Hedwig

Practice SQL, Python, analytical judgment, and professional handoffs across nine browser-based workplace simulations. The Analyst places you inside Meridian Living Systems, a fictional products-and-services company. Across nine full assignments and a permanent weekly rotation of 16 Priority Briefs, you step into different analyst roles and confront what clean tutorials remove: unclear requests, competing clocks, unreliable grains, operational limits, and accountable handoffs. FULL ASSIGNMENTS / GO DEEPER 3–18 HOURS Explore all nine assignments NEWER LEARNERS / 5–30 HOURS OPEN ASSIGNMENT DESK / SELF-GUIDED MANUAL WORKSPACE NOTE / Complete assignments in a current laptop or desktop browser. The Analyst is the training environment. Meridian Living Systems is the fictional company inside it: a multi-region operator selling connected-home products and subscriptions, dispatching field service, running warehouses and commerce, and supporting customers after the sale.

StatLite turns Spring Boot Actuator metrics into a lightweight self-hosted dashboard with local SQLite history, well suited to small VPS deployments. Quarkus, Micronaut, and other applications are also supported. 简体中文 README Tiếng Việt README Lightweight monitoring for Spring Boot Turn Spring Boot Actuator into a self-hosted dashboard with history, charts, restart detection, and local SQLite storage. Quarkus, Micronaut, and other applications can use the same dashboard. One Go binary. About 15 MiB idle. No external monitoring services. GitHub StatLite Run StatLite locally Open http://127.0.0.1:9090 . StatLite monitors itself out of the box, so you can explore the dashboard before configuring your application. docker run --rm \ -p 127.0.0.1:9090:9090 \ ghcr.io/pvrlabs/statlite:latest ? Why it exists | Actuator exposes useful operational data, but raw JSON endpoints are not a practical everyday dashboard. Install StatLite Install the latest release on macOS or Linux with the command that fits your workflow.

Benchmark Heaven publishes cost and capability comparisons across AI models. Its own description is "The most detailed cost-capability analysis in AI. Every model. Every Benchmark. Actual Costs." One published comparison, JevBench v1.3.0, states that 52 Jev-class systems were tested on 534 decisions, with a named leader at a specific score. The site presents itself as a benchmark and cost reference rather than a model host: it reports results and prices instead of running inference itself.