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opendatacube/datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

Python ◇ gdal Apache-2.0
★595STARS
⑂190FORKS
!89ISSUES
🏆#11,361GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

datacube-core is datacube-core is an open-source project written in Python: Open Data Cube analyses continental scale Earth Observation data through time..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), opendatacube/datacube-core has accumulated 595 GitHub stars and 190 forks. It is written in Python, licensed under Apache-2.0, and ranks #11,361 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository opendatacube/datacube-core ↗
Primary Category gdal
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 595 stars · ⑂ 190 forks · #11,361 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 89 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is datacube-core actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, datacube-core is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (9 days ago). Supported by 595 stars and 190 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 3, 2026
9 days since last push
Issue Backlog
89 Open Issues
Healthy Issue Cadence
Community Backing
190 Forks
595 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
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Momentum

+7

STARS · LAST 30 DAYS

1

PER DAY

#1,568

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+7+90
Per day111
Forks gained+0+2+10

datacube-core gained 7 stars in the last 30 days, about 1 a day, and now has 595. It is about 12 years old and has averaged roughly 50 stars a year. It ranks #1,568 among Python repositories and #11,361 across all languages on GitHubRepo.

Trending Record

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install datacube-core using your package manager: `pip install datacube-core`

2

Initialize your project workspace or configuration file for datacube-core.

3

Import datacube-core into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `datacube-core --help` to verify successful setup.

👍 Strengths

Active community backing with 588 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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 #11,361 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,347 safe-global/safe-wallet-monorepo TypeScript ★ 596 Compare ↗
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#11,347 stevius10/Proxmox-GitOps Ruby ★ 596 Compare ↗
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#11,347 atlas-vtt/atlas-vtt TypeScript ★ 596 Compare ↗
#11,361 opendatacube/datacube-core This Project Python ★ 595
#11,361 gambitproject/gambit C++ ★ 595 Compare ↗
#11,361 Shopify/statsd-instrument Ruby ★ 595 Compare ↗
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Frequently Asked Questions

What does datacube-core do? +

Open Data Cube analyses continental scale Earth Observation data through time

Is datacube-core actively maintained in 2026? +

Yes, datacube-core is actively maintained. The latest code push was recorded on Nov 3, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 595 stars and 89 open issues.

What language is datacube-core written in? +

The primary language is Python. Topics include: gdal, gis, hacktoberfest, netcdf, numpy.

How many stars does datacube-core have? +

datacube-core has 595 stars and 190 forks on GitHub.

How does datacube-core rank among GitHub repositories? +

With 595 stars, opendatacube/datacube-core is ranked #11,361 globally across all repositories tracked on GitHubRepo and #1,568 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.

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