Read and write large, multi-dimensional arrays

Project description

TensorStore

TensorStore is an open-source C++ and Python software library designed for storage and manipulation of large multi-dimensional arrays that:

Provides advanced, fully composable indexing operations and virtual views.
Provides a uniform API for reading and writing multiple array formats, including zarr and N5.
Natively supports multiple storage systems, such as local and network filesystems, Google Cloud Storage, Amazon S3-compatible object stores, HTTP servers, and in-memory storage.
Offers an asynchronous API to enable high-throughput access even to high-latency remote storage.
Supports read caching and transactions, with strong atomicity, isolation, consistency, and durability (ACID) guarantees.
Supports safe, efficient access from multiple processes and machines via optimistic concurrency.

Documentation and installation instructions are at https://google.github.io/tensorstore.

Getting Started

To get started using the TensorStore Python API, you can install the tensorstore PyPI package using:

pip install tensorstore

Refer to the tutorials and API documentation, or the announcement on the Google Research Blog for more details.

This is not an officially supported Google product.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details

Release history Release notifications | RSS feed

0.1.67

Oct 25, 2024

0.1.66

Sep 26, 2024

0.1.65

Sep 6, 2024

0.1.64

Aug 1, 2024

0.1.63

Jun 22, 2024

This version

0.1.62

Jun 17, 2024

0.1.61

Jun 10, 2024

0.1.60

May 29, 2024

0.1.59

May 7, 2024

0.1.58

Apr 26, 2024

0.1.57

Apr 25, 2024

0.1.56

Mar 16, 2024

0.1.55

Mar 14, 2024

0.1.54

Feb 24, 2024

0.1.53

Feb 4, 2024

0.1.52

Jan 5, 2024

0.1.51

Dec 4, 2023

0.1.50

Nov 15, 2023

0.1.49

Nov 12, 2023

0.1.48

Nov 9, 2023

0.1.47

Nov 2, 2023

0.1.46

Oct 18, 2023

0.1.45

Sep 29, 2023

0.1.44

Sep 21, 2023

0.1.43

Sep 15, 2023

0.1.42

Sep 8, 2023

0.1.41

Aug 9, 2023

0.1.40

Jul 1, 2023

0.1.39

Jun 22, 2023

0.1.38

Jun 16, 2023

0.1.37

May 24, 2023

0.1.36

Apr 20, 2023

0.1.35

Mar 28, 2023

0.1.33

Feb 28, 2023

0.1.32

Feb 14, 2023

0.1.31

Feb 2, 2023

0.1.30

Jan 7, 2023

0.1.28

Nov 8, 2022

0.1.27

Oct 7, 2022

0.1.26

Sep 26, 2022

0.1.25

Sep 22, 2022

0.1.24

Sep 16, 2022

0.1.23

Aug 31, 2022

0.1.22

Aug 2, 2022

0.1.21

Jul 7, 2022

0.1.20

Apr 27, 2022

0.1.19

Apr 23, 2022

0.1.18

Feb 28, 2022

0.1.17

Jan 21, 2022

0.1.16

Jan 5, 2022

0.1.15

Dec 15, 2021

0.1.14

Dec 5, 2021

0.1.13

Jul 26, 2021

0.1.12

Jun 9, 2021

0.1.11

May 28, 2021

0.1.10

Jan 30, 2021

0.1.9

Jan 13, 2021

0.1.8

Dec 1, 2020

0.1.7

Oct 10, 2020

0.1.6

Aug 26, 2020

0.1.5

Jul 31, 2020

0.1.4

Jul 31, 2020

0.1.3

Jul 29, 2020

0.1.2

May 28, 2020

0.1.1

Apr 29, 2020

0.1.0

Apr 3, 2020

Download files

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

Source Distribution

tensorstore-0.1.62.tar.gz (6.5 MB view details)

Uploaded Jun 17, 2024 Source

Built Distributions

tensorstore-0.1.62-cp312-cp312-win_amd64.whl (11.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.12 Windows x86-64

tensorstore-0.1.62-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded Jun 17, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.62-cp312-cp312-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.12 macOS 11.0+ ARM64

tensorstore-0.1.62-cp312-cp312-macosx_10_14_x86_64.whl (15.3 MB view details)

Uploaded Jun 17, 2024 CPython 3.12 macOS 10.14+ x86-64

tensorstore-0.1.62-cp311-cp311-win_amd64.whl (11.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.11 Windows x86-64

tensorstore-0.1.62-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded Jun 17, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.62-cp311-cp311-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.11 macOS 11.0+ ARM64

tensorstore-0.1.62-cp311-cp311-macosx_10_14_x86_64.whl (15.2 MB view details)

Uploaded Jun 17, 2024 CPython 3.11 macOS 10.14+ x86-64

tensorstore-0.1.62-cp310-cp310-win_amd64.whl (11.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.10 Windows x86-64

tensorstore-0.1.62-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded Jun 17, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.62-cp310-cp310-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.10 macOS 11.0+ ARM64

tensorstore-0.1.62-cp310-cp310-macosx_10_14_x86_64.whl (15.2 MB view details)

Uploaded Jun 17, 2024 CPython 3.10 macOS 10.14+ x86-64

tensorstore-0.1.62-cp39-cp39-win_amd64.whl (11.4 MB view details)

Uploaded Jun 17, 2024 CPython 3.9 Windows x86-64

tensorstore-0.1.62-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded Jun 17, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.62-cp39-cp39-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded Jun 17, 2024 CPython 3.9 macOS 11.0+ ARM64

tensorstore-0.1.62-cp39-cp39-macosx_10_14_x86_64.whl (15.2 MB view details)

Uploaded Jun 17, 2024 CPython 3.9 macOS 10.14+ x86-64

File details

Details for the file tensorstore-0.1.62.tar.gz.

File metadata

Download URL: tensorstore-0.1.62.tar.gz
Upload date: Jun 17, 2024
Size: 6.5 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.0 CPython/3.8.19

File hashes

Hashes for tensorstore-0.1.62.tar.gz
Algorithm	Hash digest
SHA256	`d0e88dae5d983e500700f9f1636eaa742f9e673b4a230d7126f1380e021f373f`
MD5	`78636235fac836984f318b551bcc8638`
BLAKE2b-256	`fb89c227f97676ef1d88fdb52f8e06258e3dd248b595ef330fe493b711f079f1`

Algorithm	Hash digest
SHA256	`446e46dfd149ab516fdf47598684fc472b206afcd5e365e0e3e55c7f280cc288`
MD5	`f8d80a0dc623ad8cac20d57ee012919b`
BLAKE2b-256	`87072957c4bfaaa00c1bff77a20d2ada598b59c05a98891681f03c4a01b99d9b`

Algorithm	Hash digest
SHA256	`78e081786b293bf3a4acf2ae54d62d25c82a21ad9503c0986ba6fcf03c6c9fbb`
MD5	`b646c6620a24c7a601bc2af1e61f23b9`
BLAKE2b-256	`937266c045fed791080bb526c6f06df238304082ab77a14d18bdaf6077d62e89`

Algorithm	Hash digest
SHA256	`6824d3f49fc2c75c7a5da1b77e840014565660852bff2544c38ccafbe63ed5a7`
MD5	`394b1a7540dd14e7b6a099894b5fb30f`
BLAKE2b-256	`d1aad79c70bc0f6b4e41c8dd2d1a7630ff609d14742281fa4d6743c5d07efec1`

Algorithm	Hash digest
SHA256	`616cd5d55ff6e2979d6f4578ad76c1d12dfdb361d43edfd90728b558857f33b9`
MD5	`7d7d1a4bf05f0e03fb47e6b3ac9c90fd`
BLAKE2b-256	`331c589edd0094383e7dc65273cd3b12d17424301a03312bfd01f9133fc101ef`

Algorithm	Hash digest
SHA256	`a7e305a7f6cfc1c7bb89dad831821accbb50109c855e70f8bc769623edd8ca6a`
MD5	`e70ccf58abdd2248e1ccd7f3cec1cca3`
BLAKE2b-256	`38d871bb02252770dd10c65b53575c7b922cd5e0885a13d9fa68527fd5367938`

Algorithm	Hash digest
SHA256	`fb1be680184752a5fc4428a738950e4292615f963bfa95ea96a0365c489688f5`
MD5	`4f11295097020230353af6b33febf534`
BLAKE2b-256	`4105d7419d0d9fa27b4d795e142ded89860fb830c71974e38c7a8647841954ce`

Algorithm	Hash digest
SHA256	`1b82e10a6c90bd2eaec3f5bcde8989052dfac528a7ac1c3492a9b0f62cf8fc19`
MD5	`43070d473c2ded9408c4584397dcb903`
BLAKE2b-256	`fa09f4383e8f1ce1200dd57f1407c61ee356297bf75c7d7397f04c8722114cd4`

Algorithm	Hash digest
SHA256	`795170d94e25f2fa49a602db5679bc08c1f03540a94a9a41a46be5201931b335`
MD5	`f17ecc9d8d38626773b8501de03110ab`
BLAKE2b-256	`6d84ff8e271a5261aa0b1b601c6e23b4c8ab3904f922d75d9197f443e9b02a5b`

Algorithm	Hash digest
SHA256	`2f48d9cab1cb382c602172fa5faf3bad0278413ec38347b3297d5e25ffceab54`
MD5	`fee5a2ecd219fcfee45f47aad7f6c9d5`
BLAKE2b-256	`fe9fa10c948927e731fc3ba62e7c81c5b83d1b2e4ff493fec248bcb43cf4a010`

Algorithm	Hash digest
SHA256	`e6a85bff22f5567fad24c7cbd83e440540453a9bec9190214b756f1789ad9a3e`
MD5	`f97128669d23e6e129f27b29868ec50c`
BLAKE2b-256	`59abc07175a417a2a3c079421a413be51f624fed3b3142fa799f4571bc4ad52b`

Algorithm	Hash digest
SHA256	`d352d70b3d4dcf629657a34f68b9b2963fc02c78dd7b1ca09efcea43bcea780d`
MD5	`70332b6b78ade2952d22867bab2c2b8f`
BLAKE2b-256	`1850842be5fc79f0472191585911735ae0d288926312a134afe50b1c4fd0a1d7`

Algorithm	Hash digest
SHA256	`46f383605f2a45410298d1b751b4f128d7febf522fb7a721ed5b262ef3318419`
MD5	`ecded2818c657186a068db7f6c5dc542`
BLAKE2b-256	`40bab44096b2bf75a57dbbbdf01f8335d814ab4a9120e927e8fa754a2279c7df`

Algorithm	Hash digest
SHA256	`c0593207999ac405bcd77716bdb1bed7f27b9126a8d7ec9da6993a7a388b1d27`
MD5	`42695097a7bed34bb358c7972fc907a9`
BLAKE2b-256	`5b21a89afe5d3371627e3fdc8bbdea25a2f5e558864fd267e2ec749780f746cd`

Algorithm	Hash digest
SHA256	`2dfc96f28efbce710bce7de748dc52c3eea9c5dc4dc8a078a383c91c8b26e656`
MD5	`61e16a2e442f443a4659bf7ce3f77684`
BLAKE2b-256	`6189ecc577168ba5d991510c7db047f835accfe5fab553fc766359d644684046`

Algorithm	Hash digest
SHA256	`22e11ca0b8757d0ee8e04fa8f6808819b635a3a6a675e5f5ce5080bf8ae9d444`
MD5	`037e7223177e50809dc8b32b0289ca7d`
BLAKE2b-256	`f39de1b41f9cee8fd2144b4c27359e9b48de06a3c58d1f3883b097c00b12a2e7`

Algorithm	Hash digest
SHA256	`01ff1c7eb579f6f1b9e7911b1fcb1a4148dc47c614d98d5df6592be1d75e5fdc`
MD5	`584c1a2d3b189013523255244d5a510c`
BLAKE2b-256	`2018be05c437e82c01ba64b6a0c93f0cd6d389d6ae95c730b0e1cc534d4d5935`

tensorstore 0.1.62

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Project description

TensorStore

Getting Started

License

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes