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A graphical environment for building measurement, instrument-control, and test applications with the G language.

AI-guided cloud-native observability for telemetry, service health, and cost control.

Measure browser page-load and interaction performance with repeatable local or containerized runs.

A public library of children's science, engineering and creative projects, searchable by age and materials.

Build domain-specific languages with a projectional editor, language tools, and code generators.

Plan consulting projects and resources while tracking time, expenses, and financial performance.

Explore business and engineering data through linked statistical analyses and visualizations.

A commerce engine with structured products and channel-specific delivery rules

AI prompt workspace to generate, analyze, optimize, reverse-engineer and organize prompts

Data systems and end-to-end data work

Move Bitcoin between Lightning channels and on-chain wallets

A test-management and quality-analytics platform for organizing coverage, execution results, and release readiness.

Publish developer documentation from Markdown and API specifications with versioned content and editing tools.

Define mechanical parts, constrained assemblies and drawings linked to the model

A Go IDE that resolves project structure for navigation, refactoring, and code analysis.

A Kubernetes-based framework for provisioning infrastructure through composable APIs.

Run a self-hosted team wiki with nested pages, databases, permission-aware search, and exportable Markdown.

Combine software-team issue tracking and a project wiki with repository-linked work.

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

Attribute Kubernetes spend to clusters, teams, namespaces, and workloads, then surface savings opportunities.

Give groups of users access to managed Jupyter notebook environments from one hub server.

Manage test cases, suites and releases with AI-assisted authoring and CI integrations.

Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.

A Python command-line toolkit for authoring and running declarative chaos experiments against configured systems.