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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.
