StarRocks/starrocks
GitHubThe world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
- analytics
- big-data
- cloudnative
- database
- datalake
- delta-lake
- distributed-database
- hudi
- iceberg
- join
- lakehouse
- lakehouse-platform
- mpp
- olap
- real-time-analytics
- real-time-updates
- realtime-database
- sql
- star-schema
- vectorized
- Stars:
- 12.2k
- Language:
- Java
- Default branch:
- main
- Last scored:
At a glance
- Rank
- #280 of 401
- #14 of 28 Java repos
- Checks passed
- 7 of 17
- Full list below
- Best set up for
- Claude Code
- Score 68.8
- Needs most work for
- Cursor
- Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)
What it has
What it's missing
What to fix first
Showing fixes for Claude Code
- 1Dependency manifestCommit a proper manifest (package.json, pyproject.toml, Cargo.toml, go.mod, etc.) plus a lockfile.+9.2 pts
- 2Type configurationAdd a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.+7.9 pts
- 3Pre-commit / git hooksSet up pre-commit (.pre-commit-config.yaml), husky, or lefthook to run format+lint on every commit.+5.3 pts
Score for each AI agent
Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →
Does StarRocks/starrocks have agent instructions?
An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.
- AGENTS.md / CLAUDE.md
AGENTS.md(new tab) · 4,467 characters- Agent-specific files
- None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
- Repos that have one
- 19 of 28 Java repos · 221 of 401 repos on the leaderboard · See examples →
All 17 checks · 7 passed
How StarRocks/starrocks compares
- vs leaderboard average
- 6.1 pts below
- Average 66.8
- vs Java average
- 0.5 pts below
- Average 61.2
- Stars among Java repos
- #19 of 28
Missing here, and how many repos have it
- Dependency manifest · passed by 92% of leaderboard repos, 89% of Java repos
- Type configuration · passed by 68% of leaderboard repos, 89% of Java repos
- Pre-commit / git hooks · passed by 29% of leaderboard repos, 4% of Java repos
One fix for the most agents: Type configuration would raise the score for all 9 agents, by up to 11.5 points.
Similar repos
Same language and host as this repo, closest in overall score.
- apache/beam62.0Java · 8.7k ★
- questdb/questdb61.9Java · 17.5k ★
- netty/netty60.5Java · 35.1k ★
- Java · 13.3k ★
- apache/iceberg60.5Java · 9.4k ★
- Java · 78.5k ★
Same topics, any language
Repos tagged with the same GitHub topics, most shared first.
- trinodb/trino58.6Java · analytics, big data, database, datalake, delta lake, distributed database, iceberg, SQL
- apache/doris51.2Java · database, delta lake, hudi, iceberg, lakehouse, olap, SQL
- C++ · analytics, big data, database, lakehouse, mpp, olap, SQL
- Rust · database, distributed database, realtime database, SQL
- duckdb/duckdb70.2C++ · analytics, database, olap, SQL
- delta-io/delta81.2Scala · analytics, big data, delta lake
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[](https://agentfriendlycode.com/repo/github/StarRocks/starrocks)Check the score on every pull request
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