awesome-lua vs awesome-v

Curated discovery lists for Lua and V projects

awesome-lua and awesome-v are community-curated directories that help developers find projects and learning resources for their respective languages. awesome-lua covers a broad Lua ecosystem, while awesome-v focuses on applications, libraries, and resources for V, including editor support and community links.

awesome-luaawesome-v
License—CC0-1.0
Stars4.6k2.1k
Forks349144
Last analyzedOct 29, 2026Oct 22, 2026

Key differences

  • awesome-lua spans Lua development areas such as networking, games, testing, and language references; awesome-v organizes V applications and libraries across areas including databases, graphics, and scientific computing.
  • awesome-lua includes Lua implementations, interpreters, and bindings for other languages; awesome-v lists V editor plugins, IDEs, and syntax-highlighting support.
  • awesome-lua links to focused related lists for OpenResty and LÖVE; awesome-v includes learning resources such as videos, forums, and online playgrounds.
  • awesome-v uses the CC0-1.0 license; no license detail is supplied for awesome-lua.
  • awesome-lua was last pushed on 2024-08-11, while awesome-v is described as having regular recent commits and contributions from more than one person.
  • Both are directories rather than software packages, and both advise checking linked projects for current status and compatibility.

Choose awesome-lua if you…

  • browse Lua packages and tools across development, networking, games, and testing.
  • look for Lua tutorials, references, articles, talks, or books alongside projects.
  • explore Lua interpreters, bindings, or FFI tools for language integration.
Read the awesome-lua analysis →

Choose awesome-v if you…

  • find V frameworks and libraries for a web or command-line project.
  • look for V editor integrations, IDEs, or syntax-highlighting support.
  • explore V learning resources, including tutorials, videos, forums, and playgrounds.
Read the awesome-v analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.