Home/ClawMetry for OpenClaw vs Atlas.new

ClawMetry for OpenClaw vs Atlas.new

Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).

🏆 Atlas.new leads with 536 upvotes

ClawMetry for OpenClaw
ClawMetry for OpenClaw

Real-time observability dashboard for OpenClaw AI agents

197 upvotes📊 Data & AnalyticsFeb 2026

ClawMetry for OpenClaw is an open-source, real-time observability dashboard tailored specifically for OpenClaw AI agents. Designed to be as easy to install as possible, it requires just a single pip command and offers zero configuration, making it accessible even for those new to AI monitoring. The tool provides a comprehensive view of AI agent performance, including token costs, sub-agent activity, cron jobs, memory usage, and session history—all visualized through an intuitive live flow dashboard. Its compatibility across macOS, Linux, Windows, and Raspberry Pi makes it versatile for developers working in diverse environments. ClawMetry’s purpose-built design for AI agent observability sets it apart from traditional monitoring tools like Grafana, delivering targeted insights essential for debugging, optimization, and performance tracking of AI systems. Its sleek interface and real-time data updates make it a valuable addition for AI developers and researchers seeking transparent and actionable insights into their models' operations.

Pros

  • Easy installation with a single pip command and zero configuration
  • Specialized for AI agent observability, providing targeted metrics
  • Real-time visualization of token costs, activity, and memory usage
  • Cross-platform support including Raspberry Pi
  • Open-source and free to use

Cons

  • Focused primarily on OpenClaw, limiting scope for other AI frameworks
  • May lack advanced customization options found in more mature dashboards
  • Relatively new tool, so community support and integrations might be limited

Best for

  • Monitoring real-time token consumption during AI model interactions
  • Tracking sub-agent activity and performance for debugging
  • Observing memory usage and session history to optimize AI workflows
  • Visualizing cron job executions and scheduling for AI tasks

Pricing: OpenClaw for ClawMetry is open-source and free to use, with no apparent paid tiers or licensing requirements.

Atlas.new
Atlas.new

The AI agent for maps and spatial data

536 upvotes📊 Data & AnalyticsJan 2026

Atlas.new is an innovative SaaS platform designed to simplify the creation, analysis, and deployment of maps and spatial data. Leveraging AI technology, it enables users—regardless of GIS expertise—to build detailed maps, perform complex spatial analysis, and develop custom spatial applications with ease. Its user-friendly interface and AI-driven automation make spatial data accessible to a broad audience, from data scientists to product managers. By removing traditional barriers associated with GIS software, Atlas.new empowers teams to harness geographic insights quickly and efficiently, making it a valuable tool for businesses and developers seeking to integrate spatial intelligence into their workflows. Its community-driven approach, demonstrated by strong ProductHunt votes, underscores its growing popularity and effectiveness in democratizing geospatial data handling.

Pros

  • No specialized GIS skills required, making it accessible to a broad user base
  • AI-powered automation simplifies complex spatial analysis
  • Intuitive interface facilitates quick map creation and customization
  • Supports building and deploying spatial apps seamlessly
  • Strong community support with notable user engagement

Cons

  • May have limitations for highly advanced GIS professionals seeking in-depth tools
  • Pricing details are not explicitly clear, which could affect budget planning
  • Dependent on cloud infrastructure, potentially raising data privacy concerns for sensitive projects

Best for

  • Creating interactive maps for marketing and customer engagement
  • Performing spatial analysis for urban planning and development
  • Building location-based services and features into apps
  • Visualizing demographic or environmental data for research

Pricing: Likely follows a freemium model with free access to basic features and paid plans offering advanced capabilities, larger data limits, or enterprise options. Exact pricing details are not specified but are expected to start around a moderate monthly fee.