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VizzBreeze 🌪️

A lightweight, high-performance transactional web-dashboard designed for advanced data flow analytics, multi-stage routing visualization, and statistical risk audit. Built natively on top of Streamlit, Pandas, and Plotly.

Key Features

  • Flat Transaction Processing Engine: Optimized for fast processing of un-aggregated logs (e.g., Client ➔ Fund ➔ Asset).
  • Global Session Synchronization: Seamlessly locks metric column selections, typography sizes, and alignments across all workspace views.
  • Auto-Scroll Suppression: Enhanced layout architecture prevents viewport jumps during widget updates and data updates.
  • Advanced Graph Matrix Analytics: Includes high-fidelity stacked charts, multi-dimensional Parcats layouts, Density Matrices, and automated IQR risk audit profiling tools.

Quick Start

You can install and launch the interactive analytical control room globally using just two commands in your terminal:

pip install vizzbreeze
vizzbreeze-run

Core Analytical Tabs

  1. Parallel Categories Flow: Explore multi-stage multi-dimensional category paths with thin, light axis labels and custom high-contrast hover tooltips.
  2. Route Conversion Pipeline: Track progressive conversion drops along specific workflow layers.
  3. Structural Composition Breakdown: Classic stacked column bar charts configured with responsive axis titles that update on the fly based on active filters.
  4. Bento Components & Density Matrix: High-density dashboards to scan cluster intersections instantly.
  5. Statistical Risk Audit: Automated statistical anomaly profiling that detects process outliers without freezing the browser engine.

Requirements

  • Python >= 3.9
  • Streamlit >= 1.35.0
  • Pandas >= 2.1.0
  • Plotly >= 5.18.0

License

This project is licensed under the MIT License - see the LICENSE file for details.

Metadata

Release files for vizzbreeze 1.0.0

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Source distribution for vizzbreeze 1.0.0
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Table of built distributions (wheels) for vizzbreeze 1.0.0
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vizzbreeze-1.0.0-py3-none-any.whl Python 3 none any Details

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