Package Health Score

97 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 1.28K
Forks: 109
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tensorstore, we found that it has been starred 1,279 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Mar 16, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 36
Open PR: 6
Last Release: 1 month ago
Last Commit: 21 days ago

Further analysis of the maintenance status of tensorstore based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that tensorstore demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 30
Funding: No

With more than 10 contributors for the tensorstore repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.9

Age: 4 years
Latest Release: 1 month ago
Dependencies: 2 Direct
Versions: 55
Maintainers: 3
Wheels: Linux, macOS, Windows

Readme

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 .

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 .

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.

tensorstore dependencies

ml-dtypes numpy

FAQs

What is tensorstore?

Read and write large, multi-dimensional arrays. Visit Snyk Advisor to see a full health score report for tensorstore, including popularity, security, maintenance & community analysis.

Is tensorstore popular?

The python package tensorstore receives a total of 3,428,445 weekly downloads. As such, tensorstore popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tensorstore well maintained?

We found that tensorstore demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tensorstore safe to use?

The python package tensorstore was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 April-2024, at 07:29 (UTC).

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tensorstore

Read and write large, multi-dimensional arrays For more information about how to use this package see README

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Readme

TensorStore

Getting Started

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tensorstore dependencies

FAQs

What is tensorstore?

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Is tensorstore safe to use?

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Readme

TensorStore

Getting Started

License

tensorstore dependencies

FAQs

What is tensorstore?

Is tensorstore popular?

Is tensorstore well maintained?

Is tensorstore safe to use?

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Source Code

Open Source

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Config

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