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macmon vs OpenObserve

OpenObserve is a petabyte-scale observability platform, not a lightweight local monitor like macmon.

Side by side

What it is
macmon:macmon is a Rust-based terminal tool that monitors CPU, GPU, RAM, temperature and power on Apple Silicon Macs in real time.
OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for
macmon:Sudo-free macOS hardware monitoring
OpenObserve:Unified, petabyte-scale observability
Who it’s for
macmon:Developers and sysadmins who need low-overhead performance metrics on macOS ARM machines
OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing
macmon:Open source
OpenObserve:Paid
Plans
macmon:—
OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source
macmon:Yes, 1,909 GitHub stars
OpenObserve:Yes, 22,149 GitHub stars
Works with
macmon:Prometheus, Grafana
OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes
macmon:2
OpenObserve:39
Launched on DevHunt
macmon:Feb 2025
OpenObserve:Apr 2026

macmon features

  • No sudo required. Runs without root privileges using a private macOS API.
  • Real-time power metrics. Shows CPU, GPU and ANE power usage live.
  • Temperature and memory stats. Displays average CPU/GPU temperatures and RAM/swap usage.
  • Customizable UI. Switchable color themes and small window mode.
  • JSON and Prometheus output. Exports metrics via pipe, HTTP /json and /metrics endpoints.
  • Stress testing commands. Generates load to observe metric behavior.

OpenObserve features

  • Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
  • Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
  • Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
  • AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
  • AI assistant. Answers natural-language queries across all telemetry without writing queries.
  • LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
  • Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
  • OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.

Based on each tool's website and DevHunt data. Details may change; check the official sites.