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A Python and R IDE that pairs script and notebook editing with live data exploration tools.

Build reproducible software environments and run packages temporarily with a functional package manager.

Write visual sketches in a desktop editor and run them in a graphics window with Processing.

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

Turn existing open-text feedback into a reviewed topic structure, segment comparisons and shared reports.

Build a type hierarchy with scale ratios, font settings and CSS output.

A collaborative computing workspace where projects bring notebooks, files, terminals, and software into a shared environment.

Edit a colour system in perceptual coordinates and copy design tokens.

CSS components, layout and themes for responsive interfaces

A Figma design kit paired with a React component collection

Feedback surveys with block rules, ordered actions, and an explicit fallback route

Use named colour levels across interface code and design swatches.

A BASIC development environment with an integrated IDE, compiler, interpreter, and graphical components.

Quiz funnels with answer variables and fallback text for missing values

Survey logic, carried respondent context, and conditional follow-up

An interactive Python IDE that pairs a source editor with a shell and introspection tools.

Organize, share, and collaborate on AI prompts for ChatGPT, Claude, and Gemini in one workspace.

A reactive Julia notebook that reruns dependent cells and keeps package-environment details with the notebook.

AI SEO writing tool that studies the Google top 10 and writes or optimizes content

An extensible IDE for Ada and SPARK projects, with integrated editing, build, navigation, and debugging tools.

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

Configure native-code builds in a separate build directory, then compile and run registered tests.

Create repeatable local development environments with a Vagrantfile and managed virtual machines.

Install Python command-line applications into isolated environments or run them once without a permanent install.