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delta-io/delta

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

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

Scorecard "Token-Permissions" is 0/10; dependency CVE scan unavailable

  • ✓Last commit today
  • ✓32+ active contributors
  • ✓Distributed ownership (top contributor 11% 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 OpenSSF Scorecard

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Repository brief

Repo brief: delta-io/delta

Generated by RepoPilot · document generated 2026-09-17 · concise human review Evidence snapshot · analyzed 2026-09-17T00:06:28.942Z · commit 770664c83e3b

Verdict

Healthy — Strong maintenance signals

  • Last commit today
  • 32+ active contributors
  • Distributed ownership (top contributor 11% 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 OpenSSF Scorecard

What it is

Delta Lake is an open-source storage framework that adds ACID transaction support, schema enforcement, and time-travel capabilities to data lakes. It enables building Lakehouse architectures (combining data lake scalability with data warehouse reliability) compatible with compute engines like Spark, Flink, Trino, and Hive through standardized APIs in Scala, Java, Python, and Rust. Monorepo structured with core Delta logic likely in root-level Scala/Java modules, connectors/ subdirectory containing engine-specific integrations (flink/, etc.), and connectors/golden-tables/ providing test fixtures (pre-built Delta tables in _delta_log format with .json transaction logs and .parquet data…

Start here

Open these first:

  • build.sbt — Root build configuration that orchestrates compilation of Delta Lake core, connectors, and multi-language bindings across…
  • PROTOCOL.md — Formal specification of Delta Lake transaction log protocol, critical for all connector implementations to ensure…
  • connectors/golden-tables/src/main/resources/golden — Golden test datasets for connector validation across decimal handling, iterator bugs, and checkpoint scenarios.
  • README.md — Entry point documenting Delta Lake's Lakehouse architecture, supported compute engines (Spark, Presto, Flink, Trino, Hive),…
  • CONTRIBUTING.md — Developer guidelines covering contribution workflow, testing expectations, and code standards for the multi-language Delta…

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: git clone https://github.com/delta-io/delta.git && cd delta. Build using SBT (Scala build tool): ./build/sbt build or sbt build (SBT launcher present in build/ directory). Verify using build.…

Daily commands:

Exact run commands are not visible in provided data. Verify the build.sbt file and repository-level documentation for dev-mode instructions. Likely: ./build/sbt test for unit tests, or ./build/sbt run for specific m…

…shortened for this brief.

Key cautions & unknowns

  • SBT build caching can cause stale artifacts; ensure ./build/sbt clean before major version changes. Golden-table test fixtures in binary .parquet format are checked in and version-locked; regenerating them requires…
  • 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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