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The Ballerina Programming Language

Ballerina is an open source programming language and platform for cloud-era application programmers to easily write software that just works.

Providing and consuming services

It has inherently concurrent first-class language constructs for providing and consuming services.

Sequence diagrams

Sequence diagram based graphical view shows the most fundamental aspect of the semantics of a network distributed application.

Structural typing

It allows for looser coupling between distributed components and eliminates the friction of data binding.

Metadata

Extensible metadata enables easy integration of Ballerina programs with cloud platforms.

Getting started

You can use one of the following options to try out Ballerina.

Download and install

Download the binary

You can download the Ballerina distribution at http://ballerina.io.

Install from source

Alternatively, you can install Ballerina from the source using the following instructions.

Prerequisites

Building the source

  1. Clone this repository using the following command.

    git clone --recursive https://github.com/ballerina-platform/ballerina-lang
  2. Build project with Gradle. Use following command on Unix/macOS:

    ./gradlew build

    or the following command on Windows:

    gradlew build
  3. Extract the Ballerina distribution created at distribution/zip/jballerina-tools/build/extracted-distributions/ballerina-<version>-SNAPSHOT.zip.

Contributing to Ballerina

As an open source project, Ballerina welcomes contributions from the community. To start contributing, read these contribution guidelines for information on how you should go about contributing to our project.

Check the issue tracker for open issues that interest you. We look forward to receiving your contributions.

License

Ballerina code is distributed under Apache license 2.0.

Useful links

  • The [email protected] mailing list is for discussing code changes to the Ballerina project.
  • Chat live with us on our Slack channel.
  • Technical questions should be posted on Stack Overflow with the #ballerina tag.
  • Ballerina performance test results are available here.

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