Open Source Mac Application Performance Monitoring Tools
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Application Performance Monitoring Tools for Mac
View 40 business solutionsBrowse free open source Application Performance Monitoring tools and projects for Mac below. Use the toggles on the left to filter open source Application Performance Monitoring tools by OS, license, language, programming language, and project status.
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dd-trace
JavaScript APM Tracer
dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts. -
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SigNoz
SigNoz is an open-source APM. It helps developers monitor their apps
Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack. Visualise Metrics, Traces and Logs in a single pane of glass. You can see metrics like p99 latency, error rates for your services, external API calls and individual end points. You can find the root cause of the problem by going to the exact traces which are causing the problem and see detailed flamegraphs of individual request traces. Run aggregates on trace data to get business relevant metrics. Filter and query logs, build dashboards and alerts based on attributes in logs. -
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JavaMelody
Monitoring of JavaEE applications
The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. The goal of JavaMelody is to monitor Java or Java EE applications in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. JavaMelody is open-source (ASL) and production-ready: in production in an application of 25 person-years. JavaMelody is easy to integrate in most applications and is lightweight (no profiling and no database). JavaMelody includes statistics of predefined counters (currently HTTP requests, SQL requests, jsf actions, struts actions, JSP pages, and methods of business façades if EJB3, Spring or Guice) with, for each counter. -
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SCOUTER
Scouter is open source APM (Application Performance Management) tool
SCOUTER is an open-source APM like New Relic and appdynamics. (APM means application performance monitoring or application performance management.) -
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Sentry JS
Sentry SDKs for JavaScript
From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications, from the frontend to the backend. Over 1M developers and 80K organizations already ship better software faster with Sentry application monitoring. Won’t you join them? Learn the ins and outs of distributed tracing and how it can assist you in monitoring the increasingly complex requirements of full-stack applications. Source code, error filters, stack locals, Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s). -
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PgHero
A performance dashboard for Postgres
PGHero (ankane/pghero) is an open-source tool for monitoring and analyzing PostgreSQL database performance, built to provide insights into query behavior, index usage, replication lag, and resource bottlenecks. It runs alongside your application (often as a Rails engine, but usable standalone) and collects metrics from PostgreSQL system views, logging slow queries, long-running transactions, and missing indexes. The web interface presents dashboards with charts and tables that help you understand trends, spot inefficient queries, and identify opportunities for optimization. PGHero supports customizable thresholds and notifications, so you can be alerted when slowness or index problems emerge. It also includes views of replication and connection statistics, helping teams monitor operational health without deploying external monitoring tools. -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them! -
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DeepFlow
Application Observability using eBPF
DeepFlow provides a universal map with Zero Code by eBPF for production environments, including your services in any language, third-party services without code and all cloud-native infrastructure services. In addition to analyzing common protocols, Wasm plugins are supported for your private protocols. Full-stack golden signals of applications and infrastructures are calculated, pinpointing performance bottlenecks at ease. Zero Code distributed tracing powered by eBPF supports applications in any language and infrastructures including gateways, service meshes, databases, message queues, DNS, and NICs, leaving no blind spots. Full-stack network performance metrics and file I/O events are automatically collected for each Span. Distributed tracing enters a new era, Zero Instrumentation. DeepFlow collects profiling data at a cost of below 1% with Zero Code, plots OnCPU/OffCPU function call stack flame graphs, and locates Full Stack performance bottleneck in the application. -
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Elastic APM Node.js Agent
Elastic APM Node.js Agent
This is the official Node.js application performance monitoring (APM) agent for the Elastic Observability solution. It is a Node.js package that runs with your Node.js application to automatically capture errors, tracing data, and performance metrics. APM data is sent to your Elastic Observability deployment -- hosted in Elastic's cloud or in your own on-premises deployment -- where you can monitor your application, create alerts, and quick identify root causes of service issues. First, you will need an Elastic Stack deployment. This is a deployment of APM Server (which receives APM data from the APM agent running in your application), Elasticsearch (the database that stores all APM data), and Kibana (the application that provides the interface to visualize and analyze the data). If you do not already have an Elastic deployment to use, follow this APM Quick Start guide to create a free trial on Elastic's cloud. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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apm-agent-java
Elastic APM Java Agent
Elastic APM Java Agent. Using the -javaagent option is the most common way to set up Java agents on a JVM. -
11
inspectIT
inspectIT is the leading Open Source APM
inspectIT is the leading open-source APM (application performance management) tool for monitoring and analyzing your Java(EE) software applications. Various sensors capture end-to-end information for every request from the end user, to the business tier all the way to the backends. inspectIT is based on an application-centric, business-focused approach, where each technical request is mapped to an application and to a business use case. With inspectIT you always know about the health of your software and can easily analyze any problems that arise. For Web applications, the tool integrates the End user monitoring using automatic JavaScript agent injection. This allows easy monitoring of the performance that real users are facing in the browser. In addition, the inspectIT can correlate all user actions in the browser to the backend traces, thus providing a complete picture on the user experience. -
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Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.
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13
Alibaba iLogtail
Fast and Lightweight Observability Data Collector
iLogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. Supports a variety of Logs, Traces, and Metrics data collection, and is friendly to container and Kubernetes environment support. The resource cost of data collection is quite low, 5-20 times better than similar telemetry data collection Agent performance. High stability, used in the production of Alibaba and tens of thousands of Alibaba Cloud customers, and collecting dozens of petabytes of observable data every day with nearly tens of millions deployments. -
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Apache SkyWalking
Application Performance Monitoring System
Apache SkyWalking is an open source application performance monitoring system designed specifically for microservices, as well as cloud-native and container-based(Docker, Mesos, Kubernetes) architectures. It is capable of monitoring, tracing and diagnosing distributed systems in cloud native architectures. Apache Skywalking supports the collection of telemetry data from a number of different sources and in different formats, such as Java, .NET Core, PHP, LUA agent and more. It also offers a solid core features set, which includes root cause analysis, service topology map analysis, performance optimization, and many more. -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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Apache SkyWalking Rocketbot UI
SkyWalking RocketBot UI
Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native, and container-based (Kubernetes) architectures. End-to-end distributed tracing. Service topology analysis, service-centric observability and API dashboards. Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance. Rover agent works as a metrics collector and profiler powered by eBPF to diagnose CPU and network performance. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd. BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data. -
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Datadog Client Libraries for Go
Datadog Go Library including APM tracing, profiling, and security
Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. Navigate directly from investigating a slow trace to identifying the specific line of code causing performance bottlenecks with code hotspots. -
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Fiery
trace for PHP
Fiery is an APM-Application Performance Management for the PHP. -
19
Flashlight Android
Audits your app and gives a performance score to your Android apps
Audits your app and gives a performance score to your Android apps (native, React Native, Flutter..). Measure performance on CLI, E2E tests, CI. -
20
HertzBeat
An open source, real-time monitoring system with custom-monitoring
An open-source, real-time monitoring system with custom monitoring, performance-cluster, Prometheus-compatible and agentless. [Monitoring+Alarm+Notification] all in one. Support monitoring web service, database, os, middleware, cloud-native, network and more. Easy to use and agentless, offering full web-based operations for monitoring and alerting with just a few clicks. Makes protocols such as Http, Jmx, Ssh, Snmp, Jdbc configurable, allowing you to collect any metrics by simply configuring the template online. High performance, supports horizontal expansion of multi-collector clusters, multi-isolated network monitoring and cloud-edge collaboration. Provides flexible alarm threshold rules and timely notifications delivered via Discord Slack Telegram Email DingDing WeChat FeiShu Webhook SMS. -
21
HttpReports APM
HttpReports is an APM (application performance monitor) system
HttpReports is an APM (application performance monitor) system for Net Core. Based on MIT open-source protocol, The main functions include statistics, analysis, visualization, monitoring, tracking, etc. It is very suitable for use in microservices. -
22
JPFPSStatus
Show FPS Status on StatusBar
JPFPSStatus is a simple and lightweight tool that displays the frames per second (FPS) of an iOS app in real-time. Designed for performance debugging and optimization, it provides a floating overlay that shows the current FPS, helping developers monitor app responsiveness and rendering performance. -
23
Jaeger UI
Web UI for Jaeger
Visualize distributed tracing with Jaeger. Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud native, and infinitely scalable. -
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Kieker
Software Monitoring Framework
Kieker is a framework for continuous monitoring and dynamic analysis of distributed software systems. Being designed for continuous operation, it induces only a low overhead. The TraceAnalysis tool allows to analyze and visualize trace information. -
25
Laravel Pulse
Laravel Pulse is a real-time application performance monitoring tool
Pulse delivers at-a-glance insights into your application's performance and usage. Track down bottlenecks like slow jobs and endpoints, find your most active users, and more. Uncover the users who make the most requests, engage with the slowest endpoints, and dispatch the most jobs throughout your Laravel applications. Take the guesswork out of optimizing your queue workers. See real-time and historical stats for how many jobs are pending, how many failed, and how many are processed successfully. See a high-level overview of your application's performance bottlenecks. View the slowest endpoints, queries, jobs, and outgoing requests that are impacting users.
