awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateOpen-source alternativesSelf-hosted softwareBlogHartă site
ProiectDespreHow we rankPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
awesome-repositories.comBlog
Categorii

5 repository-uri

Awesome GitHub RepositoriesInteractive Execution

Tools for running Go code snippets and scripts.

Explore 5 awesome GitHub repositories matching part of an awesome list · Interactive Execution. Refine with filters or upvote what's useful.

Awesome Interactive Execution GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • traefik/yaegiAvatar traefik

    traefik/yaegi

    8,311Vezi pe GitHub↗

    Yaegi is a Go language interpreter and embedded scripting engine that executes Go source code at runtime without requiring a separate compilation step. It provides a mechanism for evaluating Go expressions and files dynamically, functioning as both a library for compiled applications and a standalone read-eval-print-loop environment. The project enables the integration of dynamic Go scripts into compiled programs to allow for runtime extensibility and plugin development. It facilitates the conversion of interpreted symbols from evaluated scripts into usable interfaces and types within a compi

    Elegant Go interpreter for interactive scripting.

    Gogogolanginterpreter
    Vezi pe GitHub↗8,311
  • gopherdata/gophernotesAvatar gopherdata

    gopherdata/gophernotes

    3,965Vezi pe GitHub↗

    Gophernotes is a backend implementation of the Jupyter kernel protocol and an interactive runtime that enables the execution of Go language code within notebook environments. It serves as a Go language execution engine, allowing users to integrate Go into polyglot notebooks such as Jupyter and nteract. The project supports the creation of documents that combine executable source code with rich media. It maps internal data types to various formats, including HTML, JSON, LaTeX, PDF, and images, to provide visual representations of execution results. The system covers a range of capabilities in

    Jupyter Notebook kernel for Go.

    Goartificial-intelligencedata-sciencego
    Vezi pe GitHub↗3,965
  • cosmos72/gomacroAvatar cosmos72

    cosmos72/gomacro

    2,286Vezi pe GitHub↗

    Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros

    Interactive Go REPL with support for macros.

    Godebuggerevalgenerics
    Vezi pe GitHub↗2,286
  • natefinch/gorramAvatar natefinch

    natefinch/gorram

    1,048Vezi pe GitHub↗

    It's like go run for any go function

    Executes Go standard library functions from the CLI.

    Gocode-generationgogolang
    Vezi pe GitHub↗1,048
  • nickwells/utilitiesN

    nickwells/utilities

    0Vezi pe GitHub↗

    Provides various CLI utilities for Go developers.

    Vezi pe GitHub↗0
  1. Home
  2. Part of an Awesome List
  3. Developer Tools
  4. Interactive Execution