ccusage VS PandaNpc

• Easy to use CLI
  ccusage provides a simple command-line interface for analyzing Claude Code usage from local JSONL files, making it quick to get started without complex setup.
• Detailed cost breakdown
  It offers detailed reports on token usage and costs broken down by day, month, session, or billing blocks, helping users understand exactly where their usage and spending are going.
• No API key required
  Since it reads local usage data files directly rather than calling an API, it doesn't require additional API keys or credentials to generate reports.
• Open source and free
  ccusage is an open-source tool, allowing users to inspect, modify, and contribute to the codebase, and use it without licensing costs.
• Multiple output formats
  It supports various output formats including tables and JSON, making it flexible for both human review and integration into other scripts or dashboards.

Possible disadvantages

• Limited to Claude Code
  ccusage is specifically designed for analyzing Claude Code usage data, so it isn't useful for tracking usage of other AI tools or platforms.
• Depends on local data files
  The tool relies on local JSONL log files generated by Claude Code, so if those files are missing, corrupted, or in an unexpected format, the analysis may be incomplete or inaccurate.
• Requires Node.js environment
  Since it's a CLI tool typically run via Node.js or npm/npx, users need to have a compatible JavaScript runtime installed, which may be a barrier for non-developers.
• Manual updates needed
  As Claude Code's data format or features evolve, ccusage may require manual updates to stay compatible, and users need to keep the tool updated themselves.
• Limited visualization options
  The tool primarily focuses on text-based or tabular output, lacking built-in rich graphical visualizations that some users might want for deeper analysis.

• Remote Agent Control
  Control Claude Code, Codex CLI, PandaCode, DeepSeek Harness and Pi from Web, iOS or desktop.
• Self-Hosted Execution
  Agents run on your own Windows, macOS or Linux machines, keeping repositories, credentials and toolchains local.
• Live Tool Approvals
  Review tool calls, answer questions, monitor subagents and inspect changes from anywhere.
• Private Device Mesh
  Encrypted device-to-device networking with stable private IPs and no public IP or port forwarding.
• Browser & Computer Control
  Agents can operate real browsers and remote desktops across your private device mesh with approval controls.
• Shared Agent Memory
  Agent Center synchronizes rules, skills, memories and agent profiles across machines and engines.
• PandaNote & MCP
  Agent-readable Markdown knowledge base plus 38 MCP tools for notes, models, schedules and connections.
• Scheduled Agents
  Run recurring or one-time agent tasks on the machine and coding engine you choose.
• Session Sharing
  Share revocable, time-limited live control or read-only transcripts without sharing your account password.
• Custom Models & Providers
  Use OpenAI-compatible APIs, Ollama, LM Studio, Bedrock, Vertex AI, Microsoft Foundry or custom gateways.

• tokenmaxxing: track AI coding usage across tools and devices

  Tokenmaxxing is our open-source CLI and public leaderboard for bringing those daily totals together. It builds on ccusage and syncs usage to one public profile. - Source: dev.to / 1 day ago

Tracking PandaNpc since Aug 2026.