A Go implementation of Starlark, a Python dialect for configuration and scripting in Go applications.
Starlark in Go is a Go implementation of the Starlark language, a Python dialect designed for configuration and scripting. It allows developers to embed a lightweight, concurrent interpreter within Go applications, enabling dynamic configuration, macro expansion, and custom logic without sacrificing performance or safety.
Go developers building tools that require configuration files, build systems, or extensible scripting capabilities, such as CI/CD pipelines, infrastructure-as-code platforms, or domain-specific languages.
It provides a battle-tested, Python-like scripting environment natively in Go, with parallel execution and easy embedding, making it ideal for applications that need both the safety of Go and the flexibility of a dynamic language.
Starlark in Go: the Starlark configuration language, implemented in Go
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Uses a familiar, high-level language with first-class functions and lexical scope, making it accessible to developers with Python experience, as highlighted in the README's emphasis on readability.
Independent Starlark threads run in parallel, scaling well on multi-core systems, which is explicitly noted in the README for handling workloads efficiently.
Designed as a Go library with extensible APIs for custom functions and data types, allowing seamless integration into larger Go applications, as demonstrated in the embedding example.
Serves as a structured data notation with programming capabilities like loops and functions, enabling dynamic configuration beyond static formats like JSON, per the README's use cases.
Includes a read-eval-print loop and command-line interpreter for interactive scripting and file execution, shown in the Getting Started section with practical examples.
The project admits that breaking language and API changes may occur until the language specification is finalized, posing a stability risk for production use.
It's tightly coupled to the Go ecosystem, making it unsuitable for applications in other languages or those requiring cross-platform scripting solutions.
As a Python dialect, it lacks full Python compatibility and advanced libraries, restricting its use for general-purpose scripting or complex external integrations.
Embedding a dynamic language interpreter introduces runtime overhead compared to pure Go code, which could impact performance in latency-sensitive applications.