Scheduling Accuracy & Reliability Update
Fixes stale calculations, multiple dependency analysis, misleading Dashboard alerts, fractional S-Curve progress and Gantt recovery.
Explore this release →Explore the history of our open-source Excel scheduling engine: new project controls features, Gantt improvements, simulation, internationalization and reliability fixes.
Fixes stale calculations, multiple dependency analysis, misleading Dashboard alerts, fractional S-Curve progress and Gantt recovery.
Explore this release →Track activity budgets, actual expenses, cost forecasts and cash flow, with independent and shared financial data across projects.
Explore this release →A 29-step bilingual tutorial with Discovery and Practice modes, redesigned dialogs, smarter message windows and improved onboarding.
Explore this release →Embedded 18-command Ribbon, import of previous ProjectEngine projects, first-use welcome screen, better Gantt navigation and reduced redundant Excel writes.
Explore this release →Fixes Full Update, Forced Planning Update and Gantt refresh in valid schedules with no predecessors.
Explore this release →Language-independent schemas for 81 visible columns, global date formats, Excel Notes fallback and S-Curve cache fix.
Explore this release →Improved predecessor updates, summary SS/FF analytics, Longest Path REX and dependency-arrow reliability.
Explore this release →Unified Gantt update pipeline, differential rendering, one SVG dependency layer and improved large-project responsiveness.
Explore this release →TEST and Drag & Drop now recalculate critical path, longest path and float; Reset restores the prior calculated view.
Explore this release →First stable baseline integrating dependency scheduling, critical-path analytics, simulation, Gantt, Dashboard and S-Curves.
Explore this release →For every published asset, complete technical details and historical pre-releases, visit the official GitHub release archive. Dates and numbering follow the original GitHub releases; the summaries here are curated for discoverability.