Awesome List Updates on Jun 27, 2025
5 awesome lists updated today.
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1. Awesome Vue
Components & Libraries / Frameworks
- YummyAdmin (⭐29) - 📈 Free Vue Admin Panel based on Naive UI and TailwindCSS. fairly completed with beautiful design, RTL support, and multilingual. (MSW, Pinia, TS, UnoCss, Vite)
Components & Libraries / UI Utilities
- Enforma - UI agnostic, schema-ready form library for Vue 3. 30+ built-in validation rules. UI presets for Vuetify, PrimeVue and Quasar
2. Awesome Postgres
Contents / Optimization
- pgassistant (⭐1.4k) - A DB optimization dashboard for PostgreSQL with LLM and pgTune integration.
3. Awesome Angular
Security / Google Developer Experts
- SafeDep - SafeDep continuously scans open source code for vulnerabilities and malware, helping security engineering teams proactively mitigate inherited OSS risks.
Maps / Google Developer Experts
- 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.
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.
4. Awesome Neovim
Fuzzy Finder / Diagnostics
- folke/snacks.nvim#picker (⭐5.5k) - 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 (⭐76) - Allow users to undo specific line/lines or partial selections without affecting the rest of the file.
5. Free Programming Books (English, By Programming Language)
R / Tornado
- Behavior Analysis with Machine Learning Using R - Enrique Garcia Ceja (HTML) (CC BY-NC-ND)
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