dashdot
dashdot is an open-source server dashboard built with TypeScript, React, and Node.js, designed for monitoring smaller VPS and private servers. It emphasizes modern UI design with glassmorphism styling and runs via Docker for easy deployment.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | MauriceNino/dashdot |
| Owner | MauriceNino |
| Primary language | TypeScript |
| License | MIT — OSI-approved |
| Stars | 3.5k |
| Forks | 129 |
| Open issues | 59 |
| Latest release | v6.3.4 (2026-03-03) |
| Last updated | 2026-07-08 |
| Source | https://github.com/MauriceNino/dashdot |
What dashdot is
TypeScript/React frontend paired with Node.js backend, exposing system metrics through a web interface accessible via HTTP. Deployed as containerized application with host-level access (privileged mode) for comprehensive system monitoring.
Get the dashdot source
Clone the repository and explore it locally.
git clone https://github.com/MauriceNino/dashdot.gitcd dashdot# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires privileged Docker container access to host filesystem (/mnt/host:ro, --privileged flag) to gather comprehensive system metrics; verify this aligns with your container security posture.
- Single-machine focus suggests minimal built-in clustering, load balancing, or failover; run separate instances per server if multi-node visibility is needed.
- Relies on TypeScript/Node.js/React stack; ensure your team has frontend and Node.js operational expertise for debugging, customization, or troubleshooting.
- No documented authentication or multi-user support in README; assess whether network isolation, firewall rules, or external auth (reverse proxy) suffices for your threat model.
- Data persisted in-memory or locally; unclear if metrics are archived for historical analysis—verify storage and retention strategy against your compliance or analytics needs.
When to avoid it — and what to weigh
- Multi-tenant or large-scale deployments — Project explicitly targets smaller servers; no documented features for managing multiple independent machines, user isolation, or enterprise role-based access control.
- Require advanced alerting or incident management — README indicates focus on visibility and UI; no mention of alert routing, escalation policies, integration with PagerDuty, Slack, or other incident response systems.
- Compliance or audit trail requirements — Limited documentation on audit logging, data retention policies, or compliance features (HIPAA, SOC2, etc.). Not suitable for regulated environments without additional validation.
- Heavy customization or API-first architecture — No evidence of stable public API, plugin system, or extensive customization hooks. Likely requires forking or code modification for deep integration scenarios.
License & commercial use
Licensed under MIT (permissive OSI license). Allows commercial use, modification, and distribution with attribution. No copyleft restrictions.
MIT license explicitly permits commercial use. However, no formal support SLA, warranty, or indemnification offered. Suitable for commercial deployments only if your team accepts upstream community-based maintenance and can support your own customizations.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Runs with --privileged flag and read-only host filesystem mount, necessary for system metrics collection but expands container attack surface. No documented secrets management, encryption, or audit logging. Network should be restricted (firewall, VPN, or local-only). No mention of vulnerability scanning, supply-chain attestation, or security contacts. Review threat model before exposing to untrusted networks.
Alternatives to consider
Grafana + Prometheus
Industry-standard observability stack with rich visualization, multi-source support, alerting, and mature ecosystem. Steeper learning curve and operational overhead; better for large-scale or multi-tenant use.
Netdata
Real-time performance monitoring with minimal setup, similar lightweight philosophy. Open-source with optional cloud backend; good for hybrid or scalable deployments.
Linux-native web console for server management and monitoring. Tighter OS integration, different UI paradigm. More mature in enterprise Linux environments (RHEL, Fedora).
Build on dashdot with DEV.co software developers
dashdot offers a lightweight starting point for self-hosted dashboards. Our team can help you evaluate fit, harden security posture, scale across multiple servers, or integrate with your existing DevOps stack.
Talk to DEV.coRelated open-source tools
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dashdot FAQ
Can I monitor multiple servers from one dashboard?
Does it support authentication or user management?
What metrics are exposed and can I export them?
Is there a backup or high-availability mode?
Custom software development services
DEV.co helps companies turn open-source tools like dashdot into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source observability stack.
Need a custom monitoring solution for your infrastructure?
dashdot offers a lightweight starting point for self-hosted dashboards. Our team can help you evaluate fit, harden security posture, scale across multiple servers, or integrate with your existing DevOps stack.