Awesome List Updates on Jun 28, 2025
7 awesome lists updated today.
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1. Awesome Typescript
Standalone apps / Playground
- 🐙 Peekaping (⭐411) - Uptime monitoring solution - Monitor websites, APIs, and services with real-time notifications, beautiful status pages, and comprehensive analytics
2. Awesome Datascience
General Machine Learning Packages / Deep Learning architectures
3. Awesome Opentofu
Official
Features
Tools / Registry
- tofuref (⭐13) - TUI for OpenTofu provider registry.
Tools / Helpers
- OpenTofu Language Server (⭐95) - OpenTofu Language Server.
- VS Code Extension - Extension for Visual Studio Code with the OpenTofu Language Server adds editing features for OpenTofu files such as syntax highlighting, IntelliSense, code navigation, code formatting, module explorer.
Media / Helpers
4. Awesome Selfhosted
Software / Note-taking & Editors
- TriliumNext Notes (⭐29k) - Cross-platform hierarchical note taking application with focus on building large personal knowledge bases (fork of Trilium Notes).
AGPL-3.0Nodejs/Docker/K8S
5. Awesome Svelte
Miscellaneous
- Edra - Best Rich Text Editor, made for Svelte Developers with Tiptap.
Routers / Form Components
- sv-router (⭐80) - Type-safe SPA router with file-based or code-based routing.
6. Awesome Angular
Books / Google Developer Experts
- Angular Signals Masterclass -
Kevin Kreuzer
- Mastering Angular Signals: A Practical Guide to Modern Reactivity, Performance, and Migration -
Muhammad Ahsan Ayaz
- gitingest - Turn any Git repository into a simple text digest of its codebase. This is useful for feeding a codebase into any LLM.
Developer tools / Google Developer Experts
- vscode-angular-auto-import (⭐2) - Automatically suggests and inserts missing Angular component imports based on selectors used in templates.
Captcha / Google Developer Experts
- yandex-smart-captcha (⭐4) - An Angular library for integrating Yandex SmartCaptcha into your applications. This package provides Angular components that wrap the Yandex SmartCaptcha JavaScript library, supporting both standard and invisible captchas. It leverages Angular’s reactive forms (via ControlValueAccessor and Validator) and modern features like signals and effects (with zoneless support).
Charts / Google Developer Experts
- amcharts5 (⭐398) - The newest, fastest, and most advanced amCharts charting library for JavaScript and TypeScript apps. Check out the Angular integration guide to get started. Additionally, older versions are still being updated to support newer releases of Angular.
CSV / Google Developer Experts
- ngx-export-as (⭐70) - Angular 2+ / Ionic 2+ HTML/table element to export it as JSON, XML, PNG, CSV, TXT, MS-Word, Ms-Excel, and PDF.
- ng2csv (⭐7) - Angular service for saving data to CSV file.
- ngx-csv-parser (⭐25) - CSV Parser for Angular by Developers Hive.
- rm-ng-export-to-csv (⭐4) - A lightweight and customizable Angular library to export JSON data to CSV files with auto-download support. Ideal for charts, tables, reports, and dashboards.
DOM / Google Developer Experts
- memoize-pipe (⭐3) - A universal pipe for memoizing computations in Angular templates.
Form Controls / Google Developer Experts
- rm-ng-star-rating (⭐4) - A fully customizable and feature-rich Angular standalone component for advanced star ratings with precision and responsive design.
Validation / Google Developer Experts
- translation-validation (⭐4) - Automatic validation messages for Angular forms in any language.
7. Awesome Agi Cocosci
Domain Specific Language / Logic DSL Applications
- Meta-analysis of the functional neuroimaging literature with probabilistic logic programming - Scientific Reports, 2022. [All Versions]. Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis. However, existing meta-analysis tools are limited to investigating simple neuroscience concepts and expressing a restricted range of questions. This work expands the scope of neuroimaging meta-analysis by designing NeuroLang: a domain-specific language to express and test hypotheses using probabilistic first-order logic programming. By leveraging formalisms found at the crossroads of artificial intelligence and knowledge representation, NeuroLang provides the expressivity to address a larger repertoire of hypotheses in a meta-analysis, while seamlessly modeling the uncertainty inherent to neuroimaging data. The authors demonstrate the language’s capabilities in conducting comprehensive neuroimaging meta-analysis through use-case examples that address questions of structure-function associations. Specifically, the authors infer the specific functional roles of three canonical brain networks, support the role of the visual word-form area in visuospatial attention, and investigate the heterogeneous organization of the frontoparietal control network.
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