Author:

Armando Lena Rodriguez

Published on:

February 18, 2025

35

How to Manage Multi-Language Open Source SDKs on GitHub: Best Practices & Tools

Introduction

In modern software development, Software Development Kits (SDKs) play a pivotal role in bridging the gap between APIs and developers. Managing an open-source SDK project on GitHub that supports multiple programming languages can be challenging, but it also presents an opportunity to deliver a scalable and robust product. This article explores best practices and tools for effectively managing multi-language SDKs on GitHub, including repository structure, issue and pull request management, and language support for .NET, Java, Go, PHP, Python, Ruby, JavaScript, and more.

Today, APIs are essential for enabling connectivity between applications and services. While they are powerful, working with them directly can add unnecessary complexity regardless of a developer’s experience level. This is where SDKs come in. They streamline integration, provide a more intuitive development experience, and help ensure consistency, allowing developers to focus on building reliable and efficient applications.

What is an SDK?

A Software Development Kit (SDK) is a collection of tools, libraries, and documentation that allows developers to interact with an API more easily. For instance, instead of making direct HTTP calls, an SDK provides predefined methods that abstract away complex logic. SDKs are essential to ensure developers can implement an API’s features efficiently and with fewer errors.

A good SDK should make things easier technically, inspire confidence, and reduce the learning curve. It should also be intuitive, well-documented, and consistent across various programming languages.

Challenges in Managing Multi-Language SDKs

Creating and maintaining SDKs for multiple programming languages introduces several challenges:

  1. Consistency in User Experience: Each language has its conventions and paradigms. Ensuring consistent experience across SDKs in multiple languages can be complex.
  2. API Synchronisation: SDKs must reflect changes in the central API in a timely manner, which is especially challenging when supporting multiple languages.
  3. Version Support: Some languages, such as Python, Java, and .NET, have multiple actively used versions, requiring SDKs to be compatible with several versions simultaneously.
  4. Contribution Management: To maintain project quality in an open-source environment, forks, issues, and pull requests from the community must be effectively managed.

These challenges are both technical and human. Managing an open-source project means interacting with a diverse community of developers, each with unique expectations and varying levels of experience. This requires clear communication and an empathetic approach.

Project Structure

Repository Structures

A common approach is to use either a monorepo or multiple repositories:

  • Monorepo: A single repository that contains all SDKs for different languages. It is easier to manage but may become complex as the project grows.
  • Individual repositories: Separate repositories for each language provide more flexibility and clarity for developers, but synchronisation across them can be more challenging.

Both approaches have distinct advantages and trade-offs, and the choice depends on the team’s and community’s specific needs. A monorepo can simplify synchronisation and automation, while individual repositories allow for greater specialisation in each language.

Example: Monorepo Structure with Workflows

root/

  README.md

  api-docs/

  .github/

    ISSUE_TEMPLATE/

    workflows/

      deploy.yml

      tests.yml

  sdk/

    dotnet/

    java/

    go/

    php/

    python/

    ruby/

    javascript/

In this example, the files within .github/workflows configure GitHub Actions to automate everyday tasks, such as:

  • deploy.yml: Automate the publication of each SDK to its respective registry (NuGet, PyPI, npm, etc.).
  • tests.yml: Run automated tests on each pull request to ensure code quality.

Example: Individual Repositories with Workflows

Each language has its own repository, for example:

dotnet/

  README.md

  .github/

    workflows/

      deploy.yml

      tests.yml

  src/

  tests/


java/

  README.md

  .github/

    workflows/

      deploy.yml

      tests.yml

  src/

  tests/


python/

  README.md

  .github/

    workflows/

      deploy.yml

      tests.yml

  src/

  tests/

In this case, each repository includes its workflow configuration to match the specificities of each language. For example:

  • deploy.yml in Python could include specific steps for publishing to PyPI, while in Java it would publish to Maven Central.
  • tests.yml would run language-specific tests, such as Pytest for Python or JUnit for Java.

This approach allows maintainers for each language to work independently but requires more coordination to synchronise global changes related to the API.

Branching and Versioning

Semantic Versioning (SemVer) is essential for managing multi-language SDKs. Each change should be classified as a patch, minor update, or major update based on its impact:

  • Patch: Bug fixes with no functionality changes.
  • Minor: New functionality that doesn’t break compatibility.
  • Major: Breaking changes that require updates from the user.

For example, if an API introduces a new optional feature, the SDKs can be updated with a minor change. However, a major update will be required if the API removes an existing endpoint.

Automation

Using tools like GitHub Actions or Jenkins to automate everyday tasks:

  • Automated tests: Run test suites on each pull request.
  • Version publishing: Automatically deploy new versions to registries like NuGet, Maven Central, PyPI, or npm.
  • SDK synchronisation: Ensure API changes are reflected in all languages.

Automating these processes reduces the risk of human error and speeds up the development cycle, allowing developers to focus on continuous improvement.

Managing Issues and Pull Requests

Issues

Issues should be clear and categorised to facilitate resolution. Use labels like:

  • bug
  • enhancement
  • documentation
  • language-specific (e.g., Python, Java)

A good issue should include:

  1. A detailed description of the problem or suggestion.
  2. Steps to reproduce the problem (if applicable).
  3. Expected vs. actual results.

Pull Requests

Pull requests should include templates requiring information such as:

  1. Description of the change.
  2. Expected impact.
  3. Tests performed.

A collaborative approach is key at this stage. Encouraging contributors to explain their changes helps avoid misunderstandings and ensures more effective reviews.

Review Process

  1. Review code quality.
  2. Verify compatibility with supported versions.
  3. Run automated tests, including unit tests, to ensure stability and reliability.

Fostering a culture of constructive feedback can make contributors feel valued and motivated to continue collaborating.

Language-Specific Considerations

.NET

  • Challenge: Supporting both .NET Framework and .NET Core.
  • Dependency management: Use NuGet.
  • Tools: dotnet CLI, NUnit.

Java

  • Challenge: Supporting multiple Java versions.
  • Dependency management: Use Maven or Gradle.
  • Tools: JUnit, Checkstyle.

Go

  • Challenge: Managing modules and ensuring backward compatibility.
  • Dependency management: Use Go modules.
  • Tools: gofmt, go test.

PHP

  • Challenge: Compatibility with older versions like PHP 7.x.
  • Dependency management: Use Composer.
  • Tools: PHPUnit, PHPStan.

Python

  • Challenge: Supporting Python 2.7 and 3.x.
  • Dependency management: Use pip and virtualenv.
  • Tools: Pytest, Black.

Ruby

  • Challenge: Compatibility with different Ruby versions and JRuby.
  • Dependency management: Use Bundler.
  • Tools: RSpec, RuboCop.

JavaScript

  • Challenge: Supporting Node.js and browsers.
  • Dependency management: Use npm or Yarn.
  • Tools: Jest, ESLint.

API Synchronisation

Synchronisation is critical to maintain consistency between SDKs and the central API. This can be achieved through:

  1. Synchronised versioning: Use a centralised changelog.
  2. Integration tests: Verify that SDKs behave as expected with the latest API version.
  3. Automatic SDK generation: Use tools like OpenAPI Generator to automatically generate parts of the codebase.

Communication and Management Tools

Managing issues, PRs, and other messages is critical in multi-language SDK projects. Email, Slack, or project management tools like Jira, Trello, or Asana help centralise communication and task tracking. These tools are particularly useful in distributed teams, facilitating collaboration, effective prioritisation, and transparency in project progress.

GitHub API for Centralised Management

The GitHub API provides powerful capabilities to create a centralised management tool for handling SDK projects. By leveraging the API, teams can automate repetitive tasks, such as:

  • Fetching and categorising issues across multiple repositories.
  • Automating the labelling and assignment of pull requests based on predefined criteria.
  • Generating consolidated dashboards to monitor the status of all SDKs.
  • Scheduling automated comments or notifications to remind contributors of pending tasks.

For example, a custom dashboard could use the GitHub API to display metrics such as the number of open issues, pull requests awaiting review, and release schedules for each language. This centralised approach streamlines workflows and ensures no repository is left behind in the synchronisation process.

Task Prioritisation

Prioritisation is key to effectively managing open-source projects, especially those involving multiple programming languages. Based on workload and urgency, assigning clear task priorities is essential to ensure continuous and efficient progress.

Prioritisation Methods

  1. Kanban:
    • A visual tool that manages tasks in columns such as “To Do”, “In Progress”, and “Done”.
    • It is ideal for teams needing flexibility and working in a continuous flow.
  2. Two-week sprints:
    • In agile frameworks like Scrum, dividing work into fixed-duration sprints, typically two weeks, helps maintain focus.
    • Allows for progress reviews and priority adjustments at the end of each sprint.

Prioritisation Tools

  • Jira: Excellent for teams following agile methodologies. Offers Kanban boards and specific tools for sprint planning.
  • Trello: A more straightforward option, ideal for smaller teams.
  • Asana: Useful for combining task management with team communication.

Prioritising tasks with end users and the open-source community in mind ensures that efforts remain focused on meaningful improvements and critical problem resolution.

Conclusion

Managing a multi-language open-source SDK project on GitHub is a rewarding challenge that combines technical and human aspects. It requires meticulous planning, collaborative approaches, and a continuous commitment to excellence.

Success depends on the use of automation tools, a clear versioning strategy, and effective communication with the community. By providing consistent and well-documented SDKs, you facilitate API integration and build trust and satisfaction among developers.

SDKs must adapt and remain relevant in a world of constantly evolving technology. This requires a collective effort to anticipate user needs, foster community participation, and ensure the project remains innovative and accessible. A well-managed SDK is a tool and a bridge to growth and global API adoption.


References

  1. Fowler, M. (2019). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley.
  2. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1994). Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley.
  3. OpenAPI Initiative. (2024). OpenAPI Specification (OAS) Version 3.1.0. Retrieved from https://spec.openapis.org/oas/v3.1.0 
  4. SemVer. (2024). Semantic Versioning 2.0.0. Retrieved from https://semver.org/
  5. GitHub Documentation. (2024). GitHub Actions: Automating Development Workflows. Retrieved from https://docs.github.com/en/actions 
  6. Atlassian. (2024). Jira Software Documentation. Retrieved from https://www.atlassian.com/software/jira 
  7. npm. (2024). Node Package Manager (npm) Documentation. Retrieved from https://docs.npmjs.com/ 
  8. The Python Packaging Authority. (2024). PyPI and Pip Documentation. Retrieved from https://pypi.org/project/pip/ 
  9. Oracle. (2024). Java SE Documentation. Retrieved from https://docs.oracle.com/en/java/javase/17/docs/ 
  10. .NET Foundation. (2024). .NET Documentation. Retrieved from https://learn.microsoft.com/en-us/dotnet/ 

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