Awesome List Updates on Jul 11, 2025

7 awesome lists updated today.

🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor

1. Awesome Composer

Support / IRC

IRC channels are on irc.freenode.org: #composer for users and #composer-dev for development.

Services / IRC

Dependabot - Dependabot is a dependency update service. It monitors and updates your dependencies by sending a pull-request. The service is free for public repos and personal account repos.

Packagist Mirrors / IRC

Global, CloudFlare - packagist.pages.dev

2. Awesome Mac

Utilities / Window Management

DockDoor - Free and open source window peeking & alt-tab for macOS.

3. Awesome Decentralized

Applications

Bitchat (⭐16k): A decentralized peer-to-peer messaging app that works over Bluetooth mesh networks. No internet required, no servers, no phone numbers. It's the side-groupchat.

Fernweh: Fernweh is a messaging app that works without internet. It operates through a sophisticated decentralized mesh networking architecture that transforms ordinary smartphones into communication hubs, enabling seamless messaging without any internet or cellular connectivity.

4. Awesome Angular

Form Controls / Google Developer Experts

ngx-animated-paginator (⭐1) - Angular wrapper for animated-paginator-web-component that plugs seamlessly into template-driven and reactive forms via ControlValueAccessor.

5. Awesome Integration

Projects / API Management

Gravitee.io API Management (⭐273) (⭐273) - A lightweight, open-source platform offering flexible API governance, robust security, and straightforward configuration.

WSO2 API Manager (⭐906) (⭐906) - A fully open-source API platform offering robust governance, flexible deployment, and community-driven innovation.

Projects / API Design

OpenAPI Diff (⭐951) (⭐951) - Compare OpenAPI specs with version control and visualize the differences in HTML or Markdown format.

Swagger Editor (⭐9.2k) (⭐9.2k) - Create, describe, and document your API with ease using this open source editor built specifically for OpenAPI-based APIs.

Zally (⭐926) (⭐926) - Ensure the quality of your OpenAPI specs with this linter tool that provides extensive analysis and feedback.

Projects / API Documentation

OpenAPI Explorer (⭐334) (⭐334) - Creates intuitive, interactive user interfaces from OpenAPI specs, simplifying API exploration and testing.

Zudoku (⭐256) (⭐257) - A customizable framework built on OpenAPI, focused on delivering exceptional developer experiences through quality documentation.

Projects / API Gateway

Gloo Edge (⭐106) (⭐106) - An Envoy Proxy–based gateway offering advanced traffic control, enhanced security, and observability for microservices ecosystems.

Projects / API Testing

MQ clients
- JMSToolBox (⭐216) (⭐216) - A universal JMS client offering broad compatibility and streamlined messaging testing across various brokers.
- kcat (⭐5.5k) (⭐5.6k) - A lightweight command-line tool for Apache Kafka, providing efficient message production and consumption.
- MQTT Explorer (⭐3.4k) (⭐3.5k) - A detailed MQTT client delivering structured topic visualization and intuitive debugging.
- Offset Explorer - A comprehensive GUI for managing Apache Kafka clusters with user-friendly monitoring and administration tools.
- Service Bus Explorer (⭐2.1k) (⭐2.1k) - An advanced GUI for Azure Service Bus that enables in-depth testing and seamless management of topics, queues, and subscriptions.

Projects / Data Mapping Solution

AtlasMap (⭐203) (⭐203) - Interactive web-based tool that simplifies mapping across Java, XML, CSV, and JSON data sources with an intuitive interface.

JSLT (⭐670) (⭐670) - Powerful JSON query and transformation language inspired by jq and XPath, designed for rapid and flexible data manipulation.

Projects / ETL

Estuary Flow (⭐768) (⭐768) - Versatile, scalable platform that provides both real-time and batch data integration for ETL and ELT pipelines.

Projects / Messaging

Apache ActiveMQ Artemis (⭐973) (⭐973) - Next-generation message broker from Apache ActiveMQ with high performance, clustering support, and multi-protocol capabilities.

EMQX (⭐15k) (⭐15k) - High-performance MQTT broker built for IoT and industrial applications, ensuring scalable message delivery.

LavinMQ (⭐749) (⭐749) - High-performance message queue server implementing AMQP 0-9-1 and MQTT protocols, built with Crystal for exceptional throughput and minimal resource usage.

Projects / RPA

TagUI (⭐6k) (⭐6k) - An open-source RPA tool that democratizes automation through natural language scripting in 20+ human languages, enabling non-programmers to automate web, desktop, and data tasks while integrating AI/ML capabilities via Python and R for intelligent process automation.

Projects / Self-Service Integration

n8n (⭐116k) (⭐117k) - Open-source workflow automation tool with 400+ connectors, giving you full control over your data and integrations.

Resources / Data Formats

NDJSON (⭐751) (⭐751) - A standard for delimiting JSON objects in stream protocols. It allows for efficient processing of large JSON datasets and is widely used in big data processing.

6. Awesome Agi Cocosci

Explainability / Trustworthy AI

X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust - CVPR XAI Workshop'19, 2019. [All Versions]. This work presents a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. The authors pose explanation as an iterative communication process, i.e. dialog, between the machine and human user. More concretely, the machine generates sequence of explanations in a dialog which takes into account three important aspects at each dialog turn: (a) human's intention (or curiosity); (b) human's understanding of the machine; and (c) machine's understanding of the human user. To do this, the authors use Theory of Mind (ToM) which helps us in explicitly modeling human's intention, machine's mind as inferred by the human as well as human's mind as inferred by the machine. In other words, these explicit mental representations in ToM are incorporated to learn an optimal explanation policy that takes into account human's perception and beliefs. Furthermore, the authors also show that ToM facilitates in quantitatively measuring justified human trust in the machine by comparing all the three mental representations. We applied our framework to three visual recognition tasks, namely, image classification, action recognition, and human body pose estimation. The authors argue that our ToM based explanations are practical and more natural for both expert and non-expert users to understand the internal workings of complex machine learning models. This is the first work to derive explanations using ToM. Extensive human study experiments verify our hypotheses, showing that the proposed explanations significantly outperform the state-of-the-art XAI methods in terms of all the standard quantitative and qualitative XAI evaluation metrics including human trust, reliance, and explanation satisfaction.