Awesome List Updates on Jul 02, 2025
10 awesome lists updated today.
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1. Awesome Godot
Plugins and scripts / Godot 4
- Beehave (⭐2.5k) - Enables you to create robust NPC AI systems using behavior trees.
Other / Godot version unknown
- gdvm (GitHub (⭐20)) - Command-line version manager for Godot Engine, allowing you to easily install and switch between different Godot versions on Windows, macOS, and Linux (x86, x86_64, and ARM64).
2. Awesome Rust
Applications / Productivity
- kruserr/hygg (⭐34) [hygg] - 📚 Simplifying the way you read. Minimalistic Vim-like TUI document reader.
3. Awesome Zsh Plugins
- Plugin Management: Install and manage plugins easily.
- Theme Customization: Apply a variety of Zsh themes.
- Backup and Restore: Safeguard your .zshrc configurations.
- Interactive CLI: User-friendly setup options.
- Dependency Management: Automatically checks for Git, Node.js, and Homebrew.
Plugins / superconsole - Windows-only
- flutter-zsh-shortcuts (⭐0) - Adds clean aliases for flutter commands.
- git-plugin-cheatsheet (⭐0) - Displays the aliases and functions available from the
gitoh-my-zsh plugin.
Completions / superconsole - Windows-only
- justfile (⭐0) - Adds tab completions for just (⭐26k).
- tio (⭐0) - Add tab completions for tio
Themes / superconsole - Windows-only
- dalailahner (⭐0) - Minimalist theme with decorators for
gitstatus, for VCS status (based on Bart Trojanowski's zsh prompt), username and current directory. Based on Steve Losh's Prose (⭐350) theme.
4. Guides
Programming Languages / Perl
5. Awesome Polars
Talks and videos / Miscellaneous
- Polars - Talk Python To Me Ep.402 ⏳ 69 min - A video in which Ritchie Vink gives a look at Polars by Talk Python To Me.
- 10 Polars Tools and Techniques To Level Up Your Data Science - Talk Python To Me Ep.510 ⏳ 58 min - A video in which Christopher Trudeau shares his recent work with Polars and highlights a collection of complementary Polars extensions and libraries by Talk Python To Me.
6. Awesome Ai in Finance
Agents
- TradingAgents (⭐14k) - Multi-Agents LLM Financial Trading Framework.
7. Awesome Angular
Exercises / Google Developer Experts
- modern-angular-exercises (⭐4) - Exercises on various Angular topics, including solutions and solution videos.
Online Training / Google Developer Experts
- Angular Start - Learn to build professional-grade Angular applications using new features with modern best practices.
- @angular/examples (⭐244) - Angular Examples using GenKit and Vertex AI.
- Frontend AI - Ask for a component or upload an image, and instantly receive ready-to-use code without lifting a finger.
8. Awesome Osint
Speciality Search Engines
- MalwareBazaar - Search and download confirmed malware samples by hash, family, tag, and other criteria.
9. Awesome Agi Cocosci
Domain Specific Language / Declarative DSL Applications
- Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars - International Journal of Computer Vision, 2018. [All Versions]. [Preprint]. This work proposes a systematic learning-based approach to the generation of massive quantities of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with associated ground truth information, for the purposes of training, benchmarking, and diagnosing learning-based computer vision and robotics algorithms. In particular, the authors devise a learning-based pipeline of algorithms capable of automatically generating and rendering a potentially infinite variety of indoor scenes by using a stochastic grammar, represented as an attributed Spatial And-Or Graph, in conjunction with state-of-the-art physics-based rendering. The pipeline is capable of synthesizing scene layouts with high diversity, and it is configurable inasmuch as it enables the precise customization and control of important attributes of the generated scenes. It renders photorealistic RGB images of the generated scenes while automatically synthesizing detailed, per-pixel ground truth data, including visible surface depth and normal, object identity, and material information (detailed to object parts), as well as environments (e.g., illuminations and camera viewpoints). The authors demonstrate the value of the synthesized dataset, by improving performance in certain machine-learning-based scene understanding tasks—depth and surface normal prediction, semantic segmentation, reconstruction, etc.---and by providing benchmarks for and diagnostics of trained models by modifying object attributes and scene properties in a controllable manner.
10. Awesome Cpp
Graphics
- olive.c (⭐2.1k) - Simple 2D Graphics Library. [MIT]
- Prev: Jul 03, 2025
- Next: Jul 01, 2025