your virtual environment.

import oxbow as ox

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

oxbow-0.3.1.tar.gz (37.2 kB view details)

Uploaded Source

Built Distributions

oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl (2.5 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686

oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl (2.5 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686

oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl (2.5 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686

oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl (2.5 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686

oxbow-0.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp312-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12 Windows x86-64

oxbow-0.3.1-cp312-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.12 Windows x86

oxbow-0.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

oxbow-0.3.1-cp312-cp312-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

oxbow-0.3.1-cp312-cp312-macosx_10_12_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

oxbow-0.3.1-cp311-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

oxbow-0.3.1-cp311-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.11 Windows x86

oxbow-0.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

oxbow-0.3.1-cp311-cp311-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

oxbow-0.3.1-cp311-cp311-macosx_10_12_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

oxbow-0.3.1-cp310-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

oxbow-0.3.1-cp310-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86

oxbow-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

oxbow-0.3.1-cp310-cp310-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

oxbow-0.3.1-cp310-cp310-macosx_10_12_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

oxbow-0.3.1-cp39-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

oxbow-0.3.1-cp39-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86

oxbow-0.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

oxbow-0.3.1-cp38-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

oxbow-0.3.1-cp38-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86

oxbow-0.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

oxbow-0.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

oxbow-0.3.1-cp37-none-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.7 Windows x86-64

oxbow-0.3.1-cp37-none-win32.whl (1.1 MB view details)

Uploaded CPython 3.7 Windows x86

oxbow-0.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

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

oxbow-0.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

oxbow-0.3.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (2.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

File details

Details for the file oxbow-0.3.1.tar.gz.

File metadata

  • Download URL: oxbow-0.3.1.tar.gz
  • Upload date:
  • Size: 37.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1.tar.gz
Algorithm Hash digest
SHA256 78cefe5835bcfded7e60b7db64309e0868fa9f438cfcb51b6c7baa491a105296
MD5 60ecabe567676df535bf60d1e0522d7d
BLAKE2b-256 7fa5a647e53c7282f70141fd98a697d77b91e189963931a1101b8d78b33920b2

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 61649bc9895050da9052eb30132e690c5b54d24a3af5b0a6bd142948764add24
MD5 a73736a3eedc8ae5b5d6ea7b61baf793
BLAKE2b-256 5bbf8c4f149542255c9a2b08f3882b12f3fcf95e073e28b2a33e5a54857d03ce

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f5bfa02ea5e3c1f6bc2a8dffec6993f09ea7be21cfa05ee43978fba70e19e816
MD5 02af688ab548638efbe22d457d16d9b6
BLAKE2b-256 09bdda1fe4dff7703aa9a1c18a210427db1f6baf61bde1df8f124a4c3272da1d

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 1191a5ce47b014c73bcdee5a378162fea8e374b52cfd2f4b80a6798f521c24cb
MD5 e0e676869eedef536b365b908d7bd333
BLAKE2b-256 20cf149989f08b2414ac5fb19dc4499caa0ae6a99fafb0a28a5e39fcab17f2a3

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dbf3c5cafc8f52e6a9d0ab55af6e5ef0ae824c4f346a7800616dd44fc90729ae
MD5 29e1bad7da99e4dfb3a6016893a36184
BLAKE2b-256 cb013c6caf66f7f2591c615d4143d558ac0de2295b866a5040f123c1534ff3d1

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 abd212d1f86d83120dba39ca792798d0950e689d552c206bae2838d493c825a2
MD5 f8547e400728f55ba78bf56c0ea198db
BLAKE2b-256 8f290b1a2f023f92d7d74fdcaf5d6ad588a4e1de70127ec467273c206bd7d7e0

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 a46809fab872a44d597731e0dc2eed8e4b866e7ac9bec8fc84a6ba11b2867075
MD5 97d34e847c28d944980967dfcb2b039a
BLAKE2b-256 081a3ea131d026eb854d7e5b06f3d9dcabdac6b06be3c9b15be62958bf22e338

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3050d3ced4c9c55993be7da14e7d97d883e94fbbaba22fec87b4a2f23097a244
MD5 ed97568dc8865fb76b4f6e65f6cda697
BLAKE2b-256 39988cf684128856566af634529a55a17d12c0baa2b29b6aa4f7c5dcf82f6fd1

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 077b51e81dc41a9c4987ab83190eb6b1f3987b105eec47a9fc1f2eb560d523ba
MD5 b4ed91d8a579cd15afcc252aed81ba71
BLAKE2b-256 2eebd7525d90c481313468ee37f74064d4e848f503074fe30a5936be045e1608

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 432ecd804b58c6b839f10090821a5210bbe2cde5ecedaa188a9bdb259f658812
MD5 f26989664f94dfe0646b5c3d74bcc190
BLAKE2b-256 3154bd8b27b91b124f21e8ccfdeb1e01dc1a2659f9cb0c76df14e07e68742a41

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3d4ea62ff81e2b215b6ec193934ecafd5710f7e3b065e04b433177db1bc9e0fc
MD5 fdb99d986a864cabf04a01ecb16deb4a
BLAKE2b-256 5fadcfda286446b59d05d80a86ea084a153a4be7003e8049ef4daed10c54bb05

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ae3f3fdca0144388059b1a325110301a677ce4ad767165b86e147c4c21cbec4f
MD5 da3198a51dfa3c1f6b12e58bca470c8f
BLAKE2b-256 2a20c3578c4a4293a64779fdc1361e7de4a66c990f83d40a43f3d7ffc189629e

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 38f67730f8944b2d48169e7b8a73e2dced902eba5a1a29d372fc97f10b2cc69c
MD5 7102a0812ae7b82b3f500fa8efc66118
BLAKE2b-256 a17638213afd0ad80a247544172dd26557fa3bac46074351c927bc40543679e2

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a965966a0ab837c1fd6137ec9541226e68937a142f0cc3473f127814f2c86d8f
MD5 08c63605af37020338624595b848c61f
BLAKE2b-256 fb15347250e1e93976d5b8053c5658392d35b39f6bf4bb0902c5daaaa974045f

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 35d6e59feeddc9173892c6107d53513287bfcaf2fa10b01dbd3aba17a32bb849
MD5 028e9ffe0e2edd8320beccbc7477228a
BLAKE2b-256 9ccb2ce5def3316f1ebee5f9699289ce4bd1983ca07ff124b2e649471cb97f8d

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp312-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp312-none-win32.whl
Algorithm Hash digest
SHA256 dfd3e8ef0d5d5b4f5d08037d43f3146a77363046c3ba1e25d5f7444965c65220
MD5 4304de8b5bbefd1785bae35c824353c9
BLAKE2b-256 b050819fca6b5dc2c8bcfaa13ba1c1b53461a77740fada5d96da17eda1b7ef3f

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 26b833f2a6f26c413283ce8af0e37fd6ac406bc63c200e9421b63e03291b52ec
MD5 b92860ab74028b163096b5d79eeb5997
BLAKE2b-256 1dfa7d60913fc711525d7b91a4448f781cedd46b66526a68a004087e504d6ad0

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 009c950a57f6c81ea000a1c20370c183907593e93c795e832e47a26995a7588e
MD5 d06c3d46c0df1ef9e5d106094ade5eab
BLAKE2b-256 dca885ab29869fb932269594728d21d0307b5eeda352b9d26348dc8fbe2dac66

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 2ace7d4a527ce8d91acf128f3dd4002f078639ac07d76fbeb14ef63517626cfa
MD5 572927d955d4d11b8adef7f090f045d6
BLAKE2b-256 8b6c8c69ef867acb6c730ca4d7ee1ab3400c10e0b652a0a7434a3ca2e4c4f7fe

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f3a951bc0c83bfe3c4e75ccfad6b6ad1062e92b93eb703d9e1f178dbe01ce7db
MD5 3fad48177735410801a8516acd2385a4
BLAKE2b-256 fd5d7b617f442af3f9cf2421ac659e3acbd056e7cd94976f0d48547606027291

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 afec3438fff96e4bfb588560bba97795968481d4cdf11e36524b721506b3b393
MD5 6a3096ba1b5f3fa15b7075563dc6a923
BLAKE2b-256 2ea355707f5b273302bb5e6589c02847b7b366b810b47d5157f20a003eddd3c6

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 5b1faa6167dbf9cd842ca4db6edc723287ac9b5468ac81fdfa96e435c3741275
MD5 1992a76f02a3f209b99437ffc2a86349
BLAKE2b-256 b756019960f9321421625b70c2ed605194b083af6c04638fd7fbd7bf5217abfd

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp311-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp311-none-win32.whl
Algorithm Hash digest
SHA256 3ea25baec34b1bd23cd336faf070bf9ca84b9acfe960b6dfc6ee7e43cd1e30c8
MD5 e61119228f46ec632f4514d5196cb598
BLAKE2b-256 b8ceb16562cd7bb2116da02d3fb7f44223a0254a7731993708fa4e34d516718d

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f4b60da81f8b242fc63b333c68412c06ba9a9e37bcd96e1eaf5cf1308fe1886
MD5 0f4fe15796f48fd58f2baa7a0adde161
BLAKE2b-256 6121be09c9ce0e99e9dc47fec03eb9b2c1e74952e51a056a844827b47bd056c2

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5aa8359effdb1950c70ba2f384f41275e1212e128fef3e78e1db5c3f073e4e14
MD5 d51753caea690a79a57a96abd5172a0a
BLAKE2b-256 60cde3c547af0964d5c2813dd75174c3c33af4894fe825cdc483b3fb464e3895

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7b685722b2017d818dc8e9c2cfbc67c5c4388eb09c90f0b4762e48c8fe19696e
MD5 302f6269d6038260924d4aabf123edf5
BLAKE2b-256 70ee05a5e5afbaed28fe86a9c5100c9219ea9e2cf471866b18f047f7dff5ef55

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8219add67dfb72da9c9e2edd42cfffffd45924979f06d8b30cee41ffab77a31c
MD5 e179a8ea627445431a8ee1317a50a89a
BLAKE2b-256 e1133e2d00d8fdc9bf797b971fa9434dc8c5d258235ef1eea1a216a4ece747e9

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 2a057cd1d6cde3f41afbaf8714140b7f83facd90e8c98eeb64f8116dc43d8d2d
MD5 5c77d5da7ed092bbfccfe42052e0e948
BLAKE2b-256 de2d90e68cf6ec70985c6b97c4a5a40ad07f91880afc1a872f93fd6ba5a04f62

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 3de13ac7da68768ec999ee2c873aca4fb491ff5441d448adaa2edc6f2f38cc31
MD5 9ef7d990d3f6f6671548ee974b764cbf
BLAKE2b-256 a3bba5b1744c677fa85c155406ee988ada74b3a2a29a01b030f8029d1681b3b1

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp310-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp310-none-win32.whl
Algorithm Hash digest
SHA256 b029cd4ebe6e2acb3a03393acb8aec6a2581f55dc71f98367374a1ea1396bc20
MD5 138743bdb49530fc013d94eb9ba813c2
BLAKE2b-256 33c22aa682eb9fbbca8648ac5b0dad0f805859ef5238203e84d48dc1e7c34d7c

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0c8c70f096c6d5bf767de13ee2325d54220dfa2d0c05876a6619b6f04b7ccb34
MD5 07fac14b0de645f4845c95b0ad0f4edb
BLAKE2b-256 6bde96ebc07e904333ab3497e3da99c8285df4456e19bd89abcaddd35e646ab2

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 06ee261022a6d1abc673e9e9dd7da10f2c95c4075dd15056206e4d947f61d899
MD5 39e54d79286691032c56e569227cfaa2
BLAKE2b-256 99aa1540ed54b249da998c39b6c4d4c376ded01c7e55a71638d10e04ed65728f

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 85d7a512b59a60ef5ded11c2a9e9d427c17d8c9be207bf3d85e7a9055a677d00
MD5 81098d1e36a4a64ac942b6976d82ff3b
BLAKE2b-256 5ee8879a6893aaac908f7c2f076f4e86cf19ad41781d2bb12893f7290852087e

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b6fbf8fbf75bc95e68a1e0a36dc377c656bf642451452bdde807ea441f67583e
MD5 ac9340481b815952109e686834dadecf
BLAKE2b-256 ae11e76fcc9be4257b76a253130f7457a1b0152b0046d67c39361c7155c43488

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e42b6d6692c8f397791941b7c7f1281b3e7a9bb9da79dc0b3168dde7255f0c84
MD5 6c24e7320db87c7425ca37099083a6bc
BLAKE2b-256 35e77b1a6ed79a27c68947c22c9066afa7c04e385223a9ee35e5b4238f24ae04

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp39-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 5157bc1386b5237829640ce4e76e3222a62ff96a9a3b75510bcba18769ccab30
MD5 065daa9fbe2f71d97bc331ff6e3af5f6
BLAKE2b-256 3015cc193598d36fbdd4042f026dd37fdadd188b8ccd380e3188bf1d2795792e

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp39-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp39-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp39-none-win32.whl
Algorithm Hash digest
SHA256 90b07e9b28b5c5172a041c07293ed6b1ccd6cea7865a577e67dec5385ba97867
MD5 bc924a1a893de7c02d54a04873cc281b
BLAKE2b-256 ad3ca2209c50c9463535de20362885929f60493aac3224dcc3c4095dd130683e

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5a14d6381d029f9f9390e59a88a15adb790c03bcaa73946550c97f7be2bf7454
MD5 efbbe752d0540b6ee5809879d80a8948
BLAKE2b-256 2b206937af3a57d3d9f20f4fbead7a1283eecb64714f1f90c5a4f831e5c1247d

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8f6e43cc0bc38b51e496aa26930f6346c3a39aa07759390869cb5f35e6c804d9
MD5 e896e6dc5c85efb1ff400af29c60803e
BLAKE2b-256 5c6662b197f793b53cd7852dfbfe8e1c4f0251a7aa99d5d468e8fc9b1c5e6a18

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 919c679ad0c01e12995c21934f51b93a01c503d821d77b07c21ed7b815288322
MD5 e42f38c5652a65edab7f9dd837a75504
BLAKE2b-256 9e02ab4fc3bf19dc4d80675e8aa9b07447c51f7cfc830682764546521659b9f8

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp38-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 ca5aae0e5a9109b4ce2050c73af51c0a92ec8428e98107b6de06d2cc34ef594a
MD5 28672ffc88d0aef6232503360fcf2a4d
BLAKE2b-256 3edc2b9322113f0e26802292c7dad26e5260f1913b9e4f8c13c73073c3be74cd

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp38-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp38-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp38-none-win32.whl
Algorithm Hash digest
SHA256 d73b636652b478e841da94bb279e149da9c7fef4bcf0d5c76213a3454b7e3fc4
MD5 f1973da9ee49dafd330fb5bbfbe5b5db
BLAKE2b-256 d7761976e3c4013a3a2e8e75f74bd1917ab6283c19330d74ed4921d354f431bc

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f70c97cb50aa6ce120ec5001bc49d917af28e91708226732ab1f0d361175e87d
MD5 d5f85113445543d5ca8a077f1c6323ca
BLAKE2b-256 35f61b6bec98cce04217630d5502c89d347532555ca248cdf464d6d442921273

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 88da8b481858cae2de77d06c727014c3820c1c5933a21ba542e6448c9a8f2181
MD5 18ed8f7fdc424f8a30abc2e697d701ce
BLAKE2b-256 a7241e3453df313a98c8d67f07410b18d5aab9616abab4cb50217d70fbcb8daa

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 cfe52d9dbb9e26fe7e35f5279d2fdc93f665c2d43aaeade3d6a6447976237efa
MD5 97df1f229d79cf83626ad12999fbf02c
BLAKE2b-256 3311c5f11f035aee18725327e0d7cfe89022fb167a39911ec5c8cbc448eba6d5

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp37-none-win_amd64.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 eb6ae9c5e168a2e67149cb2fc19bc34ba37a3547a0f8d4c390a1758f7caf6264
MD5 9be6be05ca4320d5a9601ec7d9e78f54
BLAKE2b-256 e1ec350529ad245ecd09448ea5bef0f411537aa0e319611264d8dc8aab4e9fee

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp37-none-win32.whl.

File metadata

  • Download URL: oxbow-0.3.1-cp37-none-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for oxbow-0.3.1-cp37-none-win32.whl
Algorithm Hash digest
SHA256 c80372cc2b291d5a1e2da272ecb94776c282739a9c6cfca37bd79ac0ec89a355
MD5 5ef107e4eb0504c8d7f08f0c3f3e4cd3
BLAKE2b-256 bc9fa4cf754e09b92b7b08b2616dc4de2a96ef598929e9d8cabcf9941ba4688a

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f056566297619f28a1972881957f3edbb7e633952ba6b9968de6435fb50edbf4
MD5 dc3c82864cbe885b035016d142f56ebe
BLAKE2b-256 88dc052c958c1dea5d3fc20a83adc96b3ffbeb34517f258a2cbbfa0ab127d343

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d221113d396e5d07a1eaa39254fd9f284ffb280a360849d16a368ed4f58fc326
MD5 a82c30a80f9e62bd57708b53d275c508
BLAKE2b-256 ce715bcd74cb9424941b76fa3fbe2bb33a1bbf6e6d7fe79abfddb57b666eba0a

See more details on using hashes here.

File details

Details for the file oxbow-0.3.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for oxbow-0.3.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0d8314cfa131b2c0c6295bcfe4d16bc8bec845c091629a33ca0505730548b73e
MD5 ec8a2976902f7e99de9910951b1a8cf9
BLAKE2b-256 0ee97634fb32e28f87cec849b1a05dae7d85eaa9ea64ee7082185bd3aa55dec5

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