h5py · PyPI

Read and write HDF5 files from Python

These details have not been verified by PyPI

Project links

Reason this release was yanked:

Prevalent import errors on Windows

Project description

The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.

A strong emphasis on automatic conversion between Python (Numpy) datatypes and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python.

Wheels are provided for several popular platforms, with an included copy of the HDF5 library (usually the latest version when h5py is released).

You can also build h5py from source with any HDF5 stable release from version 1.10.4 onwards, although naturally new HDF5 versions released after this version of h5py may not work. Odd-numbered minor versions of HDF5 (e.g. 1.13) are experimental, and may not be supported.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

3.16.0

Mar 6, 2026

3.15.1

Oct 16, 2025

3.15.0

Oct 13, 2025

3.14.0

Jun 6, 2025

3.13.0

Feb 18, 2025

3.12.1

Sep 26, 2024

This version

3.12.0 yanked

Sep 25, 2024

Reason this release was yanked:

Prevalent import errors on Windows

3.11.0

Apr 10, 2024

3.10.0

Oct 9, 2023

3.9.0

Jun 20, 2023

3.8.0

Jan 23, 2023

3.7.0

May 24, 2022

3.6.0

Nov 16, 2021

3.5.0

Oct 20, 2021

3.4.0

Aug 23, 2021

3.3.0

Jun 22, 2021

3.2.1

Mar 5, 2021

3.2.0

Mar 3, 2021

3.1.0

Nov 6, 2020

3.0.0

Oct 30, 2020

3.0.0rc1 pre-release

Oct 10, 2020

2.10.0

Sep 6, 2019

2.9.0

Dec 20, 2018

2.9.0rc1 pre-release

Dec 8, 2018

2.8.0

Jun 5, 2018

2.8.0rc1 pre-release

Mar 9, 2018

2.7.1

Sep 1, 2017

2.7.0

Mar 19, 2017

2.7.0rc2 pre-release

Jan 4, 2017

2.6.0

Apr 8, 2016

2.5.0

Apr 8, 2015

2.4.0

Jan 5, 2015

2.4.0b1 pre-release

Nov 3, 2014

2.3.1

Jun 22, 2014

2.3.0

Apr 22, 2014

2.3.0b1 pre-release

Mar 14, 2014

2.2.1

Dec 9, 2013

2.2.0

Sep 4, 2013

2.1.1

Jan 7, 2013

2.0.0

Jun 20, 2011

1.3.0

Mar 16, 2010

1.2.1

Sep 19, 2009

1.2.0

Jun 22, 2009

1.1.0

Feb 8, 2009

1.0.0

Dec 2, 2008

1.3.0.dev-r634 pre-release

Mar 16, 2010

Download files

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

Source Distribution

h5py-3.12.0.tar.gz (411.5 kB view details)

Uploaded Sep 25, 2024 Source

Built Distributions

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

h5py-3.12.0-cp313-cp313-win_amd64.whl (1.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.13Windows x86-64

h5py-3.12.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.13manylinux: glibc 2.17+ x86-64

h5py-3.12.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.2 MB view details)

Uploaded Sep 25, 2024 CPython 3.13manylinux: glibc 2.17+ ARM64

h5py-3.12.0-cp313-cp313-macosx_11_0_arm64.whl (2.8 MB view details)

Uploaded Sep 25, 2024 CPython 3.13macOS 11.0+ ARM64

h5py-3.12.0-cp313-cp313-macosx_10_13_x86_64.whl (3.3 MB view details)

Uploaded Sep 25, 2024 CPython 3.13macOS 10.13+ x86-64

h5py-3.12.0-cp312-cp312-win_amd64.whl (1.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.12Windows x86-64

h5py-3.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.12manylinux: glibc 2.17+ x86-64

h5py-3.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.2 MB view details)

Uploaded Sep 25, 2024 CPython 3.12manylinux: glibc 2.17+ ARM64

h5py-3.12.0-cp312-cp312-macosx_11_0_arm64.whl (2.9 MB view details)

Uploaded Sep 25, 2024 CPython 3.12macOS 11.0+ ARM64

h5py-3.12.0-cp312-cp312-macosx_10_13_x86_64.whl (3.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.12macOS 10.13+ x86-64

h5py-3.12.0-cp311-cp311-win_amd64.whl (1.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.11Windows x86-64

h5py-3.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.11manylinux: glibc 2.17+ x86-64

h5py-3.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.3 MB view details)

Uploaded Sep 25, 2024 CPython 3.11manylinux: glibc 2.17+ ARM64

h5py-3.12.0-cp311-cp311-macosx_11_0_arm64.whl (2.9 MB view details)

Uploaded Sep 25, 2024 CPython 3.11macOS 11.0+ ARM64

h5py-3.12.0-cp311-cp311-macosx_10_9_x86_64.whl (3.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.11macOS 10.9+ x86-64

h5py-3.12.0-cp310-cp310-win_amd64.whl (1.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.10Windows x86-64

h5py-3.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view details)

Uploaded Sep 25, 2024 CPython 3.10manylinux: glibc 2.17+ x86-64

h5py-3.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.2 MB view details)

Uploaded Sep 25, 2024 CPython 3.10manylinux: glibc 2.17+ ARM64

h5py-3.12.0-cp310-cp310-macosx_11_0_arm64.whl (2.9 MB view details)

Uploaded Sep 25, 2024 CPython 3.10macOS 11.0+ ARM64

h5py-3.12.0-cp310-cp310-macosx_10_9_x86_64.whl (3.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.10macOS 10.9+ x86-64

h5py-3.12.0-cp39-cp39-win_amd64.whl (1.5 MB view details)

Uploaded Sep 25, 2024 CPython 3.9Windows x86-64

h5py-3.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.9manylinux: glibc 2.17+ x86-64

h5py-3.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.2 MB view details)

Uploaded Sep 25, 2024 CPython 3.9manylinux: glibc 2.17+ ARM64

h5py-3.12.0-cp39-cp39-macosx_11_0_arm64.whl (2.9 MB view details)

Uploaded Sep 25, 2024 CPython 3.9macOS 11.0+ ARM64

h5py-3.12.0-cp39-cp39-macosx_10_9_x86_64.whl (3.4 MB view details)

Uploaded Sep 25, 2024 CPython 3.9macOS 10.9+ x86-64

File details

Details for the file h5py-3.12.0.tar.gz.

File metadata

Download URL: h5py-3.12.0.tar.gz
Upload date: Sep 25, 2024
Size: 411.5 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.0.0 CPython/3.12.6

File hashes

Hashes for h5py-3.12.0.tar.gz
Algorithm	Hash digest
SHA256	`00955a079e9f86c5ae2cd08accb54396c69cda87152312ddd1528e3f90acc866`
MD5	`296b0332af5f18c87bf9bfd9e8b57a32`
BLAKE2b-256	`fc4fa72139ebeb03ebbb9d78ce4e7475332cf46027f978491dbcfc54d60f272a`

Algorithm	Hash digest
SHA256	`a76f1015c3fa5134eb6b09c2db0ed3e45f7ba6e163d7292012504f650ee925c4`
MD5	`a2e43922ef6c4243e61ca3ca09bddb68`
BLAKE2b-256	`c56904f138fde7453ed45fb3a45fca115790f4f5629e5eb747a76423f0dfb00a`

Algorithm	Hash digest
SHA256	`d05d42c0a12833de06183243032c975396a6c9854c11086026c93d83e295aa3b`
MD5	`0dd91b1e38bae9877467da3074397dbb`
BLAKE2b-256	`c79d18fe0726439e5158530a2ab2787a2baced73f671ac7936ae9d94505fb7b2`

Algorithm	Hash digest
SHA256	`81849e8b1c03f83f6d12372c6c2d9dd1761c325227a9e656c41689a508407aaf`
MD5	`55173fc489d78cd5599229b8c92dd592`
BLAKE2b-256	`f42139386622a693b5444c821e153d641662327a7011ae5273ab112ef4c46277`

Algorithm	Hash digest
SHA256	`0eb2fe5c7f52bb43e46b6833d318ed0b7809026401a113be46af0f3001135396`
MD5	`394a7ad6d940f4b377e2f72598f1685c`
BLAKE2b-256	`22de28dff0c756fdf3f4e3d81a05f3523dd87937cd7794fce4408bcda30caa80`

Algorithm	Hash digest
SHA256	`64039533ba3b019874bc34bad2110fc1f37b783c2345c0da39c85d49f188124c`
MD5	`1db726c51bc733e23b79744121710a69`
BLAKE2b-256	`bf70fe712ed651df12521b8367d04c8b25406cb3f99e0a1cce7f5d47f3819b5a`

Algorithm	Hash digest
SHA256	`65c9342c8b023071a34aaf3dad923046ce265ba4cbe29b246b86cbd67394774e`
MD5	`51fa2468c5c86b47fccd38ae9fa1f5ab`
BLAKE2b-256	`58891ad228d03d698a8d9b1218ab38b0f0c0a7e681393c85e81987195ed72080`

Algorithm	Hash digest
SHA256	`53b3ed27d77ae9e7c38a1379fc976278ace360701b4bf0de6a05a3725b61f4b9`
MD5	`24ff08bbfbec6959ebf0a1e4e88179e6`
BLAKE2b-256	`455602664e1e8bc97daaecd0e4fc84b2d1160f85c73ec78952ddb915b76181bb`

Algorithm	Hash digest
SHA256	`9311a19199a39f91e538965a11939e7a2d469be335e523795cac2e1cfbf5c921`
MD5	`51387f60a34ffbb8db7999a442dc716d`
BLAKE2b-256	`862877ff81c62e3720ef3d4a0f19fe975d23995e088e316e41b470ade3114621`

Algorithm	Hash digest
SHA256	`94495ffc95176799c85ca93f615cce787748cc18b2ee20d566ccf7cb7a97b9a5`
MD5	`d125dfea1c650aa65cd1297bc818c097`
BLAKE2b-256	`5947a99aabbb824db19810c9b762667949fdcd15260c4b463a2145c8462072fe`

Algorithm	Hash digest
SHA256	`8506b029ec3d97f382df0d2b2c4f2e25817ef0fce34e264796f52e5cbd7b48fd`
MD5	`23d400c3d7a15c9b632a104cdd1ba9c9`
BLAKE2b-256	`e81dd08f3e001edae8d54da13f33698e7b0b86c78fb4b7918c95fc8732d3863f`

Algorithm	Hash digest
SHA256	`4af6b4c50e17d0291a05fba60c43ab41cfeb2a26d72a8028b0da6c3d32aba61a`
MD5	`54402e8ac82926cde47a9e4708a62d4e`
BLAKE2b-256	`60e1606c9cab03a3506976e5e53d23cb1055d7b55da33fb71de4d78a78dde9f0`

Algorithm	Hash digest
SHA256	`75f905cce8efff7ce4c25d4e12fb679b14c859d8b3accf61f34ae1904dc8a76d`
MD5	`7eb6be5b95f5c29cb87c95e3afe40c7a`
BLAKE2b-256	`bd5a0bba8b842131be1c5cffcf4c91d9fca1bfad6c2372fb36c2157f2eb4ec01`

Algorithm	Hash digest
SHA256	`2afc5216a03949f95221054ae95daa4f6b7c0e925b787d7beda09457f92b7cc5`
MD5	`19f27d51a8c5796f47c47c207d3fab54`
BLAKE2b-256	`ce7e99c683d13f7a6c617a817539e3f9a3b8f5ed05741b7bed644dac2cdb8acd`

Algorithm	Hash digest
SHA256	`c0fa5519ae857552e1c5979ec221c2c448c86a38294619f2a148b711f8fd8e2e`
MD5	`28b8bb673b18cf2c6b45d5cdbb49acfb`
BLAKE2b-256	`4b30fc552f34780b0f5e07437168086ce7401f5c6c76ad350d5c9774f1d37f41`

Algorithm	Hash digest
SHA256	`9786b1d8594b6d14787ca9307313be205e35940be702340b7e8e9ee140a70f58`
MD5	`97f870ba2b06f00842c77e2183c55c07`
BLAKE2b-256	`1786129d50bfc1c432af6f6e91413e98025ce9d74e52395bb0bdf2ef2f593b40`

Algorithm	Hash digest
SHA256	`84c5ee3389befbb9e373168354698cd7628a386a1a4a5a1092483fc1051b62d2`
MD5	`38dc883fa7838b052dfad8d719cfd6d8`
BLAKE2b-256	`fc6bb969f966afbbd92a99e5f0c27887a70febbc4419870a0162393eb8d2e7c2`

Algorithm	Hash digest
SHA256	`045937ab2d63ae76ad3f5f260a8c6d0500ca068ef2e46a5d37c646875fa27228`
MD5	`9fcd66b1addc0fd9189b42af002f630b`
BLAKE2b-256	`4d2ea6dacf225907e561c8069306e06047c01cb7bc7d49656a40e92f3721801b`

Algorithm	Hash digest
SHA256	`ca2b325e6b0022b4b5fa8d5c30b7457a2780e4261709411c85a2d9d8f305c7b4`
MD5	`d7d14557c9c49f6cd97c4000937c3ee3`
BLAKE2b-256	`ddd2671075aad2f20377b9d93468c08ae79c9ff5db720b77afb242c32b4975cd`

Algorithm	Hash digest
SHA256	`3d8d7620b6c9dcf371cbecd799bcd0e86e0def37ae7f365f7e4a913a407f7f59`
MD5	`4748cdabc562f6fd311506a2b2e4cdd5`
BLAKE2b-256	`03fc9b6c0e9fccdcb71e3107504d7ed9a20482593784e068d38410eb06b294e4`

Algorithm	Hash digest
SHA256	`2f5b20a712b5459ec17d8ee68d447fc9b91ce3bd23b08ab1e15dc1ddeb6d3627`
MD5	`c982d5f40944440c1fa69f9efeaffe48`
BLAKE2b-256	`e109e0c14e40dd4ed55dd28105682109e13de8200518911b4e82512027029ca2`

h5py 3.12.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`62707f24f7048f0f1c9c19f2593454b13e651f366266b1b244e4f62fbbd85e46`
MD5	`88ca7322e561a10f5e7663d3592fdadf`
BLAKE2b-256	`fea5e1c97eef171943d600212797fb2d07955693c7da1c4afc29a83cd32d4296`

Algorithm	Hash digest
SHA256	`124070427617fba1acf34b9a5a5ac5cf22e8ba88e318a090f76974aea2fde079`
MD5	`e70d6033c2fcac9e3d8d6d63672344bd`
BLAKE2b-256	`084ae0087aae12b02aa90c09f21264d2f2825ee0159ee8999c134ac186992ee1`

Algorithm	Hash digest
SHA256	`74bf1b386585ddd7c550e78a11ee5336bab05bf5785f913958512cb4a50affb3`
MD5	`7c730997cd1c5a814ea15256cf77320a`
BLAKE2b-256	`fbbb8cd60608d2b9941ba8e6233743d4d9b3abb063da538bf6fd146ce5bb954d`

Algorithm	Hash digest
SHA256	`02ff2e6b8fac4174885ca6e3130d0d5e43eb7c25612d647173848dedf734a7cb`
MD5	`c79b9239a0fe853086b6d982c0476a57`
BLAKE2b-256	`77734ba4015135d769d41395a95a260739debb144ab16159b99ca1911c9ccc86`

Algorithm	Hash digest
SHA256	`6649fad7c030b2fb086aae7e528ba10b673c1d55465ea89b85fcaf19b9aceb20`
MD5	`6a770bdf26f0e63b4fb87449c32cd69f`
BLAKE2b-256	`a8b84e4b3cd27309cacbb4a2c1830acd0a50e50d148b8def2517506398b4ba8a`