Dashboards
6 results| Name | Popularity | Author | Quality | Modified |
|---|---|---|---|---|
| Ollama LLM Inferenceollamallminference Ollama dashboard for the ollama-exporter written in go (https://github.com/maravexa/ollama-exporter) | 0 0 | maravexa | Good | |
| Claude Code Metricsclaude-codeanthropicllm Comprehensive monitoring dashboard for Claude Code CLI usage. Track sessions, tokens, costs, commits, pull requests, lines of code, and developer productivity metrics. Compatible with Prometheus, VictoriaMetrics, Mimir, and Thanos. Metrics required: - claude_code_session_count_total - claude_code_token_usage_tokens_total - claude_code_cost_usage_USD_total - claude_code_active_time_seconds_total - claude_code_lines_of_code_count_total - claude_code_commit_count_total - claude_code_pull_ | 0 0 | shashwatsaxena | Good | |
| vLLM Inference Monitor (中文汉化版)vllmllminference 基于原版 #24755 的完整中文汉化版本。覆盖 vLLM 推理核心指标:调度器效率、KV Cache 使用率、TTFT/TPOT 延迟、Prefix Cache 命中率、请求完成原因分布等。已适配 Grafana 10.4+,开箱即用。 | 0 0 | q673475900 | Good | |
| Main Overviewai Main Production Overview | 0 0 | ClusterIO | Fair | |
| Neurix — Ollama & NVIDIA GPUollamagpunvidia Ollama LLM runtime metrics — models, VRAM, GPU telemetry, process stats. Requires Neurix ollama_exporter. | 0 0 | diyrex | Good | |
| NVIDIA GPU for AI Workloads — Efficiency, Cost & Health (DCGM)gpunvidiadcgm GPU monitoring for self-hosted AI: are your tensor cores actually working, what does each run cost in kWh, and is your VRAM degrading? Built and battle-tested on a local LLM rig (100B+ parameter models). Requires dcgm-exporter with DCP/profiling metrics enabled. Multi-GPU via UUID variable. | 0 0 | orangeoctopus1069 | Good |