OffseasonTraining | Offseason software development training content

by RobotCasserole1736 Java Version: Current License: MIT

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

kandi X-RAY | OffseasonTraining Summary

OffseasonTraining is a Java library. OffseasonTraining has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However OffseasonTraining build file is not available. You can download it from GitHub.

Welcome to the Offseason software development training content for FRC Team 1736!.

Support

Quality

Security

License

Reuse

Support

OffseasonTraining has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

OffseasonTraining has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OffseasonTraining is current.

Quality

OffseasonTraining has no bugs reported.

Security

OffseasonTraining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

OffseasonTraining is licensed under the MIT License. This license is Permissive.

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

Reuse

OffseasonTraining releases are not available. You will need to build from source code and install.

OffseasonTraining has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Perform periodic update .
Load the calibration values from the file .
Initializes the log index .
Starts the web server .
Test program .
Get data samples from the specified AcqSpec
Find all annotated signals that are annotated with a robot .
Get a JSON representation of the signal samples recorded .
Calculate the integral of a given value .
Handle incoming request .

Get all kandi verified functions for this library.

OffseasonTraining Key Features

No Key Features are available at this moment for OffseasonTraining.

OffseasonTraining Examples and Code Snippets

No Code Snippets are available at this moment for OffseasonTraining.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install OffseasonTraining

You can download it from GitHub.
You can use OffseasonTraining 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 OffseasonTraining 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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