cloud-volume | Read and write Neuroglancer datasets

by seung-lab Python Version: 8.33.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | cloud-volume Summary

cloud-volume is a Python library. cloud-volume has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cloud-volume' or download it from GitHub, PyPI.

Read and write Neuroglancer datasets programmatically.

Support

Quality

Security

License

Reuse

Support

cloud-volume has a low active ecosystem.

It has 113 star(s) with 39 fork(s). There are 27 watchers for this library.

There were 7 major release(s) in the last 6 months.

There are 78 open issues and 203 have been closed. On average issues are closed in 26 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cloud-volume is 8.33.0

Quality

cloud-volume has 0 bugs and 0 code smells.

Security

cloud-volume has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cloud-volume code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cloud-volume is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cloud-volume releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

cloud-volume saves you 3278 person hours of effort in developing the same functionality from scratch.

It has 14633 lines of code, 1152 functions and 82 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed cloud-volume and discovered the below as its top functions. This is intended to give you an instant insight into cloud-volume implemented functionality, and help decide if they suit your requirements.

Return a set of unique segments
Retrieve the leaves of a segment
Get the leaves for a given root id
Create a bounding box from an object
Transfer files to cloudpath
Display error message
Create a new dataset
Wrapper for strict extract
Fetch info about the experiment
Generate a hash of a key
Benchmark a given volume
Upload an image
Get the mesh data
Get mesh data
Construct a Skeleton from a string
Create a Graphene
Create image info
Download files from bounding box
Child upload process
Get the mappings for a chunk
Check if the info file is valid
Save an array to cloudvolume
Get a list of meshes
Create a precomputed cloud
Create a viewer for the skeleton
Download files from bbox

Get all kandi verified functions for this library.

cloud-volume Key Features

No Key Features are available at this moment for cloud-volume.

cloud-volume Examples and Code Snippets

No Code Snippets are available at this moment for cloud-volume.

Community Discussions

No Community Discussions are available at this moment for cloud-volume.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cloud-volume

Cloud-volume is regularly tested on Ubuntu with 3.6, 3.7, 3.8, and 3.9. We officially support Linux and Mac OS. Windows is community supported. After installation, you'll also need to set up your cloud credentials if you're planning on writing files or reading from a private dataset. Once you're finished setting up, you can try reading from a public dataset.