Getting started, self-hosting, the REST & webhook API, and the scheduling engine internals — maintained right alongside the code.
Read the full documentation at docs.trueppm.com.
Spin up TruePPM, import a project, derive the schedule, and read your first forecast.
Bring a Postgres, run the stack with Docker Compose, and wire up single sign-on (OIDC/OAuth).
Everything the app can do, the API can do — schedules, forecasts, and a webhook on every change.
The standalone critical-path (CPM) + Monte Carlo Python package on PyPI — pip install trueppm-scheduler.
The end-to-end hybrid workflow in plain narrative, plus a guide for each of the eight roles — PM, Scrum Master, product owner, executive, and more.
What's shipped, what's underway, and what's planned through 1.0, with 0.4 as the first beta. Target dates, at the precision we actually have.
Judging TruePPM against your current stack — what to try first, what it does not do yet, and the questions worth asking of any P3M tool.
The engineering practice, with the evidence: what blocks a merge, how the test harness catches its own blind spots, the limits we don't paper over — and the commands to verify every claim yourself.