dagger
Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud
💡 Why It Matters
Dagger addresses the complexities of automating software delivery, enabling engineers to build, test, and deploy code efficiently. This open source tool for engineering teams is particularly beneficial for ML/AI teams that require a robust CI/CD pipeline to manage their workflows. With a maturity level that suggests it is production-ready, Dagger has garnered steady community interest, gaining 474 stars over 96 days. However, it may not be the right choice for teams needing a highly customisable solution or those with very specific workflow requirements that fall outside its capabilities.
🎯 When to Use
Dagger is a strong choice when teams need a reliable, production-ready solution for automating their build and deployment processes, especially in a cloud environment. Teams should consider alternatives if they require extensive customisation or specific integrations not supported by Dagger.
👥 Team Fit & Use Cases
This tool is primarily used by DevOps engineers and ML/AI teams who need to streamline their deployment processes. It is commonly integrated into products and systems that involve containerisation and continuous integration workflows.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-14. Over the past 97 days, this repository gained 474 stars (+3.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.