project-controls

Parse the contents of a P6 .xer file into a Python object

Open-source, dependency-driven scheduling and project controls engine for Microsoft Excel.

Project scheduling and earned value control for Python: CPM, PERT with Monte Carlo schedule risk, minimum-cost crashing, EVM and earned schedule. Validated against published reference values.

Instant Plan vs. Actual S-Curve generator from Primavera P6 XML exports. No installation or Excel required.

Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.

Production Python patterns for construction project tracking & change order automation — document parsing, WBS/data taxonomy, and Primavera P6 / MS Project schedule sync.

MeridianIQ - The intelligence standard for project schedules. Open-source schedule intelligence from validation to prediction

Project-controls assurance engine for P6, cost, change, and risk data with reproducible evidence.

End-to-end residential construction estimating workflow including quantity takeoff, BOQ, contractor pricing, cost-loaded scheduling, Earned Value Management (EVM), commercial reporting, and project controls.

Standalone infrastructure mapping and digital transformation roadmap tool

Personal portfolio for construction project controls analytics, BI, and responsible AI leadership.

XERlock - self-hosted, read-only Primavera P6 .xer Detective. When a P6 license is not available but you still want to go beyond PDFs and analyze a schedule from XER. Interactive Gantt, critical-path network, DCMA-14 health checks, activity chain tracing, snapshot comparisons, etc.

Construction Project Coordination Platform

This project aims to assess construction cost at completion, known as EAC, using artificial intelligence to take into account past data and provide accurate estimations

Evidence-bound project controls and data systems for traceable, reproducible decisions.

TerraCast developed TerraCast, a machine‑learning based forecasting approach that combines data quality checks, classification, and regression models to predict schedule delay risk and likely lateness across energy projects, supported by dashboard‑ready outputs.

Project Controls & Performance Analytics Dashboard | Google Sheets & Power BI | Schedule Performance | Cost Control | Resource Analytics

The world's largest open-source AI toolkit for Construction, BIM, Project Management, Primavera P6, Estimation, Contracts, Project Controls, and Digital Engineering.

An end-to-end data pipeline built using Python (Pandas/NumPy), SQLite window functions, and Power BI to analyze heavy machinery utilization rates and optimize construction site fuel consumption.

Local-first project controls desktop app for schedule, cost, risk, change and weekly management reporting.