Eric Python IDE
eric-ide.python-projects.orgA Python-focused desktop IDE with project management, debugging, code checks, and an extensible plug-in system.
A Python-focused desktop IDE with project management, debugging, code checks, and an extensible plug-in system.
Design geographic marketing experiments and analyze lift against control markets.
Seed-mailbox placement tests with authentication and sending-IP diagnostics
Create visual, no-code browser tests with AI planning and API or CLI runs for CI.
Automate browser sessions through WebDriver for functional tests of web applications.
Run JavaScript and TypeScript projects with a combined runtime, package manager, test runner, and bundler.
Sui token accounts and separate test-network practice
Write JVM tests with JUnit Jupiter and run them through the JUnit Platform from an IDE, build tool, or console.
Run unit and component tests in JavaScript or TypeScript projects using Vitest.
Application email delivery and isolated sandboxes for inspecting test messages
Teacher-certification preparation organised by US state and test series.
Run Node.js tests with a BDD-style interface, configurable reporters, lifecycle hooks, and asynchronous support.
A Python property-based testing library that generates inputs to challenge the properties your code should preserve.
Check a web application manually or with automation across remote browser and operating-system combinations.
A cloud grid for running browser and mobile application tests on remote devices.
Theory-test preparation with learner, instructor and library access routes.
AI agents test live web and mobile apps on every pull request
AI agentic testing cloud for web, mobile, chat, voice and IVR
Describe Java and Groovy tests as executable specifications with setup, action, and outcome blocks.
Speed up Bazel builds with remote execution, caching, and a build-results interface.
Run network and application tests from global or private agents, then use path and routing views to locate where performance breaks.
Record and run realistic web and API load tests in real browsers, then review user-facing timings.
Define reusable build and test checks as code that can run locally or on a remote engine.