AdaptiveTuner | Adaptronic Select ECU Tuning Aid

by synman Java Version: Current License: No License

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

kandi X-RAY | AdaptiveTuner Summary

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

Adaptronic Select ECU Tuning Aid for Android. Adaptive Tuner displays key gauge data: RPM, MAP, MAT, WAT, and AFR. It additionally presents the status of the 6 Adaptive Mode Learning State flags using a big visual graphic for each, alleviating the need to wire up LEDs if you use Adaptive Closed Loop for learning.

Support

Quality

Security

License

Reuse

Support

AdaptiveTuner has a low active ecosystem.

It has 20 star(s) with 9 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 13 have been closed. On average issues are closed in 15 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AdaptiveTuner is current.

Quality

AdaptiveTuner has 0 bugs and 0 code smells.

Security

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

AdaptiveTuner code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AdaptiveTuner 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

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

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

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

Top functions reviewed by kandi - BETA

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

Initializes this ActivityBar
Gets the changelog
Set the suffix
Read fuel maps
Handle a check grid
Create the stump table
Populate fuel table
Initialize the resume state
Get a temperature symbol
Process the last 16 Registers response
Process the last registered Registers response
Sets the value of the needle
Initialise the VDMDeviceConnection
Initializes the notification
Initialise the connection
Extracts the styles from the attributes
Process the header of a phone number from the modem
Processes the last registered register packet
Called when a menu item is selected
Extracts a detailed response from the RTI response
Start a Bluetooth connection service
Tries to load the bluetooth device and tries to connect to it
Handler for battery - changed events
Set the current cell
Run the connection
Inflates the view

Get all kandi verified functions for this library.

AdaptiveTuner Key Features

No Key Features are available at this moment for AdaptiveTuner.

AdaptiveTuner Examples and Code Snippets

No Code Snippets are available at this moment for AdaptiveTuner.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install AdaptiveTuner

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