#Metrics

Ignite offers a high-level library for streamlined training and evaluation of neural networks in PyTorch, emphasizing code simplicity and flexibility. This library provides a robust engine and event system, extensible metrics, and integrated handlers for training management, artifact saving, and parameter logging. It efficiently supports custom function execution and maintains control over the training process. Ignite is easily installable via pip or conda, and supports nightly releases and Docker.

Learn how .NET 8's System.Diagnostics.Metrics enables ASP.NET Core metric collection, viewable on Grafana dashboards using Prometheus data. Import JSON files for monitoring ASP.NET Core performance metrics efficiently.

SCOUTER provides a thorough solution for monitoring application performance across open source software, similar to offerings by New Relic and AppDynamics. It effectively tracks essential metrics in Java applications, and on Linux, Windows systems, including active user statistics, service efficiency, and resource consumption. Enhanced with support for platforms like Redis, MySQL via Telegraf, and Zipkin, it allows for seamless monitoring of diverse environments. The platform includes in-depth metric analysis, customizable alert functions, and an easy-to-use interface for managing performance. SCOUTER is valuable for maintaining application efficiency across different infrastructures.

DeepEval is an open-source tool that evaluates large-language models (LLMs) using metrics such as G-Eval and answer relevancy. It operates locally, supports CI/CD workflows, and offers integration with platforms like Hugging Face. DeepEval helps determine hyperparameters for optimal LLM performance and facilitates transitions between systems such as OpenAI and self-hosted Llama2.

The OpenTelemetry Rust implementation equips developers with tools for telemetry data, including metrics, logs, and traces. It integrates with observability tools like Prometheus and Jaeger, and offers interoperability with existing logging libraries. With an adaptable API and SDK, it supports diverse development needs and data export formats, helping developers gain insights into application performance and make data-driven decisions.