Project Graph

coze-dev/coze-loop

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

coze-dev/coze-loop graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes52
Edges418
Projects39
Dependencies34

Project Context

coze-loop

Maintainercoze-dev
LicenseApache-2.0
LanguageGo
Recent activityActive in the last week

Deployment Targets

dockerkuberneteslocalcloud

Dependencies

LLM provider

Knowledge Graph

52 nodes / 418 edges

coze-dev/coze-loop focus llm eval category docker deployment kubernetes deployment local deployment cloud deployment evaluate LLM … use case benchmark pro… use case track model q… use case LLM provider dependency langwatch project opik project phoenix project langfuse project helicone project

Migration Paths

What to verify before switching

JSON

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

coze-dev/coze-loop -> langwatch/langwatchCompatibility: medium / estimated cost: medium.Shared: category:llm_eval, deployment:docker, deployment:local, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: Deployment targets not listed by target: kubernetes, cloud. Language changes from Go to TypeScript.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.
coze-dev/coze-loop -> comet-ml/opikCompatibility: medium / estimated cost: medium.Shared: category:llm_eval, deployment:docker, deployment:kubernetes, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality.Gaps: Language changes from Go to Python.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.
coze-dev/coze-loop -> Arize-ai/phoenixCompatibility: medium / estimated cost: high.Shared: category:llm_eval, deployment:docker, deployment:kubernetes, deployment:local, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: Deployment targets not listed by target: cloud. Language changes from Go to Python. License changes from Apache-2.0 to NOASSERTION.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

evaluate LLM outputsbenchmark prompts and agentstrack model quality

Categories

llm eval

Alternatives

langwatch/langwatchcomet-ml/opikArize-ai/phoenixlangfuse/langfusetruera/trulenslmnr-ai/lmnr

Related Projects

langfuse/langfuseHelicone/heliconecomet-ml/opiklmnr-ai/lmnrdataelement/bishengpromptfoo/promptfoo