Awesome List Updates on Jun 26, 2025
12 awesome lists updated today.
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1. Awesome Godot
Plugins and scripts / Godot 4
- Scene Library (⭐75) - A tool for organizing Godot scenes with efficiency.
2. Magictools
Graphics / Vector/Image Editor
- 🆓 SVG to PNG - Batch convert unlimited SVGs to PNG rasters. Privacy-preserving, doesn't require uploading your assets.
3. Awesome Nix
NixOS Modules / Zig
- Stylix (⭐1.7k) - System-wide colorscheming and typography for NixOS.
4. Awesome Neovim
Fuzzy Finder / Diagnostics
- folke/snacks.nvim#picker (⭐5.4k) - Modern fuzzy-finder to navigate the Neovim universe.
Colorscheme Switchers / Diagnostics
- nishu-murmu/ThemeSwitch.nvim (⭐4) - Light weight color scheme switcher.
Editing Support / Diagnostics
- SunnyTamang/select-undo.nvim (⭐75) - Allow users to undo specific line/lines or partial selections without affecting the rest of the file.
5. Awesome Flame
App Releases / Casual
- CircleCapture Android iOS - Tap and drag to draw circles that capture floating particles. By MarioIannotta
6. Awesome European Tech
Index / Authenticators
- Aegis Authenticator 🇳🇱 - Free, secure, and open-source MFA authenticator for Android.
7. Free for Dev
Managed Data Services
- Prisma Postgres - Super fast hosted Postgres built on unikernels and running on bare metal, 1GB storage, 10 databases, integrated with Prisma ORM.
8. Awesome Rust
Libraries / Bioinformatics
- polars-bio (⭐69) - Blazing-Fast Bioinformatic Operations on Python DataFrames
- Rust-Bio - bioinformatics libraries.
9. Awesome Mac
Developer Tools / IDEs
- Windsurf - The first agentic IDE where developers and AI flow together for a magical coding experience.
Gaming Software / System Related Tools
- Ryubing - A fork of the discontinued Switch emulator, Ryujinx.
10. Awesome Angular
Server-Side Rendering / Google Developer Experts
- ngx-sitemaps (⭐2) - Generate sitemaps from Angular prerendered routes.
Helpers / Google Developer Experts
- ngx-testbox (⭐1) - A comprehensive testing utility library for Angular applications that simplifies test writing and improves test reliability. You will find this library useful for unit, integration, and e2e testing.
Layout Components / Google Developer Experts
- ngx-flex-layout (⭐22) - Port of @angular/flex-layout (⭐5.9k) to provide support after EOL.
Maps / Google Developer Experts
- ngx-leaflet (⭐795) - Core Leaflet package for Angular.
- ngx-leaflet-markercluster (⭐61) - Provides leaflet.markercluster (⭐4.1k) integration into Angular projects.
Modals / Google Developer Experts
- ngx-light-modal - A lightweight, dependency-free Angular modal package built with standalone components and fully dynamic rendering. It supports modal stacking, backdrop control, custom content components, and complete lifecycle observables — without requiring a host component in your templates.
Notifications / Google Developer Experts
- ngx-toastr-notifier (⭐1) - Lightweight, customizable toast notifications for Angular 20+. A modern replacement for toastr with Angular Material design and flexible APIs.
Material Based / Google Developer Experts
- Angular Material Dev UI - Angular Material Dev UI (or Angular Material Blocks) is one place stop for developers to explore components and blocks for their Angular Material and Tailwind CSS based applications.
11. Awesome Product Management
Product Fundamentals & Philosophy / Tability
Career Development & Skills / Tability
- The dark side of expertise - By Jake Edge.
Product Development & Process / Tability
Product Strategy & Planning / Tability
- On narratives - By Charlie Kindel.
Customer Research & User Experience / Tability
Team Collaboration & Leadership / Tability
- Being Glue - By Tanya Reilly.
- Remote teams - By Notion Team.
- Rickover's Lessons - By Lily Ottinger and Charles Yang.
Product Metrics & Analytics / Tability
Growth & Marketing / Tability
12. Awesome Agi Cocosci
Science Logology / AI Assisted Research
- Design of metalloproteins and novel protein folds using variational autoencoders - Scientific Reports, 2018. [All Versions]. The design of novel proteins has many applications but remains an attritional process with success in isolated cases. Meanwhile, deep learning technologies have exploded in popularity in recent years and are increasingly applicable to biology due to the rise in available data. This work attempts to link protein design and deep learning by using variational autoencoders to generate protein sequences conditioned on desired properties. Potential copper and calcium binding sites are added to non-metal binding proteins without human intervention and compared to a hidden Markov model. In another use case, a grammar of protein structures is developed and used to produce sequences for a novel protein topology. One candidate structure is found to be stable by molecular dynamics simulation. The ability of the model to confine the vast search space of protein sequences and to scale easily has the potential to assist in a variety of protein design tasks.
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