Who should use rHEALPixDGGS?

rHEALPixDGGS is an open-source project built for geospatial developers and researchers.

Is rHEALPixDGGS free?

Yes — rHEALPixDGGS is open source under the LGPL-3.0-or-later OR MIT license and free to use.

What platforms does rHEALPixDGGS run on?

rHEALPixDGGS runs on the command line. It can also be self-hosted.

Is rHEALPixDGGS still active?

The GitHub repository shows 146 commits in the last 90 days.

What are alternatives to rHEALPixDGGS?

Similar projects tracked by PulseGate include Componentry, WuYueSDK, and coros-training-mcp.

Who makes rHEALPixDGGS?

rHEALPixDGGS is developed by Manaaki Whenua – Landcare Research.

How long has rHEALPixDGGS been around?

rHEALPixDGGS first shipped in 2020.

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rHEALPixDGGS

Name: rHEALPixDGGS
Author: Manaaki Whenua – Landcare Research

PyPIInfrastructure

rHEALPixDGGS is an open-source Python implementation of the rHEALPix discrete global grid system. It provides geospatial developers and researchers with tools for spatial indexing and global grid operations.

Open SourceLGPL-3.0-or-later OR MITCLISelf-hosted

Visit PyPI

22stars

9forks

5features

2020since

Overview

5 features

rHEALPixDGGS sits in PulseGate's Frameworks & SDKs category. It focuses on implementing and working with rHEALPix discrete global grid systems for geospatial applications. It is built as an open-source project for geospatial developers and researchers. The project is open source (LGPL-3.0-or-later OR MIT). rHEALPixDGGS is available on the command line, and it can be self-hosted.

It is developed by Manaaki Whenua – Landcare Research, and it first shipped in 2020. Development happens publicly on GitHub with 22 stars and 146 commits in the last 90 days. Key capabilities include global grid system, spatial indexing, and geospatial operations.

Summary written by a language model from the project’s public pages.

Global grid system
Spatial indexing
Geospatial operations
Python package
Reference system support

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

LGPL-3.0-or-later OR MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 22Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed4 Sept · 08:01 UTC
rHEALPixDGGS verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about rHEALPixDGGS

What is rHEALPixDGGS?: RHEALPixDGGS focuses on implementing and working with rHEALPix discrete global grid systems for geospatial applications. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use rHEALPixDGGS?: rHEALPixDGGS is an open-source project built for geospatial developers and researchers.
Is rHEALPixDGGS free?: Yes — rHEALPixDGGS is open source under the LGPL-3.0-or-later OR MIT license and free to use.
What platforms does rHEALPixDGGS run on?: rHEALPixDGGS runs on the command line. It can also be self-hosted.
Is rHEALPixDGGS still active?: The GitHub repository shows 146 commits in the last 90 days.
What are alternatives to rHEALPixDGGS?: Similar projects tracked by PulseGate include Componentry, WuYueSDK, and coros-training-mcp.Componentry WuYueSDK coros-training-mcp
Who makes rHEALPixDGGS?: rHEALPixDGGS is developed by Manaaki Whenua – Landcare Research.
How long has rHEALPixDGGS been around?: rHEALPixDGGS first shipped in 2020.

At a glance

Platforms: CLI
Languages: English
Open source: Yes · ★ 22
License: LGPL-3.0-or-later OR MIT
First seen: 4 Sept 2026
Built for: geospatial developers and researchers
Model: Open source
Solves: Implementing and working with rHEALPix discrete global grid systems for geospatial applications.

Registered as

GitHub: manaakiwhenua/rhealpixdggs-py
PyPI: rHEALPixDGGS

Developer

Manaaki Whenua – Landcare Research

Team

GitHub

Open source

View on GitHub

Stars: 22
Forks: 9
Open issues: 9
Last commit: 4 Sept 2026
Commits 90d: 146
Contributors: 8
Authorship: Team
Default branch: master
Latest release: v0.8.1 · 4 Sept 2026

Index record

Indexed: 4 Sept 2026
Lifecycle: Alive
First seen: Sept 2026
Last seen: 4 Sept 2026

Identity audit (13)

Slug: rhealpixdggs-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 Sept 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 4 Sept 2026
Canonical URL: https://pypi.org/project/rHEALPixDGGS

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