Skip to main content

Hierarchical datasets for Python

Project description

PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Cython sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.

Download files

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

Source Distribution

tables-3.10.1.tar.gz (4.8 MB view details)

Uploaded Source

Built Distributions

tables-3.10.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

tables-3.10.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.1 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

tables-3.10.1-cp313-cp313-macosx_11_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

tables-3.10.1-cp313-cp313-macosx_10_13_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

tables-3.10.1-cp312-cp312-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.12 Windows x86-64

tables-3.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tables-3.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

tables-3.10.1-cp312-cp312-macosx_11_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

tables-3.10.1-cp312-cp312-macosx_10_9_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

tables-3.10.1-cp311-cp311-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

tables-3.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tables-3.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

tables-3.10.1-cp311-cp311-macosx_11_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tables-3.10.1-cp311-cp311-macosx_10_9_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

tables-3.10.1-cp310-cp310-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

tables-3.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tables-3.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

tables-3.10.1-cp310-cp310-macosx_11_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tables-3.10.1-cp310-cp310-macosx_10_9_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

File details

Details for the file tables-3.10.1.tar.gz.

File metadata

  • Download URL: tables-3.10.1.tar.gz
  • Upload date:
  • Size: 4.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tables-3.10.1.tar.gz
Algorithm Hash digest
SHA256 4aa07ac734b9c037baeaf44aec64ec902ad247f57811b59f30c4e31d31f126cf
MD5 87d343c4fdead818d240403695ee44a7
BLAKE2b-256 0d5d96708a84e9fcd29d1f684d56d4c38a23d29b1c934599a072a49f27ccfa71

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 757c6ea257c174af8036cf8f273ede756bbcd6db5ac7e2a4d64e788b0f371152
MD5 be5a5686dcf3d4a3e3c425609a3fa0fa
BLAKE2b-256 89fd62f31643596f6ab71fc6d2a87acdee0bc01a03fbe1a7f3f6dc0c91e2546d

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 40a4ee18f3c9339d9dd8fd3777c75cda5768f2ff347064a2796f59161a190af8
MD5 3ead71ffa124932f1c0e08fb9d0f3f13
BLAKE2b-256 23839dac8af333149fa01add439f710d4a312b70faf81c2f59a16b8bfaebb75e

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2ecabd7f459d40b7f9f5256850dd5f43773fda7b789f827de92c3d26df1e320f
MD5 4ccd99eeb688fbce080816cb7be2339d
BLAKE2b-256 c649091865d75090a24493bd1b66e52d72f4d9627ff42983a13d4dcd89455d02

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6fc5b46a4f359249c3ab9a0a0a2448d7e680e68cffd63fdf3fb7171781edd46e
MD5 bdb1f34ee8dc608045a85a56629cbbd8
BLAKE2b-256 d3d4e7c25df877e054b05f146d6ccb920bcdbe8d39b35a0962868b80547532c7

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: tables-3.10.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tables-3.10.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 34357d2f2f75843a44e6fe54d1f11fc2e35a8fd3cb134df3d3362cff78010adb
MD5 55353bf1d8607463f010bb257036a027
BLAKE2b-256 3d275a23830f611e26dd7ee104096c6bb82e481b16f3f17ccaed3075f8d48312

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f233e78cc9fa4157ec4c3ef2abf01a731fe7969bc6ed73539e5f4cd3b94c98b2
MD5 c0199ee85ebf4b2f81fae3d0e5de8000
BLAKE2b-256 d8792b34f22284459e940a84e71dba19b2a34c7cc0ce3cdf685923c50d5b9611

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e36ce9f10471c69c1f0b06c6966de762558a35d62592c55df7994a8019adaf0c
MD5 352f4667cf1fbb33caa1f92434ca5b2c
BLAKE2b-256 c326925793f753664ec698b2c6315c818269313db143da38150897cf260405c2

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 203ed50c0c5f30f007df7633089b2a567b99856cd25d68f19d91624a8db2e7ad
MD5 e8300fffd1ceb7c07218bbb76d1b0906
BLAKE2b-256 7402a967a506e9204e3328a8c03f67e6f3c919defc8df11aba83ae5b2abf7b0f

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a7090af37909e3bf229d5599fa442633e5a93b6082960b01038dc0106e07a8da
MD5 32823e9485957d8447a71b6ed9900317
BLAKE2b-256 95ecea6c476e33602c172c797fe8f8ab96d007d964137068276d142b142a28e5

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tables-3.10.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tables-3.10.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 09190fb504888aeacafb7739c13d5c5a3e87af3d261f4d2f832b1f8407be133a
MD5 3b2aa094cc951019609f2c0411b97914
BLAKE2b-256 1fe33ee6b66263902eccadc4e0e23bca7fb480fd190904b7ce0bea4777b5b799

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9372516c76be3a05a573df63a69ce38315d03b5816d2a1e89c48129ec8b161b0
MD5 fd05e2f653392cd1e3d03c86928ab38e
BLAKE2b-256 4e5c3f21d1135bf60af99ac79a17bbffd333d69763df2197ba04f47dd30bbd4e

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 01ca51624bca1a87e703d6d6b796368bc3460ff007ea8b1341be03bedd863833
MD5 b4529611b4ec8f00bf3d4433cacbe2bc
BLAKE2b-256 b08f897324e1ad543ca439b2c91f04c406f3eeda6e7ff2f43b4cd939f05043e4

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f93f6db623b484bb6606537c2a71e95ee34fae19b0d891867642dd8c7be05af6
MD5 9120074cf3af5137e39adb87cb0d42fd
BLAKE2b-256 b219eb7af9d92aaf6766f5fedfce11a97ab03cf39856561c5f562dc0c769a682

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f8917262a2bb3cd79d37e108557e34ec4b365fdcc806e01dd10765a84c65dab6
MD5 49b6c35199f731c591f4e53e0bac2960
BLAKE2b-256 dc04957264eb35e60251830a965e2d02332eb36ed14fbd8345df06981bbf3ece

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tables-3.10.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tables-3.10.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d90542ec172d1d60df0b796c48ad446f2b69a5d5cd3077bd6450891b854d1ffb
MD5 a3a2b6e806c3464304859b26f6dd5a7a
BLAKE2b-256 46b3985a23d2cf27aad383301a5e99e1851228a1941b868515612b5357bded5f

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 77f0e6dd45b91d99bf3976c8655c48fe3816baf390b9098e4fb2f0fdf9da7078
MD5 9aba196e5d069fccaa9729cd839ce2c4
BLAKE2b-256 0a7d3165c7538b8e89b22fa17ad68e04106cca7023cf68e94011ae7b3b6d2a78

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f9cf1bfd8b0e0195196205fc8a134628219cff85d20da537facd67a291e6b347
MD5 239cd7ec2ccca7d2aec3c881d888fdc5
BLAKE2b-256 4a3029411ab804b5ac4bee25c82ba38f4e7a8c0b52c6a1cdbeea7d1db33a53fe

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b62881cb682438d1e92b9178db42b160638aef3ca23341f7d98e9b27821b1eb4
MD5 676a63b0b77019bf55d0159419fdf822
BLAKE2b-256 e42d074bc14b39de9b552eec02ee583eff2997d903da1355f4450506335a6055

See more details on using hashes here.

File details

Details for the file tables-3.10.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.10.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bca9d11a570ca1bc57f0845e54e55c3093d5a1ace376faee639e09503a73745b
MD5 42a3ebf67419cce5336937952437ac2b
BLAKE2b-256 ff69a768ec8104ada032c9be09f521f548766ddd0351bc941c9d42fa5db001de

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