Open Source Projects

A PHP web framework with project scaffolding and reusable application features.

Create standalone Spring applications with auto-configuration and an executable application package.

Navigate files in a terminal with tabs, previews, multi-selection, and optional shell integration.

Lint and format Python projects with one configurable command-line tool.

Write statically typed Nim programs and compile them with a toolchain designed for systems and application work.

Define JavaScript and TypeScript schemas that validate data and infer its types.

Check annotated Python code for type inconsistencies before running it.

Transform Python array functions with just-in-time compilation, automatic differentiation, and vectorization.

Turn text descriptions of graphs into diagrams using selectable layout engines and output formats.

Add interactive choices, prompts, and terminal styling to shell scripts without writing Go code.

Copy and synchronize files between a local machine and configured cloud-storage remotes.

Describe a terminal walkthrough in a tape file and render it as a shareable recording.

Build JavaScript web applications with a framework and CLI that organize routes, components, and project tasks.

Add small reactive interactions to HTML with directives such as x-data, @click, and x-show.

Compile systems software with a general-purpose language built around explicit control and cross-compilation.

Search source trees recursively for regular expressions while respecting ignore rules by default.

Search shell history with command context, and optionally sync it across machines with encryption.

Manage and preview your dotfiles across Linux, macOS, and Windows machines.

Build Go command-line apps with subcommands, flags, generated help, and shell completion.

An Elixir web framework for building server-rendered and real-time applications.

An offline desktop toolkit for quick developer transformations, encoders, and text utilities.

Explore data and create statistical summaries and graphics in R's language environment.

Turn text definitions into editable diagrams for software design notes and documentation.

Load, reshape, and analyze labeled tabular and time-series data with Python.