Bob Nystrom 701cffbe69 revert: remove safeToString_ and recursive toString handling due to memory leak on runtime errors
The safeToString_ mechanism introduced in 40897f33 used per-fiber maps and lists to detect recursive toString calls, but leaked memory when runtime errors occurred before cleanup. This reverts to direct toString implementations for List and Map, removing the recursive detection logic and updating tests to mark self-referencing containers as TODO.
2015-05-19 13:50:17 +00:00

Wren is a small, fast, class-based concurrent scripting language

Think Smalltalk in a Lua-sized package with a dash of Erlang and wrapped up in a familiar, modern syntax.

IO.print("Hello, world!")

class Wren {
  flyTo(city) {
    IO.print("Flying to ", city)
  }
}

var adjectives = new Fiber {
  ["small", "clean", "fast"].each {|word| Fiber.yield(word) }
}

while (!adjectives.isDone) IO.print(adjectives.call())
  • Wren is small. The codebase is about 5,000 lines. You can skim the whole thing in an afternoon. It's small, but not dense. It is readable and lovingly-commented.

  • Wren is fast. A fast single-pass compiler to tight bytecode, and a compact object representation help Wren compete with other dynamic languages.

  • Wren is class-based. There are lots of scripting languages out there, but many have unusual or non-existent object models. Wren places classes front and center.

  • Wren is concurrent. Lightweight fibers are core to the execution model and let you organize your program into an army of communicating coroutines.

  • Wren is a scripting language. Wren is intended for embedding in applications. It has no dependencies, a small standard library, and an easy-to-use C API. It compiles cleanly as C99, C++98 or anything later.

If you like the sound of this, give it a try! Even better, you can contribute to Wren itself.

Build Status

S
Description
Highly customized version of the wren programming language. It has all the modules that you would expect in a std library including http, websockets, sqlite3 and jinja-like templating engine. The idea is to make it suitable for web development.
Readme
22 MiB
Languages
HTML 50%
C 22.2%
PHP 13.4%
C++ 6%
Makefile 2.9%
Other 5.5%