grafana/tempo Graph

Graph Summary

grafana/tempo graph connects 3 alternatives, 8 related projects, 0 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes45

Edges395

Projects32

Dependencies18

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies0 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

tempo

Maintainergrafana

LicenseAGPL-3.0

LanguageGo

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

45 nodes / 395 edges

grafana/tempo ↔ monoscope-tech/monoscopeUse monoscope-tech/monoscope when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

grafana/tempo ↔ apache/hertzbeatUse apache/hertzbeat when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

grafana/tempo ↔ olemeyer/rocketplaneIOUse olemeyer/rocketplaneIO when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

grafana/tempo ↔ langchain-tracer/AxonUse langchain-tracer/Axon when the user needs an ai observability project with docker, library-only, local deployment options.

grafana/tempo ↔ deepflowio/deepflowUse deepflowio/deepflow when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

grafana/tempo ↔ evilmartians/agent-prismUse evilmartians/agent-prism when the user needs an ai observability project with library-only, local, cloud deployment options.

Alternatives Network

Replacement candidates

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grafana/tempo ↔ jaegertracing/jaegerUse jaegertracing/jaeger when the user needs an ai observability project with docker, local, cloud deployment options.

grafana/tempo ↔ SigNoz/signoz-otel-collectorUse SigNoz/signoz-otel-collector when the user needs an ai observability project with local, cloud deployment options.

grafana/tempo ↔ open-telemetry/opentelemetry-jsUse open-telemetry/opentelemetry-js when the user needs an ai observability project with library-only, local, cloud deployment options.

grafana/tempo ↔ dynatrace-oss/dtctlUse dynatrace-oss/dtctl when the user needs an ai observability project with kubernetes, local, cloud deployment options.

grafana/tempo ↔ labring/aiproxyUse labring/aiproxy when the user needs an ai observability project with docker, library-only, local deployment options.

grafana/tempo ↔ deepflowio/deepflowUse deepflowio/deepflow when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

Migration Paths

What to verify before switching

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These paths are evidence-backed heuristics, not drop-in compatibility claims.

grafana/tempo -> jaegertracing/jaegerCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:docker, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Go.Gaps: License changes from AGPL-3.0 to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

grafana/tempo -> SigNoz/signoz-otel-collectorCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Go.Gaps: Deployment targets not listed by target: docker.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

grafana/tempo -> open-telemetry/opentelemetry-jsCompatibility: medium / estimated cost: high.Shared: category:ai_observability, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems.Gaps: Deployment targets not listed by target: docker. Language changes from Go to TypeScript. License changes from AGPL-3.0 to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases