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apache/beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

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

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • Scorecard: dangerous CI workflow (0/10)
  • Last commit today
  • 25+ active contributors
  • Distributed ownership (top contributor 37% of recent commits)
  • Apache-2.0 licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

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: apache/beam

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T17:11:34.361Z · commit e33cd1052721

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 25+ active contributors
  • Distributed ownership (top contributor 37% 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, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Apache Beam is a unified, language-agnostic framework for defining batch and streaming data-parallel processing pipelines that can execute on multiple distributed backends (Flink, Spark, Google Cloud Dataflow, Hazelcast Jet). It provides SDKs in Java, Python, Go, and TypeScript, allowing developers to write a pipeline once and run it on their choice of execution engine without rewriting code. Multi-language monorepo: sdks/ directory contains language-specific implementations (Java under sdks/java, Python under sdks/python, Go under sdks/go, TypeScript under sdks/typescript). Build orchestration via Gradle (build.gradle.kts) with custom Groovy plugins in buildSrc/ for Docker, module…

Start here

Open these first:

  • build.gradle.kts — Root build configuration defining the unified Gradle build system, dependency management, and module coordination for the…
  • README.md — Project overview describing Beam's unified model for batch and streaming pipelines and supported SDKs and runners.
  • CONTRIBUTING.md — Contributor guidelines covering development workflow, testing, and code submission processes.
  • buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy — Core Gradle plugin orchestrating module compilation, testing, and artifact generation for Beam modules.
  • contributor-docs/release-guide.md — Release and versioning procedures essential for understanding project lifecycle and deployment cadence.

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 the repository with git clone https://github.com/apache/beam.git && cd beam. The project uses Gradle (Kotlin DSL, build.gradle.kts), so verify the Java version requirement in build.gradle.kts, then run `./gradle…

Daily commands:

No single 'dev server' — Beam is a library and pipeline framework. To run examples: (1) For Java: ./gradlew :runners:direct-java:run or similar runner-specific tasks. (2) For Python: activate virtualenv, run `python -…

…shortened for this brief.

Key cautions & unknowns

  • Scorecard: dangerous CI workflow (0/10)
    1. Multi-language builds: changing Java core may require regenerating Python stubs via gRPC; the build system handles this, but incremental rebuilds can be misleading—use clean builds when crossing language boundaries.…
  • 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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