Awesome List Updates on Jan 03, 2026

9 awesome lists updated today.

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

1. Awesome Raspberry Pi

Projects

• BotWave (⭐81) - FM broadcasting system with server-client architecture for managing multiple Raspberry Pi transmitters remotely.

2. Awesome Mongodb

Tools / Desktop

• MongoDB MCP Server (⭐870) - Official Model Context Protocol server for interacting with MongoDB databases and MongoDB Atlas

3. Awesome Rust

Development tools / Static analysis

• cargo-coupling (⭐56) - A Rust coupling analysis tool using Vlad Khononov's "Balancing Coupling in Software Design" framework

Libraries / Artificial Intelligence

• Cortex Memory (⭐58) - A complete solution for agent memory, from extraction and vector search to automated optimization, and insights dashboard out-of-the-box.

4. Awesome Graphql

Services / React

• Vedika - Vedic astrology AI API with GraphQL support for horoscopes, birth charts, kundali matching, and 108+ endpoints.

5. Awesome Rest

Design

• Architectural Styles and the Design of Network-based Software Architectures - Roy Fielding's dissertation defining REST

6. Awesome Agi Cocosci

Domain Specific Language / DSL Program Synthesis

• On the Effectiveness of Large Language Models in Domain-Specific Code Generation - ACM Transactions on Software Engineering and Methodology, 2025. [All Versions]. Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire a broad spectrum of open-domain knowledge. Besides, their evaluation revolves around open-domain benchmarks like HumanEval, which primarily consist of programming contests. Therefore, it is hard to fully characterize the intricacies and challenges associated with particular domains (e.g., Web, game, and math). This work conducts an in-depth study of the LLMs in domain-specific code generation. The results demonstrate that LLMs exhibit sub-optimal performance in generating domain-specific code, due to their limited proficiency in utilizing domain-specific libraries. The authors further observe that incorporating API knowledge as prompts can empower LLMs to generate more professional code. Based on these findings, the authors further investigate how to effectively incorporate API knowledge into the code generation process. The authors experiment with three strategies for incorporating domain knowledge, namely, external knowledge inquirer, chain-of-thought prompting, and chain-of-thought fine-tuning. The authors refer to these strategies as a new code generation approach called DomCoder. Experimental results show that all strategies of DomCoder improve the effectiveness of domain-specific code generation under certain settings.

7. Awesome Zsh Plugins

Plugins / superconsole - Windows-only

• git-to-jj (⭐7) - Helps you progressively learn Jujutsu (⭐24k) (aka jj) porcelain as you use git commands.

8. Awesome Testing

Software / API Testing

• Vedika API - Vedic astrology API with free sandbox environment for testing. Includes Postman collection, 108+ endpoints, and AI-powered chatbot API for integration testing.

9. Awesome Machine Learning

C++ / General-Purpose Machine Learning

• • Agentic Context Engine (⭐1.6k) -In-context learning framework that allows agents to learn from execution feedback.

• nndeploy (⭐1.7k) - An Easy-to-Use and High-Performance AI deployment framework.

CUDA PTX / Neurosymbolic AI

• Knowledge3D (K3D) (⭐22) - Sovereign GPU-native spatial AI architecture with PTX-first cognitive engine (RPN/TRM reasoning), tri-modal fusion (text/visual/audio), and 3D persistent memory ("Houses"). Features sub-100µs inference, procedural knowledge compression (69:1 ratio), and multi-agent swarm architecture. Zero external dependencies for core inference paths.

Java / General-Purpose Machine Learning

• jSciPy (⭐5) - A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.

JavaScript / General-Purpose Machine Learning

• Catniff (⭐8) - Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.

Python / Computer Vision

• Gempix2 - Free production platform for text-to-image generation using Nano Banana V2 model.

Python / Natural Language Processing

• NobodyWho (⭐630) - The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.

• VeritasGraph (⭐183) - Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.

Python / General-Purpose Machine Learning

• InterpretML (⭐6.8k) - InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.

• Neurolink (⭐101) - Enterprise-grade LLM integration framework for building production-ready AI applications with built-in hallucination prevention, RAG, and MCP support.

Python / Neural Networks

• ANEE (⭐1) - Adaptive Neural Execution Engine for transformers. Per-token sparse inference with dynamic layer skipping, profiler-based gating, and KV-cache-safe compute reduction.

Python / Development Tools

• CodeFlash.AI – CodeFlash.AI – Ship Blazing-Fast Python Code, Every Time.

Rust / Natural Language Processing

• shimmy (⭐3.5k) - Python-free Rust inference server for NLP models with OpenAI API compatibility and hot model swapping.

Tools / Misc

• Deepnote (⭐2.5k) - Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps.

• promptfoo (⭐9.5k) - Open-source LLM evaluation and red teaming framework. Test prompts, models, agents, and RAG pipelines. Run adversarial attacks (jailbreaks, prompt injection) and integrate security testing into CI/CD.

• Agentfield (⭐240) - Open source Kubernetes-style control plane for deploying AI agents as distributed microservices, with built-in service discovery, durable workflows, and observability.

• PraisonAI (⭐5.5k) - Production-ready Multi-AI Agents framework with self-reflection. Fastest agent instantiation (3.77μs), 100+ LLM support via LiteLLM, MCP integration, agentic workflows (route/parallel/loop/repeat), built-in memory, Python & JS SDKs.

• Next: Jan 02, 2026