Skip to main content

FEBID process simulator

Project description

Direct-write nano- and microscale chemical vapor deposition method using a beam of accelerated electrons.

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

febid-0.11.0.tar.gz (888.3 kB view details)

Uploaded Source

Built Distributions

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

febid-0.11.0-cp311-cp311-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.11Windows x86-64

febid-0.11.0-cp311-cp311-win32.whl (1.2 MB view details)

Uploaded CPython 3.11Windows x86

febid-0.11.0-cp311-cp311-musllinux_1_2_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

febid-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

febid-0.11.0-cp311-cp311-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

febid-0.11.0-cp311-cp311-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

febid-0.11.0-cp310-cp310-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.10Windows x86-64

febid-0.11.0-cp310-cp310-win32.whl (1.2 MB view details)

Uploaded CPython 3.10Windows x86

febid-0.11.0-cp310-cp310-musllinux_1_2_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

febid-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

febid-0.11.0-cp310-cp310-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

febid-0.11.0-cp310-cp310-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

febid-0.11.0-cp39-cp39-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.9Windows x86-64

febid-0.11.0-cp39-cp39-win32.whl (1.2 MB view details)

Uploaded CPython 3.9Windows x86

febid-0.11.0-cp39-cp39-musllinux_1_2_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

febid-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

febid-0.11.0-cp39-cp39-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

febid-0.11.0-cp39-cp39-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file febid-0.11.0.tar.gz.

File metadata

  • Download URL: febid-0.11.0.tar.gz
  • Upload date:
  • Size: 888.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0.tar.gz
Algorithm Hash digest
SHA256 831861ce8413ed66b69bc582dc5cf52392547b7252a965abf8af65fb377a1b1d
MD5 1a423227e38c5f0a515ee457c6fbf852
BLAKE2b-256 75636c9a34745400d80fac9c51288de36763ebec1a5113cd7ac69ff8f9dfd447

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: febid-0.11.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f943516c46d622bb4705694a4daab8d88c35a7584eed2dd8f8b5cc3d7794beb3
MD5 be9d2eae9d8b43a7815ef1b9574ac4e8
BLAKE2b-256 998f2622fc1534e14147dc54b093ac5bfd583023ee8d3cb65f42a32741c10d4e

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: febid-0.11.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 996496321ae2e6a092d0b38e4ed82a017c0f9a301ce6744e28e987c55881ce1c
MD5 722976bb077c03eb0be117a73cb431b5
BLAKE2b-256 e329227ad30222eef9db00c277665c0a36a205af85725e4bc020e7e533210467

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3b3ef52b10a3c51d916abe2bf13d10d1c3496afbd85ab20466ef21382a1db43d
MD5 8672090fe69ddb790e6431991f460be1
BLAKE2b-256 d15864ce6aa7c4a806f29e0e3277397e5072ed7e64b8b931a90140133d276801

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3c56478d254751e180af42d345c9753562b4643e020ece2c2d0fbc471b406a09
MD5 d73e38a9a467cceb910009d09e9a4448
BLAKE2b-256 526e44990b1c83bb875c71cbbde22651c26de744578fdac941e3bc310ada7f00

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c5979925dd64b04d94f6530a67a586b1d27d2785cbdeef24ad51af05f7563c07
MD5 7485d81dc6c39ea86d8c2a4a2fcac103
BLAKE2b-256 8892f3d77e181a1230720cb7e02f761517d3471610580672babfc61d6e85b483

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 82eef0be2afc5bad5dd29a56671d2f05d12074eba6fcf8346998a04cf7df9528
MD5 cb18d2171917d02bde66141faed43dfb
BLAKE2b-256 c5e51917ff20dc73488236778a7790bee9257dfaa1e118bb1ee782f0a01cab88

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: febid-0.11.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 67ca796e2d6d8b76141d0e27378f750ab24157831fcf29082e95fbdac298d639
MD5 c60fca0efe7c7ef169516eb96fe2a443
BLAKE2b-256 d6a36f4a35caadf1ebfccc2f8834691d7612b9bf46f311f40087eb1c34622884

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: febid-0.11.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 9e1a8e1f68e18a4ae694f9a27083b6e591f687968befe5ad33779e9e37c49734
MD5 1d9818d23a9751623990aa4225c9e5e7
BLAKE2b-256 c52f8a195b85121717fe8a4cdc5b9ce8cac72a168ac24879545938737fa93b47

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3de00220d4ba581c732f697c52cc9be80c5e30ec26b4db2d67ff19e7bde45317
MD5 37ce1b9ea329eca0aa8091661bb43f67
BLAKE2b-256 2f22660c09d766d3741045be2eda203e1741346a8d9a06a962ba5d3408b6fda9

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c1b6188b2a74cd56629b83cfb51bf84475b84178e669da543e491915091cdf7f
MD5 6b1ae4df2816e2dc3fb7811da953e407
BLAKE2b-256 5239ee77245d3f891d9003bdad52ad99b497736efd6f248f7c9b82948777e16f

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fc8ad82ce7edda723076c16363a22c1e1fa0f0d2753e9b25807a241dfc40b303
MD5 ccbcafeeee4473c5786c388708abef84
BLAKE2b-256 b8f082dc38faa2e1cfc6ff041940aecf40e2d1094a0d14d6f43bf29b3d66af3f

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8f5c82e10f29d4b7c0d79b041269b825c2592dcb9661869753f618eff265e088
MD5 8aa6b8df85f0d9b8e0289b718b3ca6ba
BLAKE2b-256 d8dc169ff1138e996fdf3bfef9eb0ba58480eacfdbdb4083af1ec11a060a7e97

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: febid-0.11.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 49b912645c9cadf0a55ac21593d8612ff60347d4b82f05107dec70a1d979c917
MD5 d9d17e9d3e85f5efa705615d1c99ecac
BLAKE2b-256 fc94d81c03de812cceae030da73f26738b7277166afd7625fb0acc0a73393490

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: febid-0.11.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for febid-0.11.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3bf8f9af9d9602ba0b479cc2df5b098a6a5589e7d45d5cc76b8e1e30341fd1ee
MD5 ce20832a9e76400463b36b8e49cdcf84
BLAKE2b-256 a3a8bc1df950fcb611deabb183843c66dae2f3820b4084d8be822316816c12cf

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 674fca65422032a17c3564949ecf190d9fa0a7b0d54007c5dd41d419cc07fc67
MD5 af24a09c515f2fbfaeb45983f7af1fd1
BLAKE2b-256 a96bec7de2f2324a4802e4ce991b69a9a0a7c94076931902b675719edc1c9a77

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ae38758569965235b58ac96b82da595990de70cce53d699343df4c266dc1326
MD5 4621890d8dcf49515e733a960b03c648
BLAKE2b-256 53f1d88a048f2dd6158c9ddc97c29a55b2585a2fbfe60055f7dd503e4b5fdacf

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 acd66a75e46d6471d291ff0cc32954181510b10b7ac094c208ac8f6b6c4bdfeb
MD5 a0f9f8f40b405d400d1af4b5ac1dada9
BLAKE2b-256 cf4a7b950d369592951246e3f5d0b482db8df481ef7799156b06de16c8f7c33b

See more details on using hashes here.

File details

Details for the file febid-0.11.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for febid-0.11.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 60859defc384f3b8df951170cf26ed715ded76e922301f8d28bdc2720765ecb2
MD5 5aa67b8be8f26c3716be8b68e86835f1
BLAKE2b-256 052c075bf8b656a973ad4a4e5710a6adb5dcddc78ac23ecc23aff504d8a451e3

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