DOTs

Python | Streamlit | Utilitiy

Overview

A collection of lightweight, modular Streamlit tools designed as plug-and-play DOTs (Domain Oriented Tools) that can be seamlessly attached to any domain workflow to streamline data preprocessing, visualization, schema management, and geospatial mapping.
An intuitive, browser-based workspace empowering teams to quickly upload datasets, clean and transform column schemas, merge multi-source files, and perform comprehensive 2D, 3D, and geographical visualizations without writing code.

Core Features

Interactive 2D Data Visualization (PLOTTER)

Explore complex visual relationships with customizable 2D scatter, bubble, line, histogram, and boxplot views powered by Plotly. Fine-tune binning formulas, point sizes, and axes labels with direct export options to standalone interactive HTML charts.
Immersive 3D Spatial Analysis (PLOTTER)

Analyze multi-variable relationships across three dimensions using full 3D interactive scatter and line plots. Supports custom axis labeling, camera control, data revision state preservation, and single-click HTML exporting.
Smart Dataset Merging & Column Mapping (MERGER)

Effortlessly reconcile structural differences across multiple CSV files by mapping user columns to a chosen reference file schema using interactive drop-down tables before executing unified data concatenations.
Interactive Data Type & Schema Assigner (ASSIGNER)

Inspect column data samples and dynamically reassign data types (such as object, int64, float64, bool, datetime64[ns], or category). Apply changes with automatic error-handling and download the integrated JSON dataset.
Custom Geospatial Map Studio (MAPPER)

Design customized geospatial visualizations with precise control over map projections, center coordinates, latitude/longitude grids, coastlines, ocean colors, country borders, landmasses, rivers, and lakes.