Skip to main content

PowerTree

Electronic circuit power tree analysis — a fully offline desktop app for budgeting power from source to load with min/typ/max corners, margin analysis, a live flowchart, and report-grade exports (PDF / HTML / Excel / CSV / PNG).

version python license — PySide6 · Windows-first · no accounts, no internet.

pip install powertree
powertree-gui                      :: desktop app (opens with a Zynq demo board)
powertree --help                   :: full CLI

What it does

  • Projects hold many power trees (.ptproj, versioned JSON, self-contained).
  • Elements: one Source per tree (V min/typ/max + current or power limit), Converters (efficiency %, Vout corners, quiescent current, optional output limit, pass-through output rail for sub-loads), Loads (current- or power-type, typ/peak value, allowed input-voltage window for margin checks), Series elements (resistance, bounded so the math never breaks). Every element carries the same metadata: name, signal name, ref des, part number, pin(s), datasheet link, notes.
  • Blocks group elements visually (e.g. one IC with Icc + Iq loads) and show aggregate power.
  • Bottom-up solver, auto-refresh: every edit re-solves all three corners (damped fixed-point for series-R × power-load interaction) and repaints instantly.
  • Margin analysis: source/converter limit usage, load under/over-voltage vs its allowed window, step-down/boost sanity, collapsed-rail detection — surfaced as findings, node badges, list statuses, and report sections.
  • Views: color-coded flowchart (90° routed arrows with rail labels, legend, collapse/expand chips, no overlaps, power text on every card) + hierarchical list view. Layouts: top-down, left-right, or custom drag-to-place.
  • Search (Ctrl+F) across name/signal/refdes/part/pins/notes — highlights the canvas and filters the list.
  • Documentation notes: hierarchical markdown notes with embedded images, linked to elements — capture where every number came from.
  • Exports: PDF report (flowcharts + tables + margins + full notes appendix), macro-enabled Excel report (.xlsm with outline collapse + VBA navigation macros; falls back to .xlsx + importable .bas when VBA trust is off), HD PNG flowchart, notes → Markdown / HTML / PDF.

Install & run

From PyPI (recommended):

pip install powertree            :: add powertree[mcp] for the AI/MCP server
powertree-gui                    :: GUI
powertree info my.ptproj         :: CLI (same entry: powertree --help)

From source:

git clone https://github.com/bin2ai/powertree
cd powertree
py -3.12 -m venv .venv
.venv\Scripts\pip install -r requirements.txt
.venv\Scripts\python.exe main.py         :: or double-click PowerTree.bat

Standalone Windows installer (no Python needed) — build dist\PowerTree-Setup.zip with installer\build_installer.ps1, unzip, run install.bat (per-user install, Start-Menu/Desktop shortcuts, uninstaller; installer\PowerTree.iss builds a setup.exe when Inno Setup is present).

Onboarding: press F1 in the app (Quick start), or read docs/QUICKSTART.md and docs/USER_GUIDE.md. A full feature tour with screenshots: artifacts/PowerTree_Feature_Overview.pdf.

The app opens with a built-in demo (a realistic Zynq-7000 carrier board) so every feature is visible immediately.

Four ways to use it

Mode How
GUI powertree-gui — flowchart, list, properties, states, notes, search, waivers
CLI powertree info|solve|validate|nets|headroom|growth|bom|search|export|templates|demo … — JSON with --json; validate exits non-zero on violations (--strict fails on warnings too)
Excel macro-enabled report export, native outline collapse, live formulas, States/Parts sheets
AI / MCP powertree-mcp — 16 tools (open/solve/validate/edit/waive/export); see examples/mcp.json.example for Claude Code / Desktop registration
powertree info examples\DemoBoard.ptproj
powertree validate examples\DemoBoard.ptproj --strict   && echo margins clean
powertree growth examples\DemoBoard.ptproj              :: +N% load headroom
powertree export bundle examples\DemoBoard.ptproj -o out\   :: all formats

Tests

.venv\Scripts\python.exe -m pytest tests -q

14 tests cover the solver math (hand-checked corner cases incl. the series-R + power-load fixed point), model constraints, and file-format round-tripping.

Layout

main.py                  launcher
src/powertree/
  model/    elements, bottom-up solver (calc.py), .ptproj serialization
  ui/       main window, flowchart canvas, tidy-tree layout, list view,
            properties, notes, dark theme
  export/   PDF report, Excel (.xlsm/COM + .xlsx), HD PNG, notes MD/HTML/PDF
  sampledata.py  demo project
tests/       pytest suite
examples/    DemoBoard.ptproj
notes/       Obsidian knowledge base (project docs, not app data)

Excel macros note

.xlsm export embeds VBA (expand/collapse outline, next-finding navigation) through Excel COM, which requires File → Options → Trust Center → Trust Center Settings → Macro Settings → “Trust access to the VBA project object model”. Without it you get an identical .xlsx plus PowerTree_Macros.bas to import manually (Alt+F11 → File → Import).

Roadmap ideas

Resistive loads · operating modes / duty-cycle scenarios · undo-redo · temperature derating · CSV/BOM import · converter component library · rail sequencing checks · per-corner load values.


Scaffolded 2026-08-06. See CLAUDE.md for how Claude works in this project.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

powertree-0.6.0.tar.gz (113.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

powertree-0.6.0-py3-none-any.whl (115.4 kB view details)

Uploaded Python 3

File details

Details for the file powertree-0.6.0.tar.gz.

File metadata

  • Download URL: powertree-0.6.0.tar.gz
  • Upload date:
  • Size: 113.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for powertree-0.6.0.tar.gz
Algorithm Hash digest
SHA256 488cdc0d61073d49481622b282980be1ce0ec935e5b4e88284e7ee7dae639384
MD5 8a903d8a496abcfc0bb1d66f2a66e7ac
BLAKE2b-256 877618dfa2dafd52ec0ce44b58d2e7fa8bad53ea42bb17878316987cd1963d48

See more details on using hashes here.

Provenance

The following attestation bundles were made for powertree-0.6.0.tar.gz:

Publisher: publish.yml on bin2ai/powertree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file powertree-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: powertree-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 115.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for powertree-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d377b321bbb57f137b871469784cc27e16640c831bf8c8be51c8b38bd869f270
MD5 3b14b3cf227dc3bf3fd344d11d9f1c53
BLAKE2b-256 545bc0c6b25f3b5634e2150256f25d2603d2723dee0a6e7c7293eb18dbf2f921

See more details on using hashes here.

Provenance

The following attestation bundles were made for powertree-0.6.0-py3-none-any.whl:

Publisher: publish.yml on bin2ai/powertree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.9.0

2 files

0.8.0

2 files

0.7.0

2 files

This release

0.6.0 This release

2 files

0.5.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page