Xray Test Management for Jira
getxray.appA Jira-native test-management app for linking manual and automated test work to requirements and releases.
A Jira-native test-management app for linking manual and automated test work to requirements and releases.
A command-line tool for sending HTTP requests and asserting the responses as repeatable tests.
Run web and mobile application tests on hosted browsers and physical devices without maintaining a device lab.
Track scheduled jobs and heartbeats so missed runs and failed background processes can trigger alerts.
Turn results from supported test frameworks into interactive reports with history, steps and failure context.
SVG artwork and React icon data for Gravity UI interfaces.
A test-management and results platform that combines manual QA with automation data from CI.
Store, cache, and share software packages as part of a build and release workflow.
Production and post-production articles from named contributors
Build an internal developer portal around a catalog of services, teams, APIs, and ownership metadata.
Data integration, quality, and analytics for AI-ready data
Retrieve company financials, KPIs and filing material through an API
Drive a chosen rate of HTTP requests and turn response samples into load-test reports.
Preview and deploy infrastructure changes through the same CI workflow as application code.
Run mobile automation suites on real Android and iOS devices in BrowserStack's cloud.
Sign and verify container images and other software artifacts with keys or Sigstore's OIDC-based flow.
Check whether independently developed services agree on the HTTP and message contracts they use.
Process meshes and CAD through desktop, command-line and hosted tools
Combine Python expressions and shell commands in one Python-based command prompt.
Automate game-asset reduction with explicit quality and format controls
Model performance scenarios for applications and APIs, generate virtual-user load and analyze run results.
Checks code quality and security with JetBrains static analysis in IDEs and CI pipelines.
Composes Python components into retrieval, search, and agent pipelines for AI applications.
Build functional, security and performance tests for APIs, then automate the runs in CI.