lumenpyx VS bevy_retro

Compare lumenpyx vs bevy_retro and see what are their differences.

lumenpyx

A unique 2D-pixel art renderer with heightmaps to simulate 3d shadows and reflections (by ABC-Engine)
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lumenpyx bevy_retro
1 5
25 295
- 0.7%
9.0 4.0
10 days ago 7 months ago
Rust Rust
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lumenpyx

Posts with mentions or reviews of lumenpyx. We have used some of these posts to build our list of alternatives and similar projects.

bevy_retro

Posts with mentions or reviews of bevy_retro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-09.

What are some alternatives?

When comparing lumenpyx and bevy_retro you can also consider the following projects:

rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.

bevy_tilemap - Tilemap with chunks for the Bevy game engine.

bevy - A refreshingly simple data-driven game engine built in Rust

dalle-2-preview

gpt-3 - GPT-3: Language Models are Few-Shot Learners

community-events - Place where folks can contribute to 🤗 community events

dalle-mini - DALL·E Mini - Generate images from a text prompt

sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"

glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model

v-diffusion-pytorch - v objective diffusion inference code for PyTorch.

lm-human-preferences - Code for the paper Fine-Tuning Language Models from Human Preferences