Parse the contents of a P6 .xer file into a Python object
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Updated
May 24, 2026 - Python
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.
Local-first project controls desktop app for schedule, cost, risk, change and weekly management reporting.
Standalone infrastructure mapping and digital transformation roadmap tool
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.
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.
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
WBS Cost Estimation Tool developed a desktop‑based Work Breakdown Structure (WBS) and Cost Breakdown Structure (CBS) estimation tool that supports structured cost entry, versioned change tracking, and comparison of estimates against actuals across the project lifecycle.
Evidence-bound project controls and data systems for traceable, reproducible decisions.
The team explored persona‑driven behavioural analytics to address risky resource planning practices. By combining detailed persona definitions, behavioural metrics, and deep analysis of forecasting and utilisation data, they designed a dashboard concept that highlights over‑optimistic planning, generic resource use, and weak feedback loops,...
Construction Project Coordination Platform
TPPSCI - Tahir Project Planning, Scheduling & Control Intelligence. High-performance 100% client-side web application suite for Primavera P6 XER viewing, DCMA 14-point checks, QSRA Monte Carlo risk analysis, schedule comparison, anonymization, and time-location diagrams.
Методика учета прогресса разработки и освоенного объема (EVM) на голых формулах Google Sheets: взвешенный по трудоемкости прогресс, EV/PV/CPI/SPI/EAC/TCPI, отделение overhead, недельные срезы с прогнозом и графиками.
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.
Dashboard kontraktor untuk monitoring progres pekerjaan, deviasi proyek, produktivitas tim, dan evaluasi kinerja kontraktor secara terukur.
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