head to head · open source

Grafana vs cost-xray

Grafana has 76,792 GitHub stars, 14,752 forks, 3,326 open issues and last shipped yesterday. cost-xray has 2,046 stars, 202 forks, 13 open issues and last shipped 18 days ago. Grafana leads on adoption by 3,653% (76,792 vs 2,046 stars). Grafana is written in TypeScript under AGPL-3.0; cost-xray is written in Python under MIT. Grafana has attracted 19% as many forks as stars, cost-xray 10%. Grafana was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Grafana ★ 77K cost-xray ★ 2.0K category Infrastructure & Operations

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Side by side

Grafana cost-xray
GitHub stars ★ 77K ★ 2.0K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-09-18 2026-09-01
Forks ⑂ 15K ⑂ 202
Self-hosting Yes Yes
Data ownership Your server Your server

pick Grafana if

  • You weight community size — 77K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Grafana profile →

pick cost-xray if

  • You want the cost-xray feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and cost-xray fits your workflow better

full cost-xray profile →

About Grafana

Grafana is an open source observability platform for visualizing metrics, logs, and traces across diverse data sources. It runs in the infrastructure and operations ecosystem, designed for teams needing unified visibility into system behavior without vendor lock in. Built with TypeScript and Go, it provides a composable architecture that integrates with existing toolchains.

read the full Grafana overview →

About cost-xray

cost xray is an MIT licensed open source observability proxy for Claude Code and Codex that captures the API traffic those agents actually send and attributes every token and dollar back to the system prompts, tool schemas, MCP blocks, tool results, cache reads and writes, and thinking blocks that produced them.

read the full cost-xray overview →

More in Infrastructure & Operations

Immich ★ 114K Uptime Kuma ★ 91K worldmonitor ★ 87K mall ★ 85K NetData ★ 81K Elasticsearch ★ 78K

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uptime-kuma vs grafana worldmonitor vs grafana netdata vs grafana n8n vs huginn uptime-kuma vs worldmonitor uptime-kuma vs netdata worldmonitor vs netdata uptime-kuma vs prometheus n8n vs kestra langchain vs haystack llama-index vs haystack compose vs conductor compose vs xxl-job langgraph vs haystack compose vs gitleaks trivy vs gitleaks supabase vs nocodb mall vs prometheus mall vs nocodb supabase vs postgrest mall vs etcd mall vs dbeaver mall vs orm prometheus vs nocodb

More Monitoring & Observability projects

Compare either of these against the rest of the Monitoring & Observability field.

Grafana vs Uptime Kuma Grafana vs worldmonitor Grafana vs NetData Grafana vs huginn Grafana vs Sentry Grafana vs SigNoz Grafana vs Grafana Loki Grafana vs beszel Grafana vs cilium Grafana vs Apache SkyWalking Grafana vs jaeger Grafana vs Vector

Frequently asked questions

Is Grafana or cost-xray more popular?

Grafana has 76,792 GitHub stars and cost-xray has 2,046. Grafana has the larger community by that measure.

Are Grafana and cost-xray free?

Both are open source. Grafana is licensed under AGPL-3.0 and cost-xray under MIT. Neither carries a licence fee.

What is the difference between Grafana and cost-xray?

Grafana is written in TypeScript and cost-xray in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Grafana or cost-xray?

Choose Grafana if you want the larger community (76,792 stars) or its AGPL-3.0 licence terms. Choose cost-xray if its feature set, stack or MIT licence fits better. Both are self-hostable.