topfunky/hpple
Hpple
This project is a multi-purpose toolkit comprising a static site generator, a predictive modeling tool, and a sports analytics dashboard. It functions as a content syndication engine that converts source files into static HTML and machine-readable XML streams for blogs and professional portfolios.
The system features a data processing engine designed for sports performance analytics, using linear and logistic regression to estimate season win totals and calculate win probabilities. It includes a time-series visualization framework that renders these performance trends using high-contrast themes for accessibility.
The broader capability surface covers unstructured data extraction via pattern matching, large dataset cleansing, and vectorized row processing. It also encompasses production system deployment tasks, including the implementation of runtime observability and encrypted secret management.
Features
- Static Site Generators - Transforms source files and templates into static HTML and XML feeds for blogs and portfolios.
- Static Site Generators - Provides a static site generator to build blogs and professional portfolios from source files.
- Sports Statistics Tracking - Calculates win probabilities and team strength using rating systems and regression models for sports performance analytics.
- Linear and Logistic Regression - Uses linear and logistic regression to predict season win totals and binary win probabilities.
- Linear Regression Models - Builds linear regression models to estimate total season wins based on efficiency metrics.
- Logistic Regression Models - Predicts binary win outcomes by calculating probabilities using logistic regression models.
- Win Total Forecasting - Builds linear regression models using efficiency metrics to estimate team win totals.
- Syndication Feed Generators - Generates machine-readable XML streams that enable external readers to subscribe to technical articles and updates.
- Personal Portfolio Generators - Generates professional portfolios and personal blogs with machine-readable feeds for content syndication.
- Analytics Dashboards - Provides a web-based interface for visualizing sports performance metrics and calculating win probabilities.
- Document and Unstructured Extraction - Extracts specific information from unstructured web pages using pattern matching and structural analysis.
- Dataset Cleaning - Cleanses large datasets and optimizes row-level computations to prepare unstructured web data for analysis.
- Sports Performance Analytics - Calculates team strength and win probabilities using rating systems to track performance trends.
- Tabular Predictive Models - Implements predictive modeling using efficiency metrics on structured tabular data to forecast season win totals.
- Probability Outcome Calculation - Calculates the likelihood of winning an event based on real-time attributes using logistic regression.
- Data Cleansing - Filters null values and derives new columns to prepare large datasets for predictive modeling.
- Performance Trend Visualizations - Provides time-series charts to track and compare predicted win totals against actual outcomes.
- Forecast Accuracy Validation - Validates prediction precision by comparing estimated win percentages against actual game outcomes.
- Personal Blogs - Hosts a collection of dated articles and technical essays as a personal blog.
- Content Syndication Engines - Generates machine-readable XML streams to enable external readers to subscribe to technical articles and updates.
- Syndication Feed Publishing - Generates XML streams of recent updates to enable content syndication.
- Athletic Performance Benchmarking - Benchmarks shooting percentages across leagues and time periods to identify performance improvements.
- Data Visualization - Provides a set of charting tools that render performance trends using high-contrast themes for improved accessibility.
- Time-Series Visualizers - Renders time-series charts comparing predicted performance trends against actual outcomes.
- Pattern-Based Extraction - Uses structural analysis and regex pattern matching to extract information from unstructured web pages.
- Vectorized Data Processing - Processes large datasets using vectorization and row-by-row application to increase computation speed.
- Web Data Extraction Tools - Scrapes and structures information from unstructured web pages using pattern matching.
- Application Cloud Deployments - Moves applications from local development to secure cloud environments with integrated observability and secret management.
- Vectorized Data Processing - Increases computation speed by processing large datasets using array-based vectorized operations.
- Encrypted Secret Management - Implements encrypted stores to isolate sensitive infrastructure credentials from source code.
- Infrastructure Hardening - Hardens application infrastructure by removing sensitive data from code and implementing encrypted secret management.
- Portfolio Showcases - Displays a curated set of projects and expertise to establish a professional online presence.
- Observability Instrumentation - Instruments the application with monitoring services to collect and analyze logs, traces, and performance metrics.
- System Health Monitoring - Provides runtime observability by collecting logs and performance metrics through external monitoring services.
- Text and Typography - Lightweight HTML parsing framework.
