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-3.0.0.tar.gz (4.7 MB view details)

Uploaded Source

Built Distributions

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

nanite-3.0.0-cp39-cp39-win_amd64.whl (130.9 kB view details)

Uploaded CPython 3.9Windows x86-64

nanite-3.0.0-cp39-cp39-macosx_10_14_x86_64.whl (129.2 kB view details)

Uploaded CPython 3.9macOS 10.14+ x86-64

nanite-3.0.0-cp38-cp38-win_amd64.whl (131.2 kB view details)

Uploaded CPython 3.8Windows x86-64

nanite-3.0.0-cp38-cp38-macosx_10_14_x86_64.whl (129.4 kB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

nanite-3.0.0-cp37-cp37m-win_amd64.whl (130.8 kB view details)

Uploaded CPython 3.7mWindows x86-64

nanite-3.0.0-cp37-cp37m-macosx_10_14_x86_64.whl (129.2 kB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

File details

Details for the file nanite-3.0.0.tar.gz.

File metadata

  • Download URL: nanite-3.0.0.tar.gz
  • Upload date:
  • Size: 4.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.11

File hashes

Hashes for nanite-3.0.0.tar.gz
Algorithm Hash digest
SHA256 ee0ce0d192b33903ca59acfc78de49889ccd0de4d2f6321a7217d69965edf0b3
MD5 29cc5295c5285e7c27ccc37f020992a6
BLAKE2b-256 627e96cfbe1fd8286f4a7369d064a7a1a88822dbbc6fe2d6bdb168cbeb660f36

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 130.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for nanite-3.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4481d218f5832c6a0295a7cf887878f9616f3e36919087c35b496bf2604cb75b
MD5 8efc78a9cb30e49e250758f16e156579
BLAKE2b-256 8af45dded37330cc016cb07b5cfd4f75e752b225cd298268343ff157f206cc94

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 129.2 kB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for nanite-3.0.0-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 6c178d10c7d9063245008a11f3b8855069efa657d9586174c8bc5aaa6930c4d4
MD5 e03a2f56da600f0ab5e20506af59dfdb
BLAKE2b-256 b304078b3e7bd5cdd1128210b1c11de86cb55d4dbc1969c5ecefc3fbcfcefd48

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 131.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10

File hashes

Hashes for nanite-3.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 777301d7110e833c4083141f48e9f99682f224e1df90152b806ce3eaa67273ff
MD5 d7536d68e453878fa61d3a248549ca81
BLAKE2b-256 558274649d6b81828b004326449b5e77204e58fd533ee9deccc7d5e953819277

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 129.4 kB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for nanite-3.0.0-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 d1ed362ac9081191bd9c6f48b01610a0b979c3f31985038560269cdc34784905
MD5 18d90eada6d4906e994fba8f2ebbdaf0
BLAKE2b-256 467793edccafb6f58e5dfacc8e5621f6523e20c5e3f2d64b6ae752b3d2c50bcd

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 130.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.9

File hashes

Hashes for nanite-3.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 2429d3c391de1ceb77d479dbb285e6216fac0e9e74ba95fd871457940aa71a93
MD5 d265a66df4732b0e13cb31901bc4b66d
BLAKE2b-256 2aedd5ec5ed4f916f4405e8cf75d5b50981ac4531c605cc5a0e12c0f179525e4

See more details on using hashes here.

File details

Details for the file nanite-3.0.0-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: nanite-3.0.0-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 129.2 kB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.7.11

File hashes

Hashes for nanite-3.0.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b6a639028389750750b93365cb92cf51ad308377a413491548ea0965343788fc
MD5 6b93b3919816a26962c8d83394b54bf1
BLAKE2b-256 18d71b533b2f9a690e98d6316d90e9a2b35b6ade3196e490b0f48f009805015c

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