In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service.
Fix Inventory helps you identify and remove the most critical risks in AWS, GCP, Azure and Kubernetes.
Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statist...
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types โ from 6-bit floats to 64-bit complex โ acro...
PostgreSQL metrics monitor/dashboard
Fast scalable time series database
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alt...
MetricFlow allows you to define, build, and maintain metrics in code.
โญ๏ธ The Open-Source Polyglot Observability Warehouse: Light, Fast, Cloud Native, Drop-in Grafana LGTMP alternative :rocket: Indie All-in-One Opentelem...
an open source solution to application performance monitoring for java server applications
Export Django monitoring metrics for Prometheus.io
:bento: Highly Configurable Terminal Dashboard for Developers and Creators
Measures and metrics for image2image tasks. PyTorch.
Prometheus metric library for Nginx written in Lua
Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.
Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!
Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage b...
:bar_chart: Benchmark multiple object trackers (MOT) in Python
Instrument your FastAPI with Prometheus metrics.
Distributed Prometheus time series database
A metrics ecosystem for Rust.
Distributed Tracing, Metrics and Context Propagation for applications running on the JVM
A small (< 1kb) library for measuring things in your web app and reporting the results to Google Analytics.
A Prometheus exporter for MongoDB including sharding, replication and storage engines
The OpenTelemetry C++ Client
Prometheus monitoring for your gRPC Go servers.
Amon is a modern server monitoring platform.
Whisper is a file-based time-series database format for Graphite.
Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis
An embedded time-series database
Progressive web metrics at your fingertipz
The Open Source Observability Distribution
Data reliability tools for SQL- and Spark-accessible data
High-fidelity performance metrics for generative models in PyTorch
A dashboard front-end for graphite.
Enterprise-Grade Open-Source Network Management Platform
Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-...
๐ Open source, privacy-first web analytics โ a cookie-less Google Analytics alternative with built-in error tracking and performance monitoring. Self...
Metrics dashboards on terminal (a grafana inspired terminal version)
Emerge is a browser-based interactive codebase and dependency visualization tool for many different programming languages. It supports some basic code...
Prometheus Client Library for Modern C++
Simple. Scalable. Multi-cloud monitoring.
A top-like tool for your Kubernetes cluster metrics
Collect and display information and stats from a running PostgreSQL server
k8spacket - collects TCP traffic and TLS connection metadata in the Kubernetes cluster using eBPF and visualizes in Grafana
Performance Co-Pilot
The only tool you need to know what is happening and how to fix it.
eBPF-based Linux kernel observability ๐๐
๐ Monitor and measure React Native performance