datacube-experiments | Experiments with Urbanairship 's datacube https : //github
kandi X-RAY | datacube-experiments Summary
kandi X-RAY | datacube-experiments Summary
datacube-experiments is a Java library. datacube-experiments has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Experiments with Urbanairship's datacube See drew.datacube.ufo.SimpleUFODataCube for rudimentary experiment with the UFO dataset from infochimps (via johnmylelswhite). Get the data from: No, there's no Accumulo implementation yet.
Experiments with Urbanairship's datacube See drew.datacube.ufo.SimpleUFODataCube for rudimentary experiment with the UFO dataset from infochimps (via johnmylelswhite). Get the data from: No, there's no Accumulo implementation yet.
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Quality
Security
License
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Support
datacube-experiments has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
datacube-experiments has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of datacube-experiments is current.
Quality
datacube-experiments has 0 bugs and 0 code smells.
Security
datacube-experiments has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
datacube-experiments code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
datacube-experiments does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
datacube-experiments 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.
It has 772 lines of code, 61 functions and 10 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed datacube-experiments and discovered the below as its top functions. This is intended to give you an instant insight into datacube-experiments implemented functionality, and help decide if they suit your requirements.
- Main entry point .
- Compares this object for equality with the given object .
- Initialize this object .
- Creates a unique hash code for this instance .
- Get month count for a state with the given state value
- Retrieves the ID bytes for the given dimension .
- Runs a batch asynchronously .
- Execute a multi - get operation
- Constructs an iterator that iterates over this input stream .
- Open the input stream .
Get all kandi verified functions for this library.
datacube-experiments Key Features
No Key Features are available at this moment for datacube-experiments.
datacube-experiments Examples and Code Snippets
No Code Snippets are available at this moment for datacube-experiments.
Community Discussions
No Community Discussions are available at this moment for datacube-experiments.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install datacube-experiments
You can download it from GitHub.
You can use datacube-experiments 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 datacube-experiments 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 .
You can use datacube-experiments 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 datacube-experiments 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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