opendatacube/datacube-core
Open Data Cube analyses continental scale Earth Observation data through time
Star History
Momentum
+15
STARS · LAST 30 DAYS
1
PER DAY
#415
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +15 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +4 | +10 |
datacube-core gained 15 stars in the last 30 days, about 1 a day, and now has 588. It is about 11 years old and has averaged roughly 53 stars a year. It ranks #415 among Python repositories and #3,379 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#2537
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
datacube-core has maintained a continuous presence across global trending indexes, peaking at #2537. Below is the 30-day activity profile:
💡 Overview
datacube-core is an open-source project written in Python: Open Data Cube analyses continental scale Earth Observation data through time.
Engineered for speed, consistency, and developer ease, it solves common hurdles in gdal, gis, hacktoberfest. 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 datacube-core⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datacube-core 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 datacube-core 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 Apache-2.0 license.
🚀 Getting Started
Install datacube-core using your package manager: `pip install datacube-core`
Initialize your project workspace or configuration file for datacube-core.
Import datacube-core into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datacube-core --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
opendatacube/datacube-core is currently ranked #3,379 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,371 | stevius10/Proxmox-GitOps | Ruby | ★ 590 | Compare ↗ |
| #3,375 | quran/quran-ios | Swift | ★ 589 | Compare ↗ |
| #3,375 | greymass/anchor | JavaScript | ★ 589 | Compare ↗ |
| #3,375 | chrissotraidis/kartpad | Python | ★ 589 | Compare ↗ |
| #3,375 | ViceVerse-cz/Serein | Rust | ★ 589 | Compare ↗ |
| #3,379 | opendatacube/datacube-core This Project | Python | ★ 588 | |
| #3,379 | Kototoro-app/Kototoro | Kotlin | ★ 588 | Compare ↗ |
| #3,381 | ant-research/AntOmniEvo | Python | ★ 587 | Compare ↗ |
| #3,382 | ganeti/ganeti | Python | ★ 586 | Compare ↗ |
| #3,382 | livepeer/go-livepeer | Go | ★ 586 | Compare ↗ |
| #3,382 | project-chip/rs-matter | Rust | ★ 586 | Compare ↗ |
Frequently Asked Questions
What does datacube-core do? +
Open Data Cube analyses continental scale Earth Observation data through time
What language is datacube-core written in? +
The primary language is Python. Topics include: gdal, gis, hacktoberfest, netcdf, numpy.
Is datacube-core actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 85 open issues being tracked.
How many stars does datacube-core have? +
datacube-core has 588 stars and 188 forks on GitHub.
How does datacube-core rank among GitHub repositories? +
With 588 stars, opendatacube/datacube-core is ranked #3,379 globally across all repositories tracked on GitHubRepo and #415 among Python projects.
What license is datacube-core distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
