Date: 2025 07-July 12

Pavlov25

Pavlov25 is a modular Python-based data processing and 3D visualization pipeline designed to transform time-series CSV data into structured 3D assets. At its core, it connects:

• Data Ingestion: Using Python and Pandas to manage and manipulate CSV time-series data

• 3D Export: Leveraging the FBX SDK to export nested groups and collections representing data curves in 3D space

• Future Goals: Enabling real-time 3D visualization using WebGL technologies like Three.js or WebGPU

Overview

The primary goal of Pavlov25 is to create a bridge between raw time-series data and immersive 3D visual representations. This enables users to better analyze, explore, and present complex datasets in a spatial context.

The repository contains several packaging and integration directories designed as portals to the central codebase, facilitating different deployment or export workflows.

Features

• Robust CSV data handling and processing with Pandas

• Modular 3D export pipeline to FBX format using the FBX SDK

• Support for grouping and nesting data curves for meaningful 3D organization

• Designed with extensibility for live 3D visualization on web platforms

• Multiple packaging options to integrate with Blender, FastAPI, and other frameworks

Getting Started

Prerequisites

• Python 3.11+ recommended

• FBX SDK installed and configured (link or instructions)

• Pandas library for data manipulation

• Optional: Blender for testing FBX import/export

Installation

(Describe how to install dependencies or set up environment)

Usage

(Examples on how to process CSV files and export FBX)

Project Structure

• /core/ — Central Python modules managing data processing and FBX export

• /fastAPI/ — Optional FastAPI integration for serving or processing data

• /blender-add-on/ — Blender integration for visualizing or editing exports

• /powershell-scripts/ — Packaging or deployment scripts for Windows environments

• /docker/ — Docker container setups for isolated builds or deployments

Future Work

• Real-time 3D visualization using Three.js or WebGPU

• Web-based interactive dashboards for time-series exploration

• Additional export formats for other 3D engines