Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0

1. finance-analyzer

   1 3 1 9.3 Svelte

   An AI-powered financial behavior analyzer and advisor written in Python (aiohttp) and TypeScript (ExpressJS & SvelteKit with Svelte 5)

   

   View on GitHub

2. CodeRabbit

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   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

3. MongoDB

   2 298 26,897 10.0 C++

   The MongoDB Database

   

   Stores user-profiles and transactions in MongoDB.

4. Tailwind CSS

   3 1,481 86,522 9.9 TypeScript

   A utility-first CSS framework for rapid UI development.

   

   In the ever-evolving landscape of Software Engineering, staying up-to-date with the latest technologies is crucial. Earlier this year, I wanted to refresh my skills with Node.js (Express.js), having been a while since I last delved into them. Since I learn better by doing, I needed a project to work on but I didn't just want to build another run-of-the-mill application. I wanted a project that would be both challenging and exciting, something that would allow me to explore the fascinating world of AI while keeping my hands on the core development. Then the idea of creating an AI-powered financial data analyzer sparked my interest. It presented the perfect opportunity to not only revisit Node and its ecosystem but also to dive into the realm of AI/ML by working with transformers and lower-level libraries like PyTorch and Hugging Face, rather than relying on pre-built, heavy AI APIs. Thus, the AI Financial Analyzer project was born. This series of articles will walk you through the architecture and implementation of this project, showcasing how you can leverage SvelteKit (or any frontend framework), Tailwind CSS (v4), Express.js, and Python's AI ecosystem to build a robust and insightful financial analysis tool.

5. Pytorch

   4 384 87,979 10.0 Python

   Tensors and Dynamic neural networks in Python with strong GPU acceleration

   

   The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.

6. Pandas

   5 422 44,871 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.

7. NumPy

   6 300 29,106 10.0 Python

   The fundamental package for scientific computing with Python.

   

   The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.

8. Express

   7 768 66,547 9.0 JavaScript

   Fast, unopinionated, minimalist web framework for node.

   

   In the ever-evolving landscape of Software Engineering, staying up-to-date with the latest technologies is crucial. Earlier this year, I wanted to refresh my skills with Node.js (Express.js), having been a while since I last delved into them. Since I learn better by doing, I needed a project to work on but I didn't just want to build another run-of-the-mill application. I wanted a project that would be both challenging and exciting, something that would allow me to explore the fascinating world of AI while keeping my hands on the core development. Then the idea of creating an AI-powered financial data analyzer sparked my interest. It presented the perfect opportunity to not only revisit Node and its ecosystem but also to dive into the realm of AI/ML by working with transformers and lower-level libraries like PyTorch and Hugging Face, rather than relying on pre-built, heavy AI APIs. Thus, the AI Financial Analyzer project was born. This series of articles will walk you through the architecture and implementation of this project, showcasing how you can leverage SvelteKit (or any frontend framework), Tailwind CSS (v4), Express.js, and Python's AI ecosystem to build a robust and insightful financial analysis tool.

9. SaaSHub

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   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

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