You should not have to install a platform to find out whether its scheduling is real. TruePPM’s engine is a separate Apache 2.0 Python package — the same code the platform runs on, versioned in lockstep. No server, no database, no account:
pip install trueppm-schedulerfrom datetime import date, timedeltafrom trueppm_scheduler import schedule, Project, Task, Dependency
result = schedule(Project( id="p-1", name="Verify me", start_date=date(2026, 1, 5), tasks=[ Task(id="design", name="Design", duration=timedelta(days=5)), Task(id="build", name="Build", duration=timedelta(days=10)), Task(id="docs", name="Docs", duration=timedelta(days=3)), ], dependencies=[Dependency(predecessor_id="design", successor_id="build")],))
print(result.critical_path) # ['design', 'build']print(next(t for t in result.tasks if t.id == "build").early_finish) # 2026-01-23print(next(t for t in result.tasks if t.id == "docs").total_float) # 12 days, 0:00:00Fifteen working days across two weekends, computed on a Mon–Fri calendar — and docs, off the critical path, carries twelve days of slack before the date moves. Check it against MS Project. That is why the engine ships on its own.
All four dependency types, lead/lag on every link, multi-calendar composition, cycle detection with the offending path, and Monte Carlo with per-task sensitivity. Full engine reference → · View on PyPI →
Want the whole platform, not just the engine? Install with Docker Compose — one command, five services, running in a few minutes — or read What TruePPM’s evaluators check first for a guided tour. Nothing to install yet? Try it covers the zero-config paths.
Five claims, each one checkable rather than taken on trust — and one page of the ones that go the other way.
Monte Carlo, in the free core
Three-point estimates give you P50/P80/P95 plus a per-task sensitivity ranking — which tasks actually move the finish. Across the commercial field this is a separately licensed product (Acumen Risk, Full Monte, Safran Risk, Primavera Risk Analysis) bolted onto an exported schedule. No other open-source PPM platform ships it at all. The comparison →
The engine is separable
pip install trueppm-scheduler — CPM and Monte Carlo, no server, no account, the same code the platform runs on. No other PPM tool, open or commercial, lets you audit its scheduling engine in isolation.
Board card = Gantt bar
Not synced. Not mirrored. The same row. MS Project has no agile surface; Jira has no critical path; OpenProject keeps board and Gantt as adjacent views. Here, a contributor drags a card to Done and the project manager’s finish date moves — and closing a sprint reforecasts the schedule from measured velocity. The full story →
Nothing that should be free is taxed
Apache 2.0, no seat count, no feature flags, no telemetry. SSO through your own identity provider ships in the OSS core at 0.4 — OpenProject gates OIDC behind Enterprise, Plane behind Commercial. SSO is not an enterprise feature →
Computed, not guessed
Every date and forecast is calculated by the engine with a derivation to show for it — which is what makes the schedule safe to hand an AI. An agent can compute, cite, be refused, and reproduce. The read-only MCP server lands in the 0.4 beta. How grounding works →
…and what it doesn't do
No resource leveling. One constraint type. No cost or earned value until 0.8. A measured ~1,000-task ceiling in the Schedule view. If you need automatic leveling today, use P6. The full maintained list: What TruePPM doesn’t do yet →
| Persona | Methodology | TruePPM gives them… | Guide |
|---|---|---|---|
| Project Managers | Waterfall / Hybrid | CPM schedules, Monte Carlo confidence intervals, critical path, velocity-suggested Gantt durations (automatic reforecast added in 0.3) | Guide → |
| Scrum Masters | Agile / Hybrid | Sprint board, WIP limits, velocity tracking, burndown, retrospective-to-backlog automation | Guide → |
| Product Owners | Agile / Hybrid | Backlog management, velocity-based release forecasting, sprint scope protection | Guide → |
| Team Members | Any | Board-first task view, My Work cross-project surface, real-time updates, offline sync | Guide → |
| Resource Managers | Any | Per-project capacity preflight, allocation tracking; cross-program leveling in Enterprise | Guide → |
| PMO Directors | Any | Program coordination; portfolio health scores, demand intake, governance in Enterprise | Guide → |
| Executives | Any | Monte Carlo confidence intervals per project; portfolio RAG status, board-ready reports in Enterprise | Guide → |
For everything shipped so far, release by release, see the roadmap.
Install
Set up a local instance with Docker Compose in under 5 minutes.
Try the API
Create a project and schedule — tasks, dependencies, and CPM results via curl.
Find your guide
Evaluate
Architecture overview and API reference for technical evaluation.