bigdataviewer-vistools | use BigDataViewer as a quick visualization tool

by bigdataviewer Java Version: Current License: BSD-2-Clause

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

kandi X-RAY | bigdataviewer-vistools Summary

bigdataviewer-vistools is a Java library. bigdataviewer-vistools has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Helpers to use BigDataViewer as a quick visualization tool in other projects. This is intented to replace/augment ImageJFunction.show() from imglib2-ij. Please note, that this is still in early stages of development. Documentation is sparse. API will break frequently in the foreseeable future.

Support

Quality

Security

License

Reuse

Support

bigdataviewer-vistools has a low active ecosystem.

It has 22 star(s) with 15 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 12 have been closed. On average issues are closed in 18 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bigdataviewer-vistools is current.

Quality

bigdataviewer-vistools has 0 bugs and 0 code smells.

Security

bigdataviewer-vistools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

bigdataviewer-vistools code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bigdataviewer-vistools is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

bigdataviewer-vistools releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

bigdataviewer-vistools saves you 1769 person hours of effort in developing the same functionality from scratch.

It has 3912 lines of code, 335 functions and 52 files.

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

Top functions reviewed by kandi - BETA

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

Draw the points
Get the screen color
Gets the current transformation
Calculate the point size
Make a volatile random interval mappings for this interval
Creates a volatile random interval mipmap source
Create and return a new volatile interval mipmap source for this type
Sets the transform of the source axes
Sets the transform of the bdv source
Creates a viewer
Draws the overlays
Configures the BigData View
Get the interpolated source
Gets the source interval
Set current transform
Collapses the split panel
Expand and focus the split pane
Remove from BdvHandle
Remove from the coordinator
Disposes the GUI
Create a new variable
Close the window
Set the bounds
Sets the display range bounds
Remove this converter from the BdvManager
Notify listeners that the current state has changed

Get all kandi verified functions for this library.

bigdataviewer-vistools Key Features

No Key Features are available at this moment for bigdataviewer-vistools.

bigdataviewer-vistools Examples and Code Snippets

No Code Snippets are available at this moment for bigdataviewer-vistools.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install bigdataviewer-vistools

You can download it from GitHub.
You can use bigdataviewer-vistools like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the bigdataviewer-vistools component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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