Skip to main content

Cheetah is a template engine and code generation tool

Project description

Cheetah3 is a free and open source template engine and code generation tool.

It can be used standalone or combined with other tools and frameworks. Web development is its principle use, but Cheetah is very flexible and is also being used to generate C++ game code, Java, sql, form emails and even Python code.

It’s a fork of the original CheetahTemplate library.

Documentation

For a high-level introduction to Cheetah please refer to the User’s Guide at https://cheetahtemplate.org/users_guide/index.html

Credits

https://cheetahtemplate.org/authors.html

https://github.com/CheetahTemplate3/cheetah3/blob/master/LICENSE

Recent Changes

See https://cheetahtemplate.org/news.html for full details

Download files

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

Source Distribution

CT3-3.3.3.post1.tar.gz (6.0 MB view details)

Uploaded Source

Built Distributions

CT3-3.3.3.post1-py2-none-any.whl (177.4 kB view details)

Uploaded Python 2

CT3-3.3.3.post1-cp312-cp312-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

CT3-3.3.3.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (861.4 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.whl (860.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp312-cp312-macosx_10_9_x86_64.whl (857.8 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

CT3-3.3.3.post1-cp311-cp311-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

CT3-3.3.3.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (905.6 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl (904.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp311-cp311-macosx_10_9_x86_64.whl (901.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

CT3-3.3.3.post1-cp310-cp310-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

CT3-3.3.3.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (673.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl (673.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp310-cp310-macosx_10_9_x86_64.whl (670.3 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

CT3-3.3.3.post1-cp39-cp39-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

CT3-3.3.3.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (667.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (666.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp39-cp39-macosx_10_9_x86_64.whl (663.5 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

CT3-3.3.3.post1-cp38-cp38-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

CT3-3.3.3.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (667.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (667.0 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp38-cp38-macosx_10_9_x86_64.whl (664.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

CT3-3.3.3.post1-cp37-cp37m-win_amd64.whl (185.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

CT3-3.3.3.post1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (677.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (677.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp37-cp37m-macosx_10_9_x86_64.whl (659.2 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

CT3-3.3.3.post1-cp36-cp36m-win_amd64.whl (186.0 kB view details)

Uploaded CPython 3.6m Windows x86-64

CT3-3.3.3.post1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (678.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (678.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp36-cp36m-macosx_10_7_x86_64.whl (660.3 kB view details)

Uploaded CPython 3.6m macOS 10.7+ x86-64

CT3-3.3.3.post1-cp35-cp35m-win_amd64.whl (186.0 kB view details)

Uploaded CPython 3.5m Windows x86-64

CT3-3.3.3.post1-cp35-cp35m-manylinux1_x86_64.whl (687.4 kB view details)

Uploaded CPython 3.5m

CT3-3.3.3.post1-cp35-cp35m-macosx_10_9_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (668.6 kB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.17+ ARM64

CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl (668.3 kB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.5+ x86-64

CT3-3.3.3.post1-cp27-cp27m-macosx_10_6_x86_64.whl (652.5 kB view details)

Uploaded CPython 2.7m macOS 10.6+ x86-64

File details

Details for the file CT3-3.3.3.post1.tar.gz.

File metadata

  • Download URL: CT3-3.3.3.post1.tar.gz
  • Upload date:
  • Size: 6.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for CT3-3.3.3.post1.tar.gz
Algorithm Hash digest
SHA256 a58f0a46272a163d26f910f8fe188b414c185e23b5a7abd53ddb19ace3bd9d14
MD5 6f43392213c8d2bcb609f18b5a9ac5df
BLAKE2b-256 e27548508b1fb4a4a6849d113a727987507badbb768244e326a4270347ca320a

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-py2-none-any.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-py2-none-any.whl
  • Upload date:
  • Size: 177.4 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.3 requests/2.27.1 setuptools/44.1.1 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/2.7.15

File hashes

Hashes for CT3-3.3.3.post1-py2-none-any.whl
Algorithm Hash digest
SHA256 2f82832e9c0d4c957e6b1f7e3576fa4d314a46fdd8e6274395bedd6d09889846
MD5 1e898775d50a1ec545b9fdb7fca307a4
BLAKE2b-256 eb6bfa5023daa1cb06f82be8130180aac244491ebff6d5e982ad2ee937019f86

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0fe0143ff383afbb01bfd75df6f37f7992dbf132986064903e0f94a8f63a9755
MD5 167f7d0ec2dbaf3e0bd242ec317f4f43
BLAKE2b-256 363d6f256ea95008e220fd53b9159a8d736ec9828e4f3e62dd9bf0c0537b7456

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e1d1a2546a92d28295c16cd0c8b7f06e5ef5f095baf9d5eb9c6737e7c2b18c55
MD5 4d64792463eb9c77a50f6479dac5a7cc
BLAKE2b-256 686b575973b50c47b39db8daa13a87b09c7acc300f8199f005301cfb79150ebf

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 84d0801a47b367b769fc2898a8518266d91693d522d6ec29a7d5695270ef35be
MD5 d8732b36cb5b400a1ba1aa86d25c952c
BLAKE2b-256 a401a99cb19a7d3efefad86e97fa3fb6f9d04b1fa176ff374812cc3c1af61d72

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ef8b1de439c067a6e10317cc3e07de9508d7df3e9cd995716e8ac8078b8cbb16
MD5 ad0ff102b2102c233583a2962122f709
BLAKE2b-256 014203703882766bbb6330b95c756aca2be5693a8a065cbd59c4bd388cdf7741

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 87f4060c601d49d99fc34a29995e366c8d7faf4be41ce1cfc543e79b6194ae6d
MD5 71751265dae7ee7a60f6501d61a00c2d
BLAKE2b-256 c0841254d8c7f79547406168c2c27a18403e321f41aa4b89693f344a72b602fb

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7c6cf0a203ac4726d4e76dcce9352eecc4e740663de2ce2084b614ade46e44bd
MD5 a656fd12672f1cf03c4f8e2083bb37aa
BLAKE2b-256 86b9131c3906f76aacadd944fb73574257b9d305c3b1dd70ef231b5153072ed7

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6ee0620f855fbdbf4f6abf6a0348b7aa1b3cbc2f1ffb03b000081c0caa55a790
MD5 39507f4b140ca1f8130a1533afb3ee6f
BLAKE2b-256 a563ebbbc7266f664c1d026cd70e95859cfd824887d117d5331f86004c34ab87

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed5023789994d48852f151221d4de1809cca3dcd7e958a3ab0635b8320cb06fb
MD5 b4418eabf3796bcf05bbba5d6ea2b6ad
BLAKE2b-256 fa62b4b568f9b44bd87673a1814ddb2cd29f5c39cb518d9970b9ec00488cc12b

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e6dde3687ac61f7907a1a05ad5a3c35163f6e2d3c00e5a5b23b617347e494b06
MD5 2b5531b8e29dd4601232f5141547034a
BLAKE2b-256 7ea959e221148cfb68e4d291454c5a0e58e8a1e733441a9617bf939f9944fd06

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6fbb73977f7ba044afc70332188113b8e5ddf41046dacbf4c6bc95eba1bbb434
MD5 9d726206b25c6fccb93cc36d30862157
BLAKE2b-256 c9c9e222bbf852df08b8107d4751d03fc8db506935d247545fc6d8435472d890

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ced98f64c5f03921557054a9b226298e310f23d848d587061602f5e3e9d83a65
MD5 022ff9bac6c390b33c5db3157752a96e
BLAKE2b-256 c589e8c74caa9b85cb5c10d796101e2663827ce12de4163385a4c43d231d52e6

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 83f204eb0224b4f0f4ce058c24847ff4f45155b0b31333f5ec71e75b4187a8aa
MD5 09b5cb27f9ada9433cdb461a08fe1b08
BLAKE2b-256 07ffc0393c0c299865ba54f0c76305ada461f133d3c9c8fc47e2798e9c5c3cfa

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 185.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for CT3-3.3.3.post1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 59e5a6dd5841bf5b15b6eabe1ed652afa6f6b82a9465fec47788ce8c0a571046
MD5 9cf0db808f7522621d9a0e5d95bf6c99
BLAKE2b-256 5a08d530fd9aa22a0c8fc986d349f51f423e1d7b277f35b6a7b3a489df0d1e06

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 13a7497371dc143504a7e8c75ee81011a3008791429401eab855e786331132c0
MD5 4979c32811644c9c063432b670fc8f19
BLAKE2b-256 09d2bcdc3cae38bb2bcac28e4c21ccad6fd9c0b3853ddd331ebe08106975bffe

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3169e3fb5577f854cc6ccdb8ad616bd91b9cbf64095bdca0f8ddceece6e52206
MD5 c339c7c04ef5c323a0ee0321b19ffd8b
BLAKE2b-256 e054bda30af41e3cbcbdfbe62da6d2e7cdbaac0e97cbe645fd3292c586fd776e

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f5502d6f3df3db68dd7b13dc17c3062b2f95e9c33b6c5985a1061df032b7c90e
MD5 3d30c6f2dec47f93afd5ec4c5984aba5
BLAKE2b-256 b9a68a90aeea2849bb6700eb76ec9d2fa2f8c0ec943512487efe972a854b1519

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 185.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.18

File hashes

Hashes for CT3-3.3.3.post1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b1b5d6341f31024a52269c74de3cef36322635b081008339cbb01d1aee1f6310
MD5 c1780c17f666f33f6abd0b9eaa1549c8
BLAKE2b-256 71bfad046fdaefee9860c1746d979a1d0ff15fd7a2ec85c7546fc53f228f8f52

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3ce6666085159f75b43bdf2ef96e765dcebc9c1b15f30665cb728d2473bdc78f
MD5 dd0ac9081643e2003b0d0992ad6c8ba5
BLAKE2b-256 779baf51b3fc44fe95e711661f6185182cd576e8f13baa4bb0c7c7a14c5f79e6

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d8272fcdb36503e90c5a2195e1479c73a7c341fb0994fd0b897e90044db50ba7
MD5 ac781696e63a000cf6712868a0e094fd
BLAKE2b-256 a3cba28a5ee37814134756bc10662c6ec161d8c6b4af2f7d0ec903fe076457c1

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 02a97eb26e90c749b5b05ba2da6e98273b7d7251d8f57d42930a7667739347d3
MD5 5deb374c1cf3760b32f556ca3768ccac
BLAKE2b-256 9523d9f49c70818292e4c7e15cdc7bee0a24602c4010f073a8d18d652f8e050c

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 185.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.12

File hashes

Hashes for CT3-3.3.3.post1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3b2b7843715a04d1e11a60164b71047d217b3200f20500cb3918608249bcee13
MD5 9c4dde5bb808b7f63506841dcffc7b57
BLAKE2b-256 dfd877e8c5df3d6953965f344956c4ddf4429edde50000e294460b1456fe013a

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 84fe420bb4b40e338014f8298a21c4319a72fde15f4c032819e835a829f14419
MD5 0c109e8004116205c22fbbd780d5a61c
BLAKE2b-256 6908ba7a3bcb8d0cdf0a4f7ab28613eec4e3a63066de12b4fdff8fa7c481299b

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0ca300c4235a56468899af741a02a3d6f5c4984f0f51c22a4372bb736579fa85
MD5 5c160c0b2cff8b09d2fb2034c125f38e
BLAKE2b-256 cabcc2e717a20f7a2141600856d95460e0f922828916469f669c59889418e4a6

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4c05510276abcfcf896a44b93f7fa5f23bc6a3a2db79fef22d217a216339bfb0
MD5 d2d47bf84c32895e8c70de1e416934e0
BLAKE2b-256 0f7d4a9d0dd824a0fe393e1ddda6d3dd55355a240e9f67299e9bd94db0d5bf47

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 186.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.18 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for CT3-3.3.3.post1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b6b6fee0d3c505482b473f89e81ce704ca01f900300f8488c03619d68aba404a
MD5 24a63da91336d6c132d3ce6f23819487
BLAKE2b-256 ecb135427aefe620af194296980a8d8e786640021b2103d7bbe2e74f330d6a17

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 678.2 kB
  • Tags: CPython 3.6m, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.18 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for CT3-3.3.3.post1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cc25adc29634b3b7b5258623bbbaa107a51c15d9fef996491fa618a994202fe1
MD5 17c7a881f66d6e0d0d524b2d72e53273
BLAKE2b-256 6277998c1d7f9675a52c09658e07df1ef5b447b49cf4d749ec4079024b40b79e

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
  • Upload date:
  • Size: 678.2 kB
  • Tags: CPython 3.6m, manylinux: glibc 2.5+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.18 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for CT3-3.3.3.post1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5a40cdf0c25aa072b6e4ac18f5180b29e9444f0091fcc210fa532e82e3158060
MD5 b4a5bf7d7b0a5927ea178c7de5a17881
BLAKE2b-256 863a6473c524c4f9715d0a31dd5f746c96346be0d9095dbe92bc31d4010092ac

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp36-cp36m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp36-cp36m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 660.3 kB
  • Tags: CPython 3.6m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.18 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for CT3-3.3.3.post1-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 d28fd37acd13984a2f9e551d9bf14b586dc3534597d5b9dc40ab86f35c0cd42e
MD5 7155a41de9a212e67e158c265de473ab
BLAKE2b-256 32e62ce03628861cf3bb26d5477bf886ba0e2f16daf5adf1f28ba32b389b0b59

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 186.0 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.2 requests/2.25.1 setuptools/50.3.2 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/3.5.5

File hashes

Hashes for CT3-3.3.3.post1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 3302d0dac80bc8937f4e6c85c7054fc4684ca68b43fd799d6a7ab3eea485d706
MD5 62d625e1d81e25c004d81e8cd57bc018
BLAKE2b-256 fd3500ac9ddd4266669c5ef27a736ff07f4daf59e9a2b5d69c5402ff06f2dccf

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 687.4 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.2 requests/2.25.1 setuptools/50.3.2 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/3.5.5

File hashes

Hashes for CT3-3.3.3.post1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d2d5e530c03e8be0bc6a5c71daa2d4601fc09e717452a56bf41bb83aa7ba5faa
MD5 895c492ac1dbf995ec8c4b7fc2ada904
BLAKE2b-256 b02488e3ee7c38dfff92d9b7d57c09acdc2f45eebb6133768924edc7c5b15e4c

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.2 requests/2.25.1 setuptools/50.3.2 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/3.5.5

File hashes

Hashes for CT3-3.3.3.post1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8314403f58e28c7598ce2aa22ef63dad16b0f4f83fb45eb413202e66148877bb
MD5 b26261717c5c27b36a5ccd0fc772fcb0
BLAKE2b-256 8358a77262233837e552a73d5ee636d60ced726835011409ade4d601ae36939e

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 10a88e20eedf109899fabd3d811209ef5c129cec6250e150a6fe30dc5d654bcc
MD5 1dccc1262a9285eca7962280225bfd51
BLAKE2b-256 30dd55bab9da7d77a47944a33d63c7674bf4551d72b6e59ca6f9585d7ab45d85

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for CT3-3.3.3.post1-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0e2e634b78c5d9baef4edd21c6cc1d71142df721e7f7824d036148042ee6309e
MD5 ffc7b3f1e9c06affd6021c80a3a712d0
BLAKE2b-256 636a6bfdaa6576a32c2c4a972e3ae9fd1a426dcefb72525b9a25acc20452a2b3

See more details on using hashes here.

File details

Details for the file CT3-3.3.3.post1-cp27-cp27m-macosx_10_6_x86_64.whl.

File metadata

  • Download URL: CT3-3.3.3.post1-cp27-cp27m-macosx_10_6_x86_64.whl
  • Upload date:
  • Size: 652.5 kB
  • Tags: CPython 2.7m, macOS 10.6+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.3 requests/2.27.1 setuptools/44.1.1 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/2.7.15

File hashes

Hashes for CT3-3.3.3.post1-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 2ac5ced8146fb562056fa41edf45e9ae93686e2fa1c1bd11dfb1f050700a12bd
MD5 61999062fd516588cc0523e50f7b7183
BLAKE2b-256 8956983b70d32d841808d37e738590468c682e3a2b604bf455a4636bdd86e995

See more details on using hashes here.

Supported by

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