Awesome List Updates on Apr 09, 2025

9 awesome lists updated today.

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1. Awesome Web Archiving

Tools & Software / Search & Discovery

• Shine (⭐43) - A prototype web archives exploration UI, developed with researchers as part of the Big UK Domain Data for the Arts and Humanities project. (Stable)

• SolrWayback (⭐117) - A backend Java and frontend VUE JS project with freetext search and a build in playback engine. Require Warc files has been index with the Warc-Indexer. The web application also has a wide range of data visualization tools and data export tools that can be used on the whole webarchive. SolrWayback 4 Bundle release (⭐117) contains all the software and dependencies in an out-of-the box solution that is easy to install.

• Warclight (⭐50) - A Project Blacklight based Rails engine that supports the discovery of web archives held in the WARC and ARC formats. (In Development)

• Wasp (⭐27) - A fully functional prototype of a personal web archive and search system. (In Development)

• Other possible options for builting a front-end are listed on in the webarchive-discovery wiki, here (⭐127).

2. Awesome Angular

Module Federation / Google Developer Experts

• ngx-mfe (⭐24) - Angular library for working with micro-frontends in Webpack 5 and plugin ModuleFederation.

Payments / Google Developer Experts

• izipay (⭐0) - Integrate Izipay into your project with minimal configuration and an integrated proxy.

Icons / Google Developer Experts

• ngxi (⭐2) - A comprehensive collection of SVG icons for Angular applications that provides seamless integration with thousands of popular icons.

Mixed utilities / Google Developer Experts

• mmstack (⭐16) - A monorepo for mmstack libraries.

3. Awesome Firebase Genkit

Plugins / JavaScript - Official

• Monitoring Plugins
  • @genkit-ai/google-cloud - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.

Plugins / JavaScript - Community

• Model / Embedding Plugins
  • genkitx-github - Plugin for GitHub Models APIs.
  • genkitx-anthropic - Plugin for Anthropic AI APIs.
  • genkitx-cohere - Plugin for Cohere APIs.
  • genkitx-groq - Plugin for Groq APIs.
  • genkitx-mistral - Plugin for Mistral AI APIs.
  • genkitx-openai - Plugin for OpenAI APIs.
  • genkitx-azure-openai - Plugin for Azure OpenAI APIs.
  • genkitx-aws-bedrock - Plugin for AWS Bedrock APIs.
  • genkitx-deepseek - Plugin for Deepseek Cloud APIs.
  • genkitx-huggingface - Plugin for Hugging Face Inference APIs.

• Other Plugins
  • genkitx-graph - Plugin for building Graph workflows.
  • @invertase/genkit-plugin-redis - A Redis Plugin for Genkit that adds Redis for efficient state storage, trace storage, caching, and rate limiting.
  • genkitx-rxjs - A simple RxJS helper/adapter for Genkit.
  • @agentic/genkit - Agentic Tools adapter for the Genkit SDK.

Plugins / Python - Official

• Model / Embedding Plugins
  • google-genai - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI models.
  • ollama - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.

• Vector Store Plugins
  • firestore - The Firestore plugin provides interfaces to the Firestore vector store.
  • dev_local_vectorstore - Plugin for Local Vector Store for development purposes.

• Other Plugins:
  • flask - Flask plugin for building web applications with Genkit.

Plugins / Golang - Official

• Vector Store Plugins
  • pinecone - Plugin for Pinecone Vector Stores.
  • localvec - Plugin for Local Vector Store for development purposes.
  • pgvector - Plugin for PostgreSQL (PGVector) Vector Stores.

• Monitoring Plugins
  • googlecloud - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.

API References / Dart - Official

• JavaScript - Specs for the JavaScript API.

• Python - Specs for the Python API.

• Golang - Specs for the Golang API.

Talks / Dart - Official

• Supercharge your app with Genkit - A talk on how to supercharge your app with Genkit.

• Accelerating Generative AI App Development with Flutter & Genkit - Slides from a presentation at FlutterGakkai, a Flutter conference in Japan, showcasing how to integrate Genkit with Flutter for rapid generative AI app development.

Videos / Dart - Official

• Firebase After Hours #3 - Genkit: More than Meets the AI! (outdated) - Hang out with Nohe and Peter to learn more about Genkit, Google's open source AI integration framework. With special guest Pavel Jbanov, lead engineer on the Genkit team.

Articles / Dart - Official

• Build Genkit Node.js apps with Dash Agents - A step-by-step guide to building Genkit Node.js apps by leveraging Dash Agents.

• Genkit with Gemma using Ollama - Firebase project that uses the Gen AI Kit with Gemma using Ollama.

• How to Develop Firebase functions with Genkit - A practical guide to efficient local testing of Firebase Functions with Genkit Firebase product integrations.

• Genkit for Go Developers: A Guide to Building LLM Applications - A getting started guide for Go developers using Genkit.

• Getting Started with AI Image Generation Apps on Flutter, Genkit, and Imagen 3 - A guide to building an AI image generation app using Flutter, Genkit, and Google's Imagen 3.

Tutorials / Dart - Official

• Slack Bot App - A tutorial on how to build a Slack Bot App with Genkit.

4. Awesome Generative Deep Art

Everything to Markdown to LLMs

• LLMSTXT.NEW: Generate consolidated text files from websites for LLM training and inference – Powered by Firecrawl

Text-to-speech (TTS) and avatars / Deforum

• COVAL: architecture of voice AI, from speech recognition to emotional intelligence, and learn how to build, scale, and evaluate them

5. Awesome Cl

Miscellaneous

• Barium - an X widget toolkit, directly accessing the X client library and other platform libraries (OpenGL, Cairo). MIT.
  • not a wrapper of another toolkit. Allows incremental GUI development.
  • new as of April, 2025.

Web views

• Electron-lisp-boilerplate (⭐11) - a rudimentary boilerplate for building Electron apps that start a Lisp process.

• ceramic - a wrapper around simpler tools to create and build an Electron app for Common Lisp. It is currently broken and unmaintained, but some tools are workth having a look at.

• NOTE: the main idea in embedding a lisp web app in Electron is to start the lisp webserver as an async process from Electron's main.js file, and to point the Electron window to the localhost URL. That's it.

• cl-webui (⭐31) - bindings for webui, that allows to use any web browser or WebView as GUI.

• clogframe (⭐1.6k) - an executable wrapper for webview.h, allowing to display any web application served by a Common Lisp server.
  • clogframe does not induce the use of the whole CLOG framework.

6. Awesome Quant

Python / Trading & Backtesting

• rust_bt (⭐15) - A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.

Python / Data Sources

• Financial Data - Stock Market and Financial Data API.

• SaxoOpenAPI - Saxo Bank financial data API.

7. Awesome Naming

Tools, Applications, Libraries, Frameworks

• corrosion (⭐1.3k) - The process that turns metal into rust (literally) but also a tool that "turns" C++ into Rust.

8. Awesome Agi Cocosci

Abduction / Scientific Discovery

• Complexity Management in a Discovery Task - CogSci'92, 1992. [All Versions]. Previous psychological research about scientific discovery has often focused on subjects' heuristics for discovering simple concepts with one relevant dimension or a few relevant dimensions with simple two-way interactions. This paper presents results from an experiment in which subjects had to discover a concept involving complex three-way interactions on a multi-valued output by running experiments in a computerized microworld. Twenty-two CMU undergraduates attempted the task, of which sixteen succeeded, in an average of 85 minutes. The analyses focus on three strategies used to regulate task complexity. First, subjects preferred depth-first to breadth-first search, with successful subjects regulating the number of features varied from experiment to experiment most effectively. Second, subjects systematically regulated the length of their experiments. Third, a new explicit search heuristic (Put Upon Stack Heuristic) used by successful subjects is described.

Abduction / Rationalization

• Why Imaginary Worlds? The psychological foundations and cultural evolution of fictions with imaginary worlds - Behavioral and Brain Sciences, 2021. [All Versions]. Imaginary worlds are extremely successful. The most popular fictions produced in the last few decades contain such a fictional world. They can be found in all fictional media, from novels (e.g., Lord of The Rings and Harry Potter) to films (e.g., Star Wars and Avatar), video games (e.g., The Legend of Zelda and Final Fantasy), graphic novels (e.g., One Piece and Naruto), and TV series (e.g., Star Trek and Game of Thrones), and they date as far back as ancient literature (e.g., the Cyclops Islands in The Odyssey, 850 BCE). Why such a success? Why so much attention devoted to non-existent worlds? In this paper, the authors propose that imaginary worlds co-opt our preferences for exploration, which have evolved in humans and nonhuman animals alike, to propel individuals toward new environments and new sources of reward. Humans would find imaginary worlds very attractive for the very same reasons, and under the same circumstances, as they are lured by unfamiliar environments in real life. After reviewing research on exploratory preferences in behavioral ecology, environmental esthetics, neuroscience, and evolutionary and developmental psychology, the authors focus on the sources of their variability across time and space, which they argue can account for the variability of the cultural preference for imaginary worlds. This hypothesis can, therefore, explain the way imaginary worlds evolved culturally, their shape and content, their recent striking success, and their distribution across time and populations.

9. Awesome Integration

Projects / Data Mapping Solution

• JOLT (⭐1.6k) (⭐1.6k) - Java-based JSON transformation library that uses a specification-driven approach for effortless JSON-to-JSON conversions.

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