https://github.com/aggrathon/ludumdare44
My entry to the 44:th Ludum Dare game jam (compo rules)
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Keywords
Repository
My entry to the 44:th Ludum Dare game jam (compo rules)
Basic Info
- Host: GitHub
- Owner: Aggrathon
- License: mit
- Language: ShaderLab
- Default Branch: master
- Homepage: https://ldjam.com/events/ludum-dare/44/green-goo
- Size: 16.1 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Green Goo - Ludum Dare 44

Manipulate gravity to coordinate swarms of nano-robots in order to “greenify” a planet.
Fuel the expansion by spending your nano-robots to build mines on the asteroids.
This is my entry to the 44:th Ludum Dare game jam (compo rules).
Links
Development
This Ludum Dare I wanted to try using Unitys upcoming “Data Oriented Tech Stack”. This means the game can easily handle thousands of physics objects. The drawbacks are that the scope is more limited than originally envisioned and that I’m unable to do a WebGL build (multithreading not yet supported by WebAssembly).
A more thorough look into my experience can be found here, where I also describe an interesting technique for handling gravity (a vector field).
Tools Used
- Unity
- Visual Studio Code
- Blender
- Inkscape
- Abundant Music
- Audacity
Owner
- Name: Anton Björklund
- Login: Aggrathon
- Kind: user
- Company: @edahelsinki
- Repositories: 3
- Profile: https://github.com/Aggrathon
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0