The Gudhi library is an open source library for Computational Topology and Topological Data Analysis (TDA).
Project description
The Gudhi library is an open source library for Computational Topology and Topological Data Analysis (TDA). It offers state-of-the-art algorithms to construct various types of simplicial complexes, data structures to represent them, and algorithms to compute geometric approximations of shapes and persistent homology.
The GUDHI library offers the following interoperable modules:
- Complexes:
- Cubical
- Simplicial: Rips, Witness, Alpha and Čech complexes
- Cover: Nerve and Graph induced complexes
- Data structures and basic operations:
- Simplex tree, Skeleton blockers and Toplex map
- Construction, update, filtration and simplification
- Topological descriptors computation
- Manifold reconstruction
- Topological descriptors tools:
- Bottleneck distance
- Statistical tools
- Persistence diagram and barcode
For more information about Topological Data Analysis and its workflow, please refer to the Wikipedia TDA dedicated page.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Built Distributions
Close
Hashes for gudhi-3.5.0-cp310-cp310-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fcae32e6d985c260fc551a37409d3d45c83f1bf53b9549345ff41b211fc42bff |
|
MD5 | 384fefc26f2c98025dbe467c82249cb2 |
|
BLAKE2-256 | 411637ea15d5886056c3f73027cbdae8f281aded0120b2453d19911fdcfee052 |
Close
Hashes for gudhi-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b95e4e1e6a251594ac553894276aece8579214cea8a99eb94645acbc7ec2bd81 |
|
MD5 | 39a4dba2fa3d809d983e9e1ab679767a |
|
BLAKE2-256 | 05e623a4319c4229bd904733e1d52d9b6af3be550c987e879ec2cdd1a025aea0 |
Close
Hashes for gudhi-3.5.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 167d8499ef255b9d0c62577b66a0946ee8ce58105a24f88f26cda837c3898705 |
|
MD5 | 0db285c746b1a675b5fc65ddea7a053c |
|
BLAKE2-256 | fe58dc4f0601568af414346a1c1496bf91103ab713fd580ecbfea0b9f2f38125 |
Close
Hashes for gudhi-3.5.0-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e600b71e6ebb9065575e7fdc08f82722f9029c6956afe732a9d8f3fd5c552200 |
|
MD5 | 0930a4ce3b584911cd1301cdb913fa45 |
|
BLAKE2-256 | e42a5e4f040885fe2fbeed4145d9acf0e908f7c6698fd1adeb97c9ef6e9ed0b8 |
Close
Hashes for gudhi-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e61c44c96fd825e6837077653f0c7f3785ad1cc503ef52b5040fa19f4feabf37 |
|
MD5 | 75844e2db8e5d23d7ccb74f1a37de15e |
|
BLAKE2-256 | 9b01d61222511b978bf4aa4839e3507f3953d692ac2cc2695e253a4eaa7f87f8 |
Close
Hashes for gudhi-3.5.0-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c0a79b1efc8390d58280b214789ef59372bdf3e982c7a530078670fb90478695 |
|
MD5 | 5e20ee2557aca9b81aa7feca70004db6 |
|
BLAKE2-256 | 0f7d61cbe99108aeb24006c36539c76c6240651d17f330294de248475bc493be |
Close
Hashes for gudhi-3.5.0-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 868f7d45950546a2940dc202d1f6beda98dd3cc369a86ab4a2b6f1ac881c7690 |
|
MD5 | 4ab63910ce01760c11ecbd6634229400 |
|
BLAKE2-256 | 8f2f6d03f4347abd6c7e7c896e89f3cca5d825b7bb5a98b96d3148ae5bbb1cce |
Close
Hashes for gudhi-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c787df05bf8907e26e9ab0537040bf5b0320da228842f967d0121d990e78eae6 |
|
MD5 | 66e8c4ad0cd68df5de0d04104b854509 |
|
BLAKE2-256 | c30e621717c9de12020d93c923331619b75761b75f15bdcdeb2634d9d5afbede |
Close
Hashes for gudhi-3.5.0-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cc322e4fa80c12497cb17237c46cc51256f88c89dd7d68fe6000be7fd3da5087 |
|
MD5 | 184c97453f900504c9c33bd94d1a9787 |
|
BLAKE2-256 | 263694a5bba0f401043b0f1a7d62c30a41b3ce90ef3c675ec9e55fabd2ba4c9b |
Close
Hashes for gudhi-3.5.0-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d0a9cae04881307e5ac0fca13d3c9d14668c88fb3352de61add20953d611fa07 |
|
MD5 | 354a99ecc472e4ab31d1ba86a526a6d5 |
|
BLAKE2-256 | f989284acaf90a0cafc7001405d9c4b5c5cd637572245adcfdb18ec6f35cee90 |
Close
Hashes for gudhi-3.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c2ce51bfe78ba5e20fc4ce1e3ea7eee1116e72625f0cd30bfd6f3ad4871d9bf |
|
MD5 | 5b27136f158b701d743059b3742494cf |
|
BLAKE2-256 | 64a478cf3ee2a18d3065477b207dba72dc42173329e666bc5000cd61be01fdf7 |
Close
Hashes for gudhi-3.5.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2dc8b4f21b9d0138818fc6c894fba2e75f0cac7cc8189622ae641fd15f3adda2 |
|
MD5 | e7c8d7a33f17e39438c51fdaf967cdf9 |
|
BLAKE2-256 | 8f3f7ed374951f46c9a37f01630679322c510af7d3fa61f2364d90c6df976d20 |
Close
Hashes for gudhi-3.5.0-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d63282ab58b828a008dc51e5bf3205a7efde11898961cd57ef7e377ea1219a50 |
|
MD5 | a5608ac27ede95f1dee2d3b1339d3810 |
|
BLAKE2-256 | 089b5688fff1f2107f6b8127164f231aed113808ec127a91921cc7e431e22cef |
Close
Hashes for gudhi-3.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3aa984edfcaf42f3a546d2c1b9420fdcc1c0d425bc6c35d4f47858b7df2d0ff |
|
MD5 | 5080b42881723880431c8fe3c82b984e |
|
BLAKE2-256 | 2f47a466a0eb44f28d7ce3e06ce5590339ec450f6147efd99925adf53dd5ecde |