Search results

The Dart SDK supplies libraries and command-line tools for Dart web, server, and command-line apps.

An Eclipse-based NXP IDE for importing SDK examples, building firmware and debugging a target board.

Publish API documentation, generate SDKs, manage OpenAPI files, and connect APIs to AI tools.

Instrument browser applications with client-side real-user monitoring signals for a Grafana observability stack.

The Microsoft test framework for writing and running unit tests in .NET projects.

Agentic development platform with an app, CLI, IDE, and SDK for building with agents.

A .NET unit-testing framework for C#, F#, and Visual Basic projects.

Instrument LLMs, agents, vector databases, and frameworks with OpenTelemetry-native AI monitoring.

Develop resource-conscious firmware for embedded boards with a real-time operating system and Zephyr SDK.

An extensible canvas SDK for custom diagramming interfaces

Mobile app observability for crashes, performance, user sessions, and product signals.

A developer SDK for embedding a real-time, collaborative whiteboard into web, mobile, and desktop applications.

Call OpenAI models and tools from an application through the developer API.

Use a vendor-neutral API specification to evaluate feature flags through compatible SDKs and providers.

Cognitive intelligence APIs for vision, voice, hearing, and language

An analytical database offered as a managed service and as a self-managed engine.

A Silicon Labs IoT development environment that installs protocol SDKs and generates projects for preferred toolchains.

TypeScript toolkit for building AI apps and agents with multiple model providers

Embedded analytics and AI for customer-facing products.

Measure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.

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

Sentry-SDK-compatible error monitoring, available hosted or self-hosted.

Compare application screenshots with approved visual baselines in automated UI tests.

Call models from multiple inference providers through Hugging Face's shared SDK and API interface.