Library for processing nucleic acid secondary structure

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Arty40m from gravatar.com Arty40m

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3), Other/Proprietary License (LGPLv3)
  • Author: Artem Mukanov
  • Requires: Python <4.0, >=3.8
Classifiers
Report project as malware

Project description

Nucleic Acid Structure kit

Installation

  • Stable version
pip install naskit
  • Dev version with latest features
pip install git+https://github.com/XELARI-CORP/naskit@dev

Usage

See tutorial

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Arty40m from gravatar.com Arty40m

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3), Other/Proprietary License (LGPLv3)
  • Author: Artem Mukanov
  • Requires: Python <4.0, >=3.8
Classifiers

Release history Release notifications | RSS feed

0.10.0

This version

0.9.0

0.8.0

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

If you're not sure about the file name format, learn more about wheel file names.

naskit-0.9.0-cp312-cp312-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.12Windows x86-64

naskit-0.9.0-cp312-cp312-manylinux_2_31_x86_64.whl (67.5 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.31+ x86-64

naskit-0.9.0-cp312-cp312-macosx_14_0_arm64.whl (58.1 kB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

naskit-0.9.0-cp311-cp311-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.11Windows x86-64

naskit-0.9.0-cp311-cp311-manylinux_2_31_x86_64.whl (67.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.31+ x86-64

naskit-0.9.0-cp311-cp311-macosx_14_0_arm64.whl (58.2 kB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

naskit-0.9.0-cp310-cp310-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.10Windows x86-64

naskit-0.9.0-cp310-cp310-manylinux_2_31_x86_64.whl (66.9 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.31+ x86-64

naskit-0.9.0-cp310-cp310-macosx_14_0_arm64.whl (58.2 kB view details)

Uploaded CPython 3.10macOS 14.0+ ARM64

naskit-0.9.0-cp39-cp39-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.9Windows x86-64

naskit-0.9.0-cp39-cp39-manylinux_2_31_x86_64.whl (66.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.31+ x86-64

naskit-0.9.0-cp39-cp39-macosx_14_0_arm64.whl (58.1 kB view details)

Uploaded CPython 3.9macOS 14.0+ ARM64

naskit-0.9.0-cp38-cp38-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.8Windows x86-64

naskit-0.9.0-cp38-cp38-manylinux_2_31_x86_64.whl (67.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.31+ x86-64

naskit-0.9.0-cp38-cp38-macosx_14_0_arm64.whl (58.3 kB view details)

Uploaded CPython 3.8macOS 14.0+ ARM64

File details

Details for the file naskit-0.9.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: naskit-0.9.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 59.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for naskit-0.9.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 9512fd7464b2537487ab48b4f9cb7d026ff5f4cfd14f8f90b7a7fc994e4ee544
MD5 28830518391636eff8372139cd49fe8c
BLAKE2b-256 277bf68e7b1f963eb0973c3a20944a274b0a1ff94e87d61373d1963aa2f6be0a

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp312-cp312-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp312-cp312-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 cf45364d25f97e6d526f119a7125d4488da715c85e9420e29880bf063da6d5de
MD5 4cd67892138ab1ce9b51562d2a20ba94
BLAKE2b-256 1e2ebcbfdcd7bac010ab119c28f800467925de670acfd0e17ac22dff491bb2a4

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 f7b7205d5c2b4b71b1f6d0e6eb9acbcc9065cf8e997bb064135b163c93140be3
MD5 a9c43b6b2ae04c56240730e64a02d98e
BLAKE2b-256 56edbfd075d26a0b15a327fa785efe59d8c34dd18a154660e8331c417b79aae9

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: naskit-0.9.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 59.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for naskit-0.9.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9d0ff01f12032b5f6b41609afe6721870d322f50b5f1c5b790cf3276de60a993
MD5 be289e8c2429394c7b94b163c484d39b
BLAKE2b-256 9568ff3436c2d70ea5b3d9b0f320be6f1c5a28a3127fb4e401645208ed17d2fc

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp311-cp311-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp311-cp311-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 d5f787400231f1638bba81092b18564a1e5516930777000601c2c05cf9d970c9
MD5 a6c3b6f1d1b6de0e3ef6d2c4a0c33153
BLAKE2b-256 fcde948aefe5279b76bdc0c4c43b4d5a4c84987575a5401d53e89fe345c77ac3

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 9a749c99ae5cb0760579deed2156cc04d44befa95636d87d995cb78bd506b2e9
MD5 8d2e6ce9cb76d1070427a9540444c401
BLAKE2b-256 35c40ec4751039b3465ba0a741ce420294adee30dc708c1ca25f0fc3ea6083f5

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: naskit-0.9.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 59.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for naskit-0.9.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 94a5af132023567f2a616e1f3a890ed6934f4254190ad07e16a17e0f0fbca242
MD5 60717ca03642ccb9798ffc235321f92f
BLAKE2b-256 e284f90bd7584168b68c7e38d8490f345b4e5ab0aa6196dd35ef037066cf5b1e

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp310-cp310-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp310-cp310-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 14c2f615ee8eeb04df59ce0ad8499d871fd5575144d92cebcca956610b443296
MD5 cb30b54dac64680089fca0f707dd611a
BLAKE2b-256 c2b57648cb558a2ace843ba24ba4a147aebbb6eb90136951550c48fce0834f06

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 ae0e8b6d67bbea709db81a60be793042c7dc9330eccfb5022cf0eeb34df47cc2
MD5 aef1a57dde476c907e9b65ef903b5631
BLAKE2b-256 c09c7951e783266fecde433f72fa893c90a27568c558e204e66df9d50ec254b6

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: naskit-0.9.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 59.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for naskit-0.9.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 54f94d0c08858caaf9084bf07ada11fca26e15d16929578dd87696bdf9bd2b1b
MD5 1a3f4963c6ef7ff18a54cb13761ba7ee
BLAKE2b-256 11027cbd140f477d1f3c056e9132e92e43dc49986188ca579bfe0c11a30303dc

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp39-cp39-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp39-cp39-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 3a149842dab69d885a5466cb471bd1ac070b004f297c8511504e907294e0a91d
MD5 bd4716357e2718a066dac6c4a93e5f6c
BLAKE2b-256 4d02c808352fed1e7f2acf53501a31feec4c3c66dabefb471ccb309eedbd2507

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp39-cp39-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp39-cp39-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 f67a71f1e733a0167630da25c6ed2e30ad7ba7acb2bf41a9ec24cdd0f46aa009
MD5 a4c651b3088ab33f3582ccf31d845fc7
BLAKE2b-256 b7fb3c56add0d35ddb41d892fad1f41ca10059f956658946ceef652fbefd62ed

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: naskit-0.9.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 59.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for naskit-0.9.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 39071757da95059bc7a1e23493f30b1f208b20d46002afd41b2868218a938ddd
MD5 a0808162d984e90a49d93d95b44c6185
BLAKE2b-256 1b64dafee0fbf0bd9dfb2135ffc762822c7170667cdde6061f3daa5908885528

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp38-cp38-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp38-cp38-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 16cdfbde6002b3946ea06db8a668ed8a033d7c83dc1e63624c2b9fb1841701a6
MD5 e288d09f1e737ff596fb0dd37f5b3ba9
BLAKE2b-256 2428c7f8244dd8fa1dcf2ba6a2d9ef7700c7dba50780f1d42ff5b221cbda72e7

See more details on using hashes here.

File details

Details for the file naskit-0.9.0-cp38-cp38-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for naskit-0.9.0-cp38-cp38-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 6c566dfed057ae7223d43da8afb26fb4b44ccdfdf1077d05bb0e9cc14f21073d
MD5 1abdcec6728940ea518f03c354293d19
BLAKE2b-256 38da745bab4ffeb6b0584414c193547110a2eac202e9778e93d940e21c90b7fe

See more details on using hashes here.

Supported by

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