Search Results for "google-visualization-python"

...Built for scalability and maintainability, it’s designed for Chinese-speaking developers building robust backend management systems, and includes tools for user, role, and permission management, data visualization, and more.

Statsviz is a Go library that provides real-time visualization of Go runtime metrics through an embedded web dashboard. By registering HTTP handlers in an application, developers can instantly expose live charts showing heap usage, garbage collection activity, goroutines, scheduler behavior, and other runtime statistics. The system streams metrics to the browser via WebSocket, enabling near-real-time updates with minimal overhead. statsviz is designed to integrate easily into existing Go services and supports customization such as alternate routes, middleware integration, and user-defined plots. ...

BCC is a toolkit that simplifies creating efficient kernel tracing, monitoring, and manipulation programs by leveraging extended Berkeley Packet Filters (eBPF). It includes a rich set of example tools and scripting interfaces in C, Python, and Lua. BCC makes BPF programs easier to write, with kernel instrumentation in C (and includes a C wrapper around LLVM), and front-ends in Python and lua. It is suited for many tasks, including performance analysis and network traffic control. With a BPF-specific frontend, one should be able to write in a language and receive feedback from the compiler on the validity as it pertains to a BPF backend. ...

...Flower also supports broker monitoring and integrates with authentication providers and Prometheus for metrics export, making it suitable for production environments. The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. Because Celery is widely used in Python microservices and background job systems, Flower has become a standard companion utility for teams that need operational insight and control over distributed task processing.

...Built on .NET technologies, Opserver can run across multiple operating systems and is designed for environments that require both infrastructure metrics and application-level diagnostics. It emphasizes real-time status visualization combined with drill-down capabilities for troubleshooting complex distributed systems.

Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE