rocky-data/rocky
A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#446
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
rocky gained 10 stars in the last 30 days, about 1 a day, and now has 301. It is about 1 year old and has averaged roughly 301 stars a year. It ranks #446 among Rust repositories and #4,459 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#1771
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
rocky has maintained a continuous presence across global trending indexes, peaking at #1771. Below is the 30-day activity profile:
💡 Overview
rocky is an open-source project written in Rust: A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
Engineered for speed, consistency, and developer ease, it solves common hurdles in bigquery, column-lineage, dagster. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Rust for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ cargo install rocky⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
rocky coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed rocky into Rust backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install rocky using your package manager: `cargo install rocky`
Initialize your project workspace or configuration file for rocky.
Import rocky into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rocky --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
rocky-data/rocky is currently ranked #4,459 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,452 | ioBroker/ioBroker.admin | TypeScript | ★ 302 | Compare ↗ |
| #4,452 | yoshidan/google-cloud-rust | Rust | ★ 302 | Compare ↗ |
| #4,452 | elsa-workflows/elsa-studio | C# | ★ 302 | Compare ↗ |
| #4,452 | Tuinity/Moonrise | Java | ★ 302 | Compare ↗ |
| #4,452 | ScottRBK/forgetful | Python | ★ 302 | Compare ↗ |
| #4,459 | rocky-data/rocky This Project | Rust | ★ 301 | |
| #4,459 | jlouis/etorrent | Erlang | ★ 301 | Compare ↗ |
| #4,459 | jnunemaker/happymapper | Ruby | ★ 301 | Compare ↗ |
| #4,459 | latex3/fontspec | TeX | ★ 301 | Compare ↗ |
| #4,459 | urlaubsverwaltung/urlaubsverwaltung | Java | ★ 301 | Compare ↗ |
| #4,459 | divVerent/aaaaxy | Go | ★ 301 | Compare ↗ |
Frequently Asked Questions
What does rocky do? +
A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
What language is rocky written in? +
The primary language is Rust. Topics include: bigquery, column-lineage, dagster, data-contracts, data-engineering.
Is rocky actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 71 open issues being tracked.
How many stars does rocky have? +
rocky has 301 stars and 19 forks on GitHub.
How does rocky rank among GitHub repositories? +
With 301 stars, rocky-data/rocky is ranked #4,459 globally across all repositories tracked on GitHubRepo and #446 among Rust projects.
What license is rocky distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
