Rhombus version 1.0 is now available!
More information: https://rhombus-lang.org/
Why a new language? https://rhombus-lang.org/goal.html (copied below)
Frequently Asked Questions: https://rhombus-lang.org/faq.html (copied below)
Example programs: see below
Rhombus major contributors: Mashfi Ishtiaque Ahmad, Taylor Allred, Nia Angle, Wing Hei Chan, Stephen De Gabrielle, Robert Bruce Findler, Jacqueline Firth, Matthew Flatt, Oliver Flatt, Kiran Gopinathan, Ben Greenman, Siddhartha Kasivajhula, Alex Knauth, Jay McCarthy, Lucas Myers, Alec Mills, Sam Phillips, Sorawee Porncharoenwase, Jens Axel Søgaard, and Sam Tobin-Hochstadt.
Modern programming languages reflect a consensus on the the most important programming concepts, including lexically scoped variables, closures, objects, pattern matching, and type parametricity. Why, then, yet another programming language?
Beyond the basics, there are still more good ideas for programming constructs than can fit in any one language specification. Furthermore, specific domains benefit from language support that is tailored to the domain. Language extensibility helps to balance the competing goals of a manageable language size versus fit-to-purpose for a wide range of tasks.
Many newer languages include a macro system to enable extensibility, but other macro systems have not achieved the expressiveness and fluidity of macros as they exist within the Lisp tradition, which includes Racket. At the same time, that expressiveness has been difficult to detangle from Lisp’s minimalistic, parenthesis-oriented notation.
Rhombus is designed to be
approachable and easy to use for everyday purposes (that do not need macros), which in part means a conventional syntax; and
as extensible as Racket, while making Racket’s state-of-the-art facilities more consistent and accessible to a wide audience.
Rhombus is a general-purpose, functional, extensible programming language with good performance, extensive documentation, and practical libraries. It’s a dynamic language that offers interactivity and flexibility, but it also has the static and abstraction-enforcing constructs that are needed to scale from small scripts to large systems.
While there are many small things we think are unique to Rhombus, including compact repetitions using ellipses (…) and a default set of functional data stuctures with good asymptoptic complexity, the big difference is extensibility. See Rhombus Goals.
Here are some benchmarks.
See Getting Started.
The DrRacket programming environment is the easiest way to get started, but see Magic Racket for VSCode or Racket mode (with its racket-hash-lang-mode major mode) for Emacs.
Rhombus is built on Racket, and it relies on many Racket tools, including the DrRacket programming environment and the raco command-line suite. Roughly, the languages are related in the same way as Elixir and Erlang or Kotlin and Java.
Then again, it would be fair to say that Rhombus is just Racket, because Racket is meant to be a multi-language ecosystem, and simply starting a Racket module with #lang rhombus instead of #lang racket makes it a Rhombus module. Rhombus, in turn, is meant to push Racket’s multi-language capabilities forward and enable more languages and dialects that are built on Racket and Rhombus.
A new syntax reflects the main goal of Rhombus, but #lang rhombus also improves on #lang racket in other ways: better predefined data structures (especially lists), a new class system, pervasive pattern matching, extensible static information as a new point on the spectrum of contracts to types, hierarchical namespace organization, and more.
These general language improvements could have been implemented for a Racket dialect that’s based on S-expressions, but language–syntax codesign for Rhombus opened more possibilities and produced a whole that’s greater than the sum of the parts.
Hello, fellow Lisper! Rhombus has a bicameral syntax, where the analog to the S-expression layer is shrubbery notation. This is an important part of Rhombus’s approach to macros and metaprogramming. You might be amused by this little metacircular interpreter.
Using Rhombus does not necessarily mean writing macros, because Rhombus gives you everything you expect (and probably a lot more) in the base language. The fact that a rich base language is made possible by macro extensibility could be considered an implementation detail or an academic concern. If you enjoy functional, dynamic languages and are interested in a modern synthesis, Rhombus might be for you.
The design of Rhombus reflects a conviction that metaprogramming is fundamental to software construction, and that the most effective approach to metaprogramming is one that is integerated with a general-purpose language.
In particular, accomodating domain-specific languages (DSLs) within a general-purpose language avoids some common DSL pitfalls, such as siloed languages that are difficult to integrate into an application, or half-baked abstraction constructs added to a DSL that itself inevitably needs to evolve. Meanwhile, taking metaprogramming seriously benefits not only DSLs, but also metaprogramming tasks such as documentation, analysis, and tool support.
The term macro conjures a variety of meanings and connotations. The approach taken in Rhombus might be more precisely characterized as compile-time metaprogramming or an open-compiler API, but its origins are in Lisp-style macros.
Rhombus is rooted in academia, but it is not a teaching language, and it is not just a research language. It is intended for production use.
Rhombus cannot yet provide the wealth of libraries available for the most widely used languages. But as an outgrowth of Racket, it has the resources and community needed to persist and evolve. Users should expect a similar level of stability, consistency, and support that Racket has offered for decades.
Who knows?
A common early prediction around AI coding was that it would spell the end of new languages, because AI would only be able to use the most popular languages as represented in training data. That prediction has not panned out. As of May 2026, (even before Rhombus 1.0), coding agents are pretty good at writing idiomatic Rhombus code. Maybe good documentation helps.
As for DSLs, it seems possible that raising the level of discourse in programming is good for human programmers, good for autonomous programming agents, and good for conversations between them. In that case, we’ll want languages with better DSL support, and that is Rhombus’s goal.
The Rhombus web page at https://rhombus-lang.org/ includes a carousel of short examples.
For larger and real-world examples, it’s still early days, but Rhombus contributors have used Rhombus themselves for a number of tasks — including, of course, libraries in the Rhombus distribution.
Pille is a new language that is built on Rhombus. It exercises Rhombus’s language-building facilities while using LLVM as a back end. This is a metaprogramming-heavy example.
Economancy is a tabletop game with Rhombus implementations of a referee, player programs, and a minimal GUI interface, all implemented in Rhombus as part of a course on functional programming. It demonstrates everyday functional programming with Rhombus.
rhombus-html-lib is a package included with Rhombus. It provides a full HTML 5 parser that was AI-implemented following the HTML 5 specification. The implementation is more Java-style and imperative than ideal for Rhombus code, and there’s room for performance improvement, but it demonstrates a sizeable use of Rhombus.
Slides for a networking and security were all implemented in Rhombus and its animated-picture library, pict. Slide code is not typical, and as some of the oldest Rhombus code, it’s not the most modern, but it’s a substantial code base.
pict-demo is even more pict and even more metaprogramming. The repo contains a draft artifact for an upcoming ICFP’26 paper about the pict library. The running example involves animating evaluation steps, and the implementation uses an eval_tree.rhm library that expands a program into a combination of evaluation and animation components.
Shplait is another teaching tool: a language that combines ML’s type system and Rhombus syntax. It’s used in the programming languages course at Utah.
rhombus-draw-lib is another package included with Rhombus. It wraps and refines the racket/draw library to implement the Rhombus draw version. Like some other Rhombus packages, this one illustrates an approach to reusing Racket libraries.
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