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Call Claude models through a REST API, official SDKs, and asynchronous batch endpoints.

Validate Python data against typed models and generate matching JSON Schema.

Compiles and optimizes machine-learning models for deployment across hardware targets.

Trace and investigate AI application calls with a local or self-hosted observability interface.

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.

Personal AI art generator that turns your photos into images and videos

A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.

A coverage-guided fuzzer that mutates input corpora to find crashes and hangs in instrumented programs.

Inject controlled failures into services and infrastructure to test reliability and recovery behavior.

A client-side workflow tool for building, testing, and deploying Kubernetes applications.

A hosted test-management workspace that brings manual runs and automated results into one QA reporting view.

Generate trading rules and test how their results withstand changes

Run your existing automated browser tests on BrowserStack's hosted browser grid.

Record browser journeys and turn them into editable web end-to-end tests.

A DAST scanner for finding and validating exploitable vulnerabilities in web applications and APIs.

A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.

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

Mutate Python code and rerun its tests to find changes the suite fails to catch.

A C++ test framework for unit tests, behavior-driven cases, and basic micro-benchmarks.

Audit individual web pages and turn failed checks into concrete optimization leads.

Organize test cases, plans, and execution results so a team can track quality across releases.

Scan a web page for common accessibility issues, then follow guided checks for keyboard and manual review.

Build and test software from declared targets and dependency graphs across multiple languages.

Select parts of a scientific model and keep its version, format and attribution together