Awesome List Updates on Sep 15 - Sep 21, 2025

22 awesome lists updated this week.

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1. Awesome Ada

Text Modes / Apache License

• doom-ada (⭐7) - Doom Emacs Ada language module with syntax highlighting, LSP and Alire support.

2. Awesome Windows

System Utilities

• Servy (⭐271) - A tool to turn any app into a native Windows service with powerful configuration and management options (a modern alternative to NSSM and WinSW).

3. Awesome Connectivity Info

Connectivity Maps

• Ookla Data for Good - Ookla maintain an open dataset and map of results from their Speedtest Global index.

Periodic Global Connectivity Reports

• GSMA - State of Mobile Internet Connectivity (2025) (2024) (2023) (2022) (2020) (2019) (2018)

4. Awesome Board Games

Strategy

Cthulhu Wars

Cthulhu Wars is a fast-moving strategy game about the end of the world. You take the part of various monstrous aliens seeking to dominate the world. You can play as Great Cthulhu himself, or you can take charge of other factions, such as the slithering hordes of the Crawling Chaos, or the insane minions of the Yellow Sign.

5. Awesome Data Engineering

Community / Books

• Learn AI Data Engineering in a Month of Lunches - A fast, friendly guide to integrating large language models into your data workflows.

6. Awesome Cpp

Containers

• librb (⭐6) - C implementation of ring (circular) buffer, with full thread awareness that allows for concurrent read/write and can automatically grow in size when needed. [BSD] website

7. Awesome Integration

Projects / API Management

• Gravitee.io API Management (⭐297) (⭐295) - A lightweight, open-source platform offering flexible API governance, robust security, and straightforward configuration.

• WSO2 API Manager (⭐920) (⭐916) - A fully open-source API platform offering robust governance, flexible deployment, and community-driven innovation.

Projects / API Design

• OpenAPI Diff (⭐978) (⭐972) - Compare OpenAPI specs with version control and visualize the differences in HTML or Markdown format.

• Zally (⭐933) (⭐932) - Ensure the quality of your OpenAPI specs with this linter tool that provides extensive analysis and feedback.

Projects / API Documentation

• Zudoku (⭐313) (⭐298) - A customizable framework built on OpenAPI, focused on delivering exceptional developer experiences through quality documentation.

Projects / API Gateway

• Gloo Edge (⭐120) (⭐118) - An Envoy Proxy–based gateway offering advanced traffic control, enhanced security, and observability for microservices ecosystems.

• Ocelot (⭐8.6k) (⭐8.6k) - A .NET-based gateway offering intuitive routing and easy integration for lightweight API management.

Projects / Business Rules Engine

• NxBRE (⭐134) (⭐132) - Specialized .NET open-source rule engine offering efficient rule processing tailored for Microsoft environments.

• OpenL Tablets (⭐179) (⭐178) - Flexible open-source decision management system that simplifies defining and executing business rules and decision tables.

Projects / Data Integration

• Estuary Flow (⭐813) (⭐803) - Versatile, scalable platform that provides both real-time and batch data integration for ETL and ELT pipelines.

Projects / Data Mapping Solution

• JSLT (⭐674) (⭐673) - Powerful JSON query and transformation language inspired by jq and XPath, designed for rapid and flexible data manipulation.

Projects / Message Broker

• BlazingMQ (⭐2.9k) (⭐2.7k) - Distributed message queuing system focused on efficiency and reliability for modern workflow needs.

• LavinMQ (⭐781) (⭐771) - High-performance message queue server implementing AMQP 0-9-1 and MQTT protocols, built with Crystal for exceptional throughput and minimal resource usage.

Projects / Self-Service Integration

• n8n (⭐136k) (⭐135k) - Open-source workflow automation tool with 400+ connectors, giving you full control over your data and integrations.

Projects / Workflow Engine

• Apache Airflow (⭐42k) (⭐42k) - Platform for programmatically creating, scheduling, and monitoring workflows, ideal for managing complex data pipelines.

• Argo Workflows (⭐16k) (⭐16k) - Container-native workflow engine designed for orchestrating parallel jobs in Kubernetes-based, cloud-native environments.

• Flowable (⭐8.7k) (⭐8.7k) - Compact, efficient set of open-source engines for automating and scaling enterprise workflows.

Resources / Data Formats

• YAML (⭐407) (⭐404) - A human-friendly and easy-to-read data serialization format that is widely used for configuration files and data exchange. It supports rich data types and is compatible with most programming languages.

Resources / Protocols

• OpenMessaging (⭐290) (⭐291) - A cloud native, vendor-neutral open specification for distributed messaging.

Resources / Structure and Validation

• JSON Schema (⭐4.5k) (⭐4.5k) - A powerful tool for validating the structure of JSON data. JSON Schema enables developers to ensure that JSON data conforms to a specific structure, making it easier to process and manipulate.

8. Awesome Vue

Projects Using Vue.js / Open Source

• fresfolio (⭐0) - a browser-based note-taking app for managing personal and research projects. The app uses Flask as backend and Vue.js as frontend leveraging the Quasar framework for UI components and responsive design.

Projects Using Vue.js / Commercial Products

• Litlyx - AI-powered web analytics platform. Open-source alternative to Google Analytics 4 and Mixpanel.

Components & Libraries / UI Components

• GridSheet (⭐183) - Highly customizable spreadsheet engine with formula support, multi-sheet references, and a Vue3 wrapper built on a Preact core.

• vue-my-dropdown (⭐31) - A customizable dropdown component for Vue 3 with TypeScript support.

Components & Libraries / UI Utilities

• piying-view (⭐5) - Frontend Form Solution; strongly typed; Vue 3

• validation-composable (⭐17) - ✅ Lightweight validation for Vue — just 40 lines of code.

• vue-uform (⭐19) - an component-first, unstyled, flexible form validation library for Vue 3

• timered-counter (⭐7) A counter web component with smooth animations

Components & Libraries / Dev Tools

• Vue Log Arsenal (⭐31) - Lightweight Vue 3 plugin providing logging directives for easier debugging

• vue-flow-vis (⭐24) - real-time monitoring of component renders and reactive dependency tracking

9. Free for Dev

APIs, Data, and ML

• JSON to Table - Convert JSON into an interactive table for quick viewing, editing, and sharing online.

• FreeIPAPI - Free, Fast and Reliable IP Geolocation API for commercial and non-commercial users available in JSON

10. Awesome Docker

Service Discovery

• docker-dns (⭐1) - Lightweight DNS forwarder for Docker containers, resolves container names with custom suffixes (e.g. .docker) on the host to simplify service discovery by @bytesharky

11. Awesome Cl

Mobile

• 👍 serapeum (⭐468) - Another general-purpose utility library. Expat.

Changing the syntax

• Moonly - Algol-style syntax that transpiles to Common Lisp.
  • not even experimental but pre-experimental. New as of 2025.

12. Awesome Python Typing

Static type checkers

• PyCharm - IDE for Professional Developers.

Tools / Mypy plugins

• NumPy - Plugin for NumPy support.

13. Awesome Ironsworn

Resources / Starforged

• Ironsworn Pocket Refs - Pocket-sized reference of Ironsworn Moves

• Ironsworn Starforged Move Cards and Their Oracles - All Starforged moves on double-sided, 63x88mm cards

• Starforged Player Move Cards - All Starforged moves (except the Session moves) in standard "poker" card size

14. Awesome Capacitorjs

Plugins / Community Plugins

• @smartcompanion/native-audio-player (⭐2) - Play audio that keeps playing in the background, player is shown in system controls, audio output can be switched between speaker/earpiece.

15. Awesome Ebpf

Projects Related to eBPF / Linux Scheduler

• scx (⭐1.4k) - sched_ext schedulers and tools.

• Gthulhu (⭐140) - Gthulhu optimizes cloud-native workloads using the Linux Scheduler Extension for different application scenarios.

16. Awesome Developer First

CI/CD

• Ona - Automated cloud dev environments.

Feature Flags

• Hypertune - Type-safe feature flags, optimized for React and Next.js.

17. Awesome Neovim

Project / Diagnostics

• DrKJeff16/project.nvim (⭐44) - An actively maintained fork of ahmedkhalf/project.nvim with documented code, fzf-lua support and new features.

Tree-sitter Supported Colorscheme / Diagnostics

• y3owk1n/base16-pro-max.nvim (⭐3) - Base16 for modern Neovim — not just colors.

Note Taking / Diagnostics

• happyeric77/joplin.nvim (⭐1) - Joplin notes utilities: tree browser, search, open, and Telescope integration.

18. Awesome Cakephp

Filtering and Validation

• RuleFlow plugin (⭐1) - A plugin that seamlessly transforms server-side validation rules into client-side JSON Logic validation, providing automatic form validation without requiring separate client-side validation code.

Templating

• TemplaterDefaults plugin (⭐0) - Allows the use of default HTML attributes within CakePHP's string template system.

19. Awesome D

CLI Applications

• Soulfind (⭐30) - Soulseek server implementation in D.

20. Awesome Selfhosted

Software / Pastebins

• pacebin - Super-minimal pastebin and file upload service focusing on small executable size, portability, and ease of configuration. (Demo) AGPL-3.0 C

Software / URL Shorteners

• clink - A super-minimal link shortening service written in pure C, focusing on small executable size, portability, and ease of configuration. (Demo) AGPL-3.0 C

Software / Web Servers

• Pangolin - Identity-aware tunneled reverse proxy with dashboard UI, access control, and WireGuard-based tunnels (alternative to Cloudflare Tunnel, Tailscale). (Source Code (⭐14k)) AGPL-3.0 Docker

• UUSEC WAF - Industry-leading high-performance, AI and semantic technology web application firewall and API security gateway (fork of nginx). (Source Code (⭐1.4k)) GPL-3.0 C/Lua/Docker

21. Awesome Agi Cocosci

Science Logology / Laboratory Automation

• Balancing autonomy and expertise in autonomous synthesis laboratories - Nature Computational Science, 2025. [All Versions]. Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, the authors comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for optimizing accessibility, accuracy, and efficiency of autonomous laboratories.

• AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning - Nature Communications, 2023. [All Versions]. Closed-loop, autonomous experimentation enables accelerated and material-efficient exploration of large reaction spaces without the need for user intervention. However, autonomous exploration of advanced materials with complex, multi-step processes and data sparse environments remains a challenge. In this work, the authors present AlphaFlow, a self-driven fluidic lab capable of autonomous discovery of complex multi-step chemistries. AlphaFlow uses reinforcement learning integrated with a modular microdroplet reactor capable of performing reaction steps with variable sequence, phase separation, washing, and continuous in-situ spectral monitoring. To demonstrate the power of reinforcement learning toward high dimensionality multi-step chemistries, the authors use AlphaFlow to discover and optimize synthetic routes for shell-growth of core-shell semiconductor nanoparticles, inspired by colloidal atomic layer deposition (cALD). Without prior knowledge of conventional cALD parameters, AlphaFlow successfully identified and optimized a novel multi-step reaction route, with up to 40 parameters, that outperformed conventional sequences. Through this work, the authors demonstrate the capabilities of closed-loop, reinforcement learning-guided systems in exploring and solving challenges in multi-step nanoparticle syntheses, while relying solely on in-house generated data from a miniaturized microfluidic platform. Further application of AlphaFlow in multi-step chemistries beyond cALD can lead to accelerated fundamental knowledge generation as well as synthetic route discoveries and optimization.

Science Logology / AI Assisted Research

• Empowering biomedical discovery with AI agents - Cell, 2024. [All Versions]. The authors envision “AI scientists” as systems capable of skeptical learning and reasoning that empower biomedical research through collaborative agents that integrate AI models and biomedical tools with experimental platforms. Rather than taking humans out of the discovery process, biomedical AI agents combine human creativity and expertise with AI’s ability to analyze large datasets, navigate hypothesis spaces, and execute repetitive tasks. AI agents are poised to be proficient in various tasks, planning discovery workflows and performing self-assessment to identify and mitigate gaps in their knowledge. These agents use large language models and generative models to feature structured memory for continual learning and use machine learning tools to incorporate scientific knowledge, biological principles, and theories. AI agents can impact areas ranging from virtual cell simulation, programmable control of phenotypes, and the design of cellular circuits to developing new therapies.

• The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies - Nature, 2025. [All Versions]. Science frequently benefits from teams of interdisciplinary researchers, but many scientists do not have easy access to experts from multiple fields. Although large language models (LLMs) have shown an impressive ability to aid researchers across diverse domains, their uses have been largely limited to answering specific scientific questions rather than performing open-ended research. Here the authors expand the capabilities of LLMs for science by introducing the Virtual Lab, an artificial intelligence (AI)–human research collaboration to perform sophisticated, interdisciplinary science research. The Virtual Lab consists of an LLM Principal Investigator agent guiding a team of LLM scientist agents through a series of research meetings, with a human researcher providing high-level feedback. The authors applied the Virtual Lab to design nanobody binders to recent variants of SARS-CoV-2. The Virtual Lab created a novel computational nanobody design pipeline that incorporates the protein language model ESM, the protein folding model AlphaFold-Multimer and the computational biology software Rosetta and designed 92 new nanobodies. Experimental validation reveals a range of functional nanobodies with promising binding profiles across SARS-CoV-2 variants. In particular, two new nanobodies exhibit improved binding to the recent JN.1 or KP.3 variants while maintaining strong binding to the ancestral viral spike protein, suggesting that these are suitable candidates for further investigation. This work demonstrates how the Virtual Lab can rapidly make an impactful, real-world scientific discovery.

• From intention to implementation: automating biomedical research via LLMs - Science China Information Sciences, 2025. [All Versions]. Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly large language models (LLMs), has the potential to revolutionize this process by automating various steps. Still, significant challenges remain, including the need for multidisciplinary expertise, logicality of experimental design, and performance measurements. This paper introduces BioResearcher, the first end-to-end automated system designed to streamline the entire biomedical research process involving dry lab experiments. BioResearcher employs a modular multi-agent architecture, integrating specialized agents for search, literature processing, experimental design, and programming. By decomposing complex tasks into logically related sub-tasks and utilizing a hierarchical learning approach, BioResearcher effectively addresses the challenges of multidisciplinary requirements and logical complexity. Furthermore, BioResearcher incorporates an LLM-based reviewer for in-process quality control and introduces novel evaluation metrics to assess the quality and automation of experimental protocols. BioResearcher successfully achieves an average execution success rate of 63.07% across eight previously unmet research objectives. The generated protocols, on average, outperform typical agent systems by 22.0% on five quality metrics. The system demonstrates significant potential to reduce researchers’ workloads and accelerate biomedical discoveries, paving the way for future innovations in automated research systems.

• Large language models for scientific discovery in molecular property prediction - Nature Machine Intelligence, 2025. [All Versions]. Large language models (LLMs) are a form of artificial intelligence system encapsulating vast knowledge in the form of natural language. These systems are adept at numerous complex tasks including creative writing, storytelling, translation, question-answering, summarization and computer code generation. Although LLMs have seen initial applications in natural sciences, their potential for driving scientific discovery remains largely unexplored. This work introduces LLM4SD, a framework designed to harness LLMs for driving scientific discovery in molecular property prediction by synthesizing knowledge from literature and inferring knowledge from scientific data. LLMs synthesize knowledge by extracting established information from scientific literature, such as molecular weight being key to predicting solubility. For inference, LLMs identify patterns in molecular data, particularly in Simplified Molecular Input Line Entry System-encoded structures, such as halogen-containing molecules being more likely to cross the blood–brain barrier. This information is presented as interpretable knowledge, enabling the transformation of molecules into feature vectors. By using these features with interpretable models such as random forest, LLM4SD can outperform the current state of the art across a range of benchmark tasks for predicting molecular properties. The authors foresee it providing interpretable and potentially new insights, aiding scientific discovery in molecular property prediction.

• Retrosynthesis prediction using an end-to-end graph generative architecture for molecular graph editing - Nature Communications, 2023. [All Versions]. Retrosynthesis planning, the process of identifying a set of available reactions to synthesize the target molecules, remains a major challenge in organic synthesis. Recently, computer-aided synthesis planning has gained renewed interest and various retrosynthesis prediction algorithms based on deep learning have been proposed. However, most existing methods are limited to the applicability and interpretability of model predictions, and further improvement of predictive accuracy to a more practical level is still required. In this work, inspired by the arrow-pushing formalism in chemical reaction mechanisms, the authors present an end-to-end architecture for retrosynthesis prediction called Graph2Edits. Specifically, Graph2Edits is based on graph neural network to predict the edits of the product graph in an auto-regressive manner, and sequentially generates transformation intermediates and final reactants according to the predicted edits sequence. This strategy combines the two-stage processes of semi-template-based methods into one-pot learning, improving the applicability in some complicated reactions, and also making its predictions more interpretable. Evaluated on the standard benchmark dataset USPTO-50k, the model achieves the state-of-the-art performance for semi-template-based retrosynthesis with a promising 55.1% top-1 accuracy.

22. Awesome Rust

Applications

• rkik (⭐35) - CLI tool designed for stateless and passive NTP inspection, just as dig or ping are for DNS and ICMP. It supports async requests and continuous monitoring.

Applications / Games

• GitType (⭐77) - A CLI code-typing game that turns your source code into typing challenges

• Next: Sep 08 - Sep 14, 2025