Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/mozilla/bigquery-etl?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/mozilla/bigquery-etl?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mozilla/bigquery-etl?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mozilla/bigquery-etl?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#732
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
bigquery-etl gained 10 stars in the last 30 days, about 1 a day, and now has 340. It is about 8 years old and has averaged roughly 43 stars a year. It ranks #732 among Python repositories and #5,968 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#5372
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
bigquery-etl has maintained a continuous presence across global trending indexes, peaking at #5372. Below is the 30-day activity profile:
💡 Overview
bigquery-etl is an open-source project written in Python: Bigquery ETL.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python 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
$ pip install bigquery-etl⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
bigquery-etl coordinates its core functionality through a modular Python 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 bigquery-etl into Python 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 MPL-2.0 license.
🚀 Getting Started
Install bigquery-etl using your package manager: `pip install bigquery-etl`
Initialize your project workspace or configuration file for bigquery-etl.
Import bigquery-etl into your codebase or invoke it directly from your terminal.
Execute your test suite or run `bigquery-etl --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
mozilla/bigquery-etl is currently ranked #5,968 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,962 | Citrinate/FreePackages | C# | ★ 341 | Compare ↗ |
| #5,962 | Euterpe-org/Euterpe | C# | ★ 341 | Compare ↗ |
| #5,962 | snowflakedb/snowpark-python | Python | ★ 341 | Compare ↗ |
| #5,962 | dbr/tvdb_api | Python | ★ 341 | Compare ↗ |
| #5,962 | wilsonglasser/oryxis | Rust | ★ 341 | Compare ↗ |
| #5,968 | mozilla/bigquery-etl This Project | Python | ★ 340 | |
| #5,968 | wycats/merb | Ruby | ★ 340 | Compare ↗ |
| #5,968 | AzureAD/microsoft-authentication-library-for-java | Java | ★ 340 | Compare ↗ |
| #5,968 | richardwilkes/unison | Go | ★ 340 | Compare ↗ |
| #5,968 | robertknight/rten | Rust | ★ 340 | Compare ↗ |
| #5,968 | seaweedfs/seaweedfs-operator | Go | ★ 340 | Compare ↗ |
Frequently Asked Questions
What does bigquery-etl do? +
Bigquery ETL
What language is bigquery-etl written in? +
The primary language is Python. Topics include: software.
Is bigquery-etl actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 249 open issues being tracked.
How many stars does bigquery-etl have? +
bigquery-etl has 340 stars and 156 forks on GitHub.
How does bigquery-etl rank among GitHub repositories? +
With 340 stars, mozilla/bigquery-etl is ranked #5,968 globally across all repositories tracked on GitHubRepo and #732 among Python projects.
What license is bigquery-etl distributed under? +
The repository reports a MPL-2.0 license. Always verify the repository LICENSE file for legal terms.
