--- title: "kubeshark vs netdata" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubeshark-kubeshark-vs-netdata-netdata" tools: ["kubeshark-kubeshark", "netdata-netdata"] --- # kubeshark vs netdata *GraphCanon updated Jul 11, 2026* ## Verdict Pick kubeshark when license: kubeshark is Apache-2.0, netdata is GPL-3.0; pick netdata when license: netdata is GPL-3.0, kubeshark is Apache-2.0. [kubeshark](https://kubeshark.com) reports 12k GitHub stars, 543 forks, and 146 open issues, last pushed Jul 6, 2026. [netdata](https://www.netdata.cloud) has 80k stars, 6.5k forks, and 359 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [kubeshark's repository](https://github.com/kubeshark/kubeshark) and [netdata's repository](https://github.com/netdata/netdata). | | [kubeshark](/tools/kubeshark-kubeshark.md) | [netdata](/tools/netdata-netdata.md) | | --- | --- | --- | | Tagline | eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard. | The fastest path to AI-powered full stack observability, even for lean teams. | | Stars | 11,994 | 79,594 | | Forks | 543 | 6,515 | | Open issues | 146 | 359 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents, Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kubeshark](/tools/kubeshark-kubeshark.md) | [netdata](/tools/netdata-netdata.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 146 | 359 | | Full report | [trust report](/tools/kubeshark-kubeshark/trust.md) | [trust report](/tools/netdata-netdata/trust.md) | ## Choose when ### Choose kubeshark if… - License: kubeshark is Apache-2.0, netdata is GPL-3.0. - Tags unique to kubeshark: cloud-native, ebpf, golang, grpc. - Also covers AI Agents. ### Choose netdata if… - License: netdata is GPL-3.0, kubeshark is Apache-2.0. - Tags unique to netdata: ai, alerting, cncf, data-visualization. - More GitHub stars (80k vs 12k) - visibility, not fit. ## When NOT to use kubeshark - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use netdata - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between kubeshark and netdata? kubeshark: eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.. netdata: The fastest path to AI-powered full stack observability, even for lean teams.. See the comparison table for live GitHub stats and shared categories. ### When should I choose kubeshark over netdata? Choose kubeshark over netdata when License: kubeshark is Apache-2.0, netdata is GPL-3.0; Tags unique to kubeshark: cloud-native, ebpf, golang, grpc; Also covers AI Agents. ### When should I choose netdata over kubeshark? Choose netdata over kubeshark when License: netdata is GPL-3.0, kubeshark is Apache-2.0; Tags unique to netdata: ai, alerting, cncf, data-visualization; More GitHub stars (80k vs 12k) - visibility, not fit. ### When should I avoid kubeshark? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid netdata? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is kubeshark or netdata more popular on GitHub? netdata has more GitHub stars (79,594 vs 11,994). Stars measure visibility, not whether either tool fits your constraints. ### Are kubeshark and netdata open source? Yes - both are open-source projects on GitHub (kubeshark: Apache-2.0, netdata: GPL-3.0). ### Where can I find alternatives to kubeshark or netdata? GraphCanon lists graph-backed alternatives at [kubeshark alternatives](/tools/kubeshark-kubeshark/alternatives) and [netdata alternatives](/tools/netdata-netdata/alternatives) ([kubeshark markdown twin](/tools/kubeshark-kubeshark/alternatives.md), [netdata markdown twin](/tools/netdata-netdata/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kubeshark-kubeshark-vs-netdata-netdata.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kubeshark or netdata? kubeshark: Very active. netdata: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for kubeshark and netdata? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kubeshark trust report](/tools/kubeshark-kubeshark/trust); [netdata trust report](/tools/netdata-netdata/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubeshark-kubeshark`](/api/graphcanon/graph?tool=kubeshark-kubeshark) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_