Draft:Arnis (software)
Submission declined on 10 March 2025 by Caleb Stanford (talk).
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Comment: AI issues aside, this might be a case of slightly WP:TOOSOON - the tool is super cool and I think it might merit an article, but the current references lean too heavily on GitHub/hackernews. Right now it looks like MSN, XDA, Tom's Hardware, and Hackaday are the high quality sources.Some things to fix:* I'm getting AI alarms for some sentences, like "Rust’s inherent support for concurrency and its efficient memory management model are critical for processing the vast amounts of data necessary to generate detailed and accurate Minecraft worlds." What does this add? It's a lot of fluff without actually saying much.* The whole paragraph on "Arnis has attracted positive attention within technology and gaming communities." looks like it was written by AI. Please use clear and technical language. For example, I have no idea what "underscoring its potential for both creative exploration and educational applications" is supposed to be telling me.* Please add inline citations for all sentences.* Please add additional wikilinked words. For example, Overpass API , OpenStreetMap, etc. Caleb Stanford (talk) 07:27, 10 March 2025 (UTC)
| Developer(s) | Louis Erbkamm |
|---|---|
| Stable release | v2.2.0
|
| Written in | Rust |
| Operating system | Cross-platform (Windows, macOS, Linux) |
| Type | Minecraft map generator |
| License | Apache License 2.0 |
| Website | GitHub repository |
Arnis is an open-source software tool that generates detailed replicas of real-world locations in Minecraft Java Edition using geospatial data from OpenStreetMap.
Overview
[edit]Arnis converts geospatial data obtained via the Overpass API into Minecraft-compatible world files compatible with Minecraft’s terrain generation system.[1] Originally implemented in Python, the tool was later re-implemented in Rust to benefit from enhanced performance and improved memory safety when managing large-scale geospatial datasets.[2]
Development
[edit]Originally conceived as a personal project, Arnis has evolved into a community-driven open-source initiative. The initial Python implementation established the basic framework for automated world generation. As performance constraints became evident, the project was re-implemented in Rust with its major release (v2.0.0), which significantly enhanced speed, modularity, and scalability. Subsequent updates have been shaped by contributions from a diverse community of developers. Recent development efforts have focused on refining data processing pipelines, incorporating elevation data, and further optimizing the conversion of OSM elements into Minecraft structures.[3]
Technical Details
[edit]Arnis retrieves geospatial data by querying the Overpass API for relevant OpenStreetMap elements—including nodes, ways, and relations. The tool performs a coordinate transformation that maps geographic positions into Minecraft’s block coordinate system. Its modular processing pipeline involves several stages: data extraction, transformation, element prioritization, and the generation of a foundational terrain layer. Specialized processing modules handle various OSM elements (e.g., building footprints, road networks, natural features) to ensure that overlapping elements are rendered in the proper sequence. Rust’s inherent support for concurrency and its efficient memory management model are critical for processing the vast amounts of data necessary to generate detailed and accurate Minecraft worlds.[4]
Reception and Coverage
[edit]Arnis has attracted positive attention within technology and gaming communities. Coverage in online outlets such as XDA Developers, Tom's Hardware and MSN have highlighted the tool’s approach to reconstructing real-world environments in Minecraft, underscoring its potential for both creative exploration and educational applications. A research publication on game-based learning for flood mitigation has further discussed Arnis within the broader context of integrating geospatial data into interactive digital environments.[5][6][7] Despite the generally favorable reception, some critics have noted that the quality of the generated maps can vary depending on the completeness and accuracy of the underlying OpenStreetMap data, leading to occasional inconsistencies in detail.
In January 2025, Arnis was listed as one of GitHub’s trending repositories.[8] As of March 10, 2025, Arnis has been downloaded 181,125 times.[9]
Licensing
[edit]Arnis is distributed under the Apache License 2.0, ensuring that it remains free and open-source. The licensing model encourages community contributions and permits developers to modify and extend the software for various applications.
External Links
[edit]References
[edit]- ^ "Arnis on GitHub". GitHub. Retrieved 2025-03-09.
- ^ "Bringing OpenStreetMap Data Into Minecraft". Hackaday. 2024-12-30. Retrieved 2025-03-09.
- ^ "Minecraft Tool Lets You Create Scale Replicas of Real-World Locations". Tom's Hardware. January 2025. Retrieved 2025-03-09.
- ^ "Hometown Minecraft Map: Arnis". XDA Developers. 30 December 2024. Retrieved 2025-03-09.
- ^ "Minecraft Tool Lets You Create Scale Replicas of Real-World Locations". MSN. Retrieved 2025-03-09.
- ^ "Discussion on Arnis on Hacker News". Hacker News. Retrieved 2025-03-09.
- ^ "Floodcraft: Game-based Interactive Learning Environment using Minecraft for Flood Mitigation and Preparedness for K-12 Education". Retrieved 2025-03-09.
- ^ "GitHub Trending Repositories". GitHub (archived). Archived from the original on 4 January 2025. Retrieved 2025-03-09.
- ^ "GitHub Release Statistics for Arnis". tooomm.github.io. Retrieved 2025-03-09.
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.