RepoPilot

openzipkin/zipkin

Zipkin is a distributed tracing system

Healthy

Strong maintenance signals

MixedDependency

dependency CVE scan unavailable

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

dependency CVE scan unavailable

  • Last commit 4w ago
  • 11 active contributors
  • Distributed ownership (top contributor 42% of recent commits)
  • Apache-2.0 licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: openzipkin/zipkin

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T18:31:24.859Z · commit 878ce2a1fad5

Verdict

Healthy — Strong maintenance signals

  • Last commit 4w ago
  • 11 active contributors
  • Distributed ownership (top contributor 42% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

Zipkin is a distributed tracing system that collects, stores, and visualizes timing data across microservice architectures to diagnose latency issues. It provides a web UI for querying traces by service, operation, tags, and duration, plus a dependency graph showing request flows between services. The project includes a standalone server (zipkin-server), multiple storage backends (Cassandra, Elasticsearch, in-memory), and collectors for ingestion via HTTP, Kafka, gRPC, and other protocols. Multi-module Maven monorepo: zipkin-server/ contains the main server executable, benchmarks/ holds JMH performance tests, .github/workflows/ defines CI/CD automation. Core tracing model in zipkin2…

Start here

Open these first:

  • pom.xml — Root Maven configuration defining the multi-module build structure, dependencies, and version management for the entire…
  • README.md — Essential overview of Zipkin's purpose, features, and getting-started instructions that orients all contributors to the…
  • benchmarks/pom.xml — JMH benchmark module configuration critical for understanding performance testing infrastructure and Java 17+ compilation…
  • .github/workflows/test.yml — Continuous integration test pipeline that enforces code quality standards and validates all pull requests before merge
  • RELEASE.md — Release process and versioning strategy that contributors must follow for publishing artifacts to Maven Central

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone: git clone https://github.com/openzipkin/zipkin.git && cd zipkin. Build: ./mvnw clean install (Maven wrapper included in .mvn/). Run quick-start server: `curl -sSL https://zipkin.io/quickstart.sh | bash -s &&…

Daily commands:

Dev: ./mvnw clean package -DskipTests builds all modules. Start server: java -jar zipkin-server/target/zipkin-server-*.jar. Run benchmarks: ./mvnw -pl benchmarks clean package exec:exec@jmh. Tests: `./mvnw clean v…

…shortened for this brief.

Key cautions & unknowns

  • JRE 17+ hard requirement (not 11 or 8). Maven wrapper required—don't use system Maven. Benchmarks module skipped on -DskipTests to prevent deployment. Elasticsearch and Cassandra dependencies managed separately in…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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