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Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.

A local API-mocking desktop app and CLI for replacing live services during development and tests.

Edit, validate, transform, and debug XML and JSON in Altova's desktop development environment.

Deploy full-stack Next.js and Angular apps from GitHub onto Google's managed web infrastructure.

Record, replay, and inspect UI tests for desktop, web, and mobile applications.

Test entry and exit rules against historical price bars

A proxy-based API simulator that records traffic for repeatable tests without calling the real service each time.

Build and operate WordPress, Drupal, and Next.js websites through managed environments and Git-connected workflows.

A programmable Markdown knowledge base for personal notes, team knowledge, and documentation.

Work with notebooks, code files, consoles, and terminals in a browser-based interactive development environment.

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

Connect service delivery, billing and financial accounts on Salesforce

Build repeatable machine images from configuration templates before handing artifacts to deployment systems.

Describe mobile and web UI journeys as YAML flows and run them on a real or virtual target.

Render technical Markdown and notebooks into reports, books, slides, and websites.

Monitor hosts, services, and network devices with agents, SNMP checks, and alerting.

Automate dependency and lockfile updates through reviewable pull requests across many repository platforms.

A TypeScript-friendly web framework that targets multiple JavaScript runtimes through Web Standards APIs.

Coordinate project tasks, Kanban plans, timesheets, budgets, and customer progress in ERPNext.

Run and coordinate existing test workflows across Kubernetes runners, then inspect their logs and artifacts.

Collect Windows machine and service measurements through configurable Prometheus collectors.

Run Python programs and isolate project packages with the official CPython interpreter.

Edit Python modules in a desktop window, run them in an interactive shell, and debug them with built-in tools.

Deploy an application from a repository or starter template and configure its runtime in Railway.