Skip to main content

Loading, fitting, and rating AFM force-distance data

Project description

PyPI Version Build Status Coverage Status Docs Status

Loading, fitting, and rating AFM force-distance data.

Documentation

The documentation, including the code reference and examples, is available at nanite.readthedocs.io.

Installation

To install the latest release, simply run:

pip install nanite[CLI]

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

nanite-3.6.0.tar.gz (6.0 MB view details)

Uploaded Source

Built Distributions

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

nanite-3.6.0-cp311-cp311-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.11Windows x86-64

nanite-3.6.0-cp311-cp311-win32.whl (6.0 MB view details)

Uploaded CPython 3.11Windows x86

nanite-3.6.0-cp311-cp311-musllinux_1_1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

nanite-3.6.0-cp311-cp311-musllinux_1_1_i686.whl (6.2 MB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

nanite-3.6.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

nanite-3.6.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (6.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

nanite-3.6.0-cp311-cp311-macosx_10_9_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

nanite-3.6.0-cp310-cp310-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.10Windows x86-64

nanite-3.6.0-cp310-cp310-win32.whl (6.0 MB view details)

Uploaded CPython 3.10Windows x86

nanite-3.6.0-cp310-cp310-musllinux_1_1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

nanite-3.6.0-cp310-cp310-musllinux_1_1_i686.whl (6.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

nanite-3.6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

nanite-3.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (6.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

nanite-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

File details

Details for the file nanite-3.6.0.tar.gz.

File metadata

  • Download URL: nanite-3.6.0.tar.gz
  • Upload date:
  • Size: 6.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for nanite-3.6.0.tar.gz
Algorithm Hash digest
SHA256 3affaf9375e6b6a53415d6444dd9f5aa854338c8697efbf2b953e61579ddbc71
MD5 1cc9ea7f3a9eac4a10e81d68b970e9d3
BLAKE2b-256 1f8d027018e6aa7ce357b1cb75a5854d36755a80b17ddcfd3c1ccf0b68f20e75

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: nanite-3.6.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for nanite-3.6.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7891e6d207f62627088ba5cf7b7cd2cedbf4047cb8c880b32bf5998fd611477c
MD5 611441142ea0be6b73573ff2121295b8
BLAKE2b-256 f71742cec33784ea8bbea71301bcccb08d90ae756e67e47cf286a9d0467d19f3

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: nanite-3.6.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for nanite-3.6.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 25e2b70bd057832428de5ad9f1142bc25a63fc48fcade5d89e63521c64156398
MD5 da5051cdb6f3851db343d43be8a1af2a
BLAKE2b-256 fa93f912ae0fa05bf2568e7cbf8a52304dc4c5773e977c29cbaad293bd875693

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1ff51b7d68c6d31619b04c0e92871f7e1d96f6f211f967e77eed34c6fb58e929
MD5 a58bca33b40e9d6834c582497a1fd96f
BLAKE2b-256 758696b02a9e50f8772f5b11d57f295bb3e37a1d6bccb222773cd2aa6d8c85ff

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 bb1ecb37c6567d0a8b6fd3c064616ea303117a6ff44940afbeeac5d26fa157c0
MD5 644200258fa9b6fd3285dddd589c44a3
BLAKE2b-256 98dd599cddfd94602b4d44df8bee85ebe7462a06b65b87cb012d42cd75688f78

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 196ad5adcc3013371f6d097d223e8cd9a6cad43fa0cf70b8b842cfd638aef507
MD5 363e1ce9f41029c602aacb406c035898
BLAKE2b-256 d53d58b6dea5a2aea5eab990b32fb396a27bf44e0aa45806558911bee680512e

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a392317faf85614b0a5cc6d05be767ffe86d6c6556d2427d570e543f1477a03c
MD5 d05456f3cc7b177aa4296c2a724e5230
BLAKE2b-256 02f6af1b63a4381ef3eb6240021e52726eb2e8d71bad05867539fbc5ec666d95

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f73eb80babaab91ab003f6d1e5d1b7095c69f953802b18c47605a69e159d3a27
MD5 ebaf45609b9cf0ded6421d69691ea6f3
BLAKE2b-256 9475c5637810fcff914c4efc5e0df77cc644c27830800064cd27a1a3197729c0

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: nanite-3.6.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for nanite-3.6.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7690a46855cfa1aa5af4b8c7098255096df62a6cd2c52a83285066450b83c043
MD5 4097a264ae4414ac0620322170243b94
BLAKE2b-256 20f75471b86bd738810a7669cf553d92ab34eef4954a01105281af601a29051c

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: nanite-3.6.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for nanite-3.6.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 e163b8b9752a314a1218fbf901bfd6941a27efc270289ba313c5fd8fa56a493a
MD5 18fd8f43720f5ca32fcaa92781c425ae
BLAKE2b-256 33746de6297130eea33581fbe2554e8a1ffb2859454e93b043692b73facdcc21

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c591c18419d75e1a2b6c78f231afcc5b1849cb878651ee6d092e99a5a3bcb477
MD5 4bb6cb0d519944a0d4ad7614a847d4fd
BLAKE2b-256 fabe73251663d01cc9f88326f798e4d25133cd8ae8be12d87266c2d300addd01

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 4c1274ca8a7e9434579e63a275cd4267ec02ecf31550488a4396da11ab2c1186
MD5 e3438c687aaccb98d104dd88a971c9c7
BLAKE2b-256 b92daf0ca91ed789db0948d2e3c08de54d152e2d9f1e5448614e3d9b00a6b1f2

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c7377fa6b02228b8a3a27e68e93841bc264c69cd491607e0e82bed4b11ffa21
MD5 693c5b7d96fd34f1fa2c10bf59c31d99
BLAKE2b-256 657a3b7a0b1d524940ba4fd71214a5758dc71a5348a0bc916aa5f28f9b0658e5

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7eddfb383d243886be18f2ab05ac8a873d3d794a82099a3222dbeb324fafedb9
MD5 73eaa2c055e909eb4cd8979cedc8d9b3
BLAKE2b-256 0bf8b0ce64bdb3c4fa7a9654480e57bd3741ec417b0cc8cde800b3a152d38730

See more details on using hashes here.

File details

Details for the file nanite-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for nanite-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 474b783219ce1ae9f0b16b4b06f3653806be77fb31403d7fa57aed1796142eb5
MD5 4673b3e9a0583a958dd47aaaabbba633
BLAKE2b-256 8203e0aa9c8cc547fafb0890f6ae44b45320b650284441e121f096e917c335c3

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