Python toolkit for Urban Data processing

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Vojtěch Tomas
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

Metacity

Build Status Coverage Status Pypi version

Toolkit for Urban Data Preprocessing

Documentation

Please see out GitBook!

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Vojtěch Tomas
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

This version

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.2

0.4.1

0.4.0

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.10

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.0

0.0.55

0.0.54

0.0.53

0.0.52

0.0.51

0.0.50

0.0.49

0.0.48

0.0.47

0.0.46

0.0.45

0.0.44

0.0.43

0.0.42

0.0.41

0.0.40

0.0.39

0.0.38

0.0.37

0.0.36

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metacity-0.6.2.tar.gz (543.8 kB view details)

Uploaded Source

Built Distributions

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

metacity-0.6.2-cp310-cp310-win_amd64.whl (391.7 kB view details)

Uploaded CPython 3.10Windows x86-64

metacity-0.6.2-cp310-cp310-musllinux_1_1_x86_64.whl (999.7 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

metacity-0.6.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (481.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

metacity-0.6.2-cp310-cp310-macosx_10_9_universal2.whl (764.7 kB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

metacity-0.6.2-cp39-cp39-win_amd64.whl (391.8 kB view details)

Uploaded CPython 3.9Windows x86-64

metacity-0.6.2-cp39-cp39-musllinux_1_1_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

metacity-0.6.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (481.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

metacity-0.6.2-cp39-cp39-macosx_10_9_universal2.whl (764.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

metacity-0.6.2-cp38-cp38-win_amd64.whl (392.0 kB view details)

Uploaded CPython 3.8Windows x86-64

metacity-0.6.2-cp38-cp38-musllinux_1_1_x86_64.whl (999.9 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

metacity-0.6.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (481.2 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

metacity-0.6.2-cp38-cp38-macosx_10_9_universal2.whl (764.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file metacity-0.6.2.tar.gz.

File metadata

  • Download URL: metacity-0.6.2.tar.gz
  • Upload date:
  • Size: 543.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for metacity-0.6.2.tar.gz
Algorithm Hash digest
SHA256 9d2a7e55376c41eb722104c259cf31912eff89a3d25b1f331cd79bf6cf3a7c24
MD5 09e023dbd265be687bddb1e619bfcc53
BLAKE2b-256 48a6498df46362087b228a61cdb102509fe12e0f8985ce31ca53a0508cb548c8

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: metacity-0.6.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 391.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for metacity-0.6.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d250c9b8452845321b19beb6ea82921d2842ff7ef8ff4b57fe4b35f15c8152e0
MD5 e4548d26ad4370ca272c87a7bd9d435d
BLAKE2b-256 0730dbf4944e08a62e89d59a0eb40e3f3d5513c7e8de6eab893cd3527b30e9e6

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ef96a19e04774018f64cf687511413058d0b99cc77689d16ff3bfdba73c3d8a7
MD5 052def292ab70752bbacd705d7939f08
BLAKE2b-256 0e2d2851578cf06c1695674cdd8274eb4fca57c2b2c333a1d781f36c90dfcdc4

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5639cc982710a0e437589210f7e3a6d38e8b715569afdd6245abf9a19d73717c
MD5 2a81a7d9f30b2f24402e8804e43c0ad7
BLAKE2b-256 e238103034c82b421d4194b55d63191d5d5cc035054429b953ceb8273dd62e18

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 425a8a372021fa132276a83173aafff7e5d62c53b4080119cbcdd7b6b22daca1
MD5 fd14a1b6e364a0f7bc1e68fe7c41d2bc
BLAKE2b-256 9e1d182c1157a17e96c253161645b7ccf5c60cc3b7b1c2afb3e8991c91e8520d

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: metacity-0.6.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 391.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for metacity-0.6.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1ba06080a1da39ddb87d634c9dba732e3075ab9e693cd3506feb13d20980b894
MD5 668480fbba704de00f2d3117f88b1d96
BLAKE2b-256 f9444df37e73712f5e77bce153ec60dc60b26dd551c6b8cd55a1410f94cc3717

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ae73a5629995eff372057c15e599325d04959b7bb81ea9331dd1b7699fa06798
MD5 eaae1471698f59076e12541b26bb4dbc
BLAKE2b-256 061a3b11113d2d140858a5e8e506f8efc38d0c1de920be78ca49ce5f62891e7e

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 49f5f2bd568c982ec094806fcba8ada88bc15f93216cb4ff9a6ee67af457f217
MD5 e9a3ee1313f227c4dcdb884121fd1db3
BLAKE2b-256 dafe85fa6be5a0c97acac9b60b88c6778c64e8f5b866c70bd45fcc8fffe64108

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a0f1f74b9cc6a1c6e94004affe95c79a4c59dd9ba38f5459bd805ac4b1a44e9e
MD5 9e0f650054ad2ca534268d930c2dcf4d
BLAKE2b-256 54516cf15fee3675f339a5d114778fd7254617f6188728bc808b500101876ea7

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: metacity-0.6.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 392.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for metacity-0.6.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 76f49c00e5debd69bac0da9985a2d18d4dc870545411002168cfdeb7124d80a3
MD5 3279f98ea670c24a5abb46a7ecbc9338
BLAKE2b-256 9ebc7f11d3225c7c7c20c10bf083b5926200eb753edb96809d7e49b6308ac35a

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 96148856de32b383a5938de6f49b103f182d9512386a4258b4b9c8dd186fd0ac
MD5 b28365bc4f3c7ebca163acc31e6db3c7
BLAKE2b-256 f361a135742f0372ae1770879ff37b06489a82dd43362de3c71351ff033b57cd

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c378c1d1872738bdb070be0f6d387b3a870dbd9b90791131b14d186a57a22533
MD5 169b4a65ec56f8f84bf042ba5324f0be
BLAKE2b-256 cd3cc2a9d1dc4f278e97edf1e672c3e4708d2beb0121d1a7cf4f16cc9d04a155

See more details on using hashes here.

File details

Details for the file metacity-0.6.2-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for metacity-0.6.2-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 c0cf39e7c445d5bb812143b22745b200ac0ea359032f6d4fd353eb6d33d064a6
MD5 c61e4bb3bbfa5fc3e319f6f9efd6773d
BLAKE2b-256 470b2e97c7f8bad05bc62017b03aaeda54d61166a3479c5b5622273afa474a7f

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