Live energy flow graph
See where power comes from and where it goes.
Follow each flow step from source to load without guessing.
Product
Monitor and optimize your battery system in real time.
PyMox visualizes live energy flows and gives you strategy controls for smarter energy decisions.
Move from reactive troubleshooting to proactive control with one clear product surface for monitoring, planning, and optimization.
What is PyMox?
PyMox is a dashboard, monitoring, and control layer for battery-centered energy systems.
It covers battery, solar, grid, and mixed DC/AC setups with clear visibility and automation-ready controls.
Instead of splitting insight across disconnected tools, PyMox keeps operations and strategy in one place so decisions stay consistent.
Key features
Built for operators who need visibility and control without guesswork.
Battery state and health tracking
Track SOC, charging behavior, and capacity trends.
Spot battery stress early and protect long-term runtime.
Grid import and export visibility
Monitor grid pull, export moments, and limits.
Make informed decisions around tariffs, caps, and events.
Solar, alternator, and charger inputs
Combine charging sources with clear priority control.
Coordinate sources in one model instead of manual switching.
Strategy modes
Switch between peak shaving, island mode, and more.
Choose the behavior that matches your location and constraints.
Alerts and thresholds
Get warnings for low SOC, overload, and charger issues.
Turn threshold breaches into actions before uptime is affected.
History and analytics
Review day, week, and month energy performance.
Compare trends and evaluate strategy changes over time.
Automation-ready
Connect APIs, webhooks, and external integrations.
Use your own automations while keeping PyMox as the control center.
Strategy modes
PyMox applies a clear priority model so system behavior stays predictable.
Configurable settings
- Peak shaving toggle
- Island or off-grid priority mode
- Charge-when-connected behavior
- Minimum SOC reserve threshold
- Import and export limits
Typical outcomes
- Reduce grid spikes during peak tariffs
- Stay within campsite power limits
- Protect reserve for overnight loads
- Maximize local solar self-consumption
Screenshots and walkthrough
A quick product tour of the core views users rely on every day.
Each view turns raw telemetry into actionable insight so you can protect reserve, reduce grid costs, and improve system reliability.
The screenshots below are paired with practical interpretation so operators can move from viewing data to making concrete control decisions.
Off-grid battery outlook dashboard
This view explains if your current reserve strategy can survive the forecast window and which loads are most responsible for battery depletion.
- See when reserve is expected to be reached so you can act before critical hours.
- Identify the top generators and consumers driving your projected uptime.
- Validate whether your current assumptions are conservative enough for off-grid operation.
Grid-connected battery outlook dashboard
For grid-connected systems, this panel clarifies how much performance depends on the grid versus local generation and storage behavior.
- Compare solar and grid contribution at a glance to understand true dependency.
- Check reserve threshold behavior against real load patterns and confidence levels.
- Spot avoidable losses that erode battery efficiency over the planning horizon.
Daily energy balance chart
This chart gives a clean day-by-day balance between production and demand, making trend changes visible before they become operational issues.
- Track daily shifts in generation, consumption, and net energy in one timeline.
- Detect drift in demand or production early instead of relying on weekly averages.
- Measure the impact of strategy changes after load scheduling or hardware updates.
Battery history and deep discharge chart
Battery history exposes how hard the system cycles in practice, so you can protect battery health while keeping enough usable capacity.
- Review SoC volatility and daily min/max behavior across the selected period.
- Quantify deep-discharge frequency to evaluate long-term stress on the battery bank.
- Tune reserve policy and charging windows to reduce avoidable degradation.
Integrations and compatibility
Designed to integrate with common inverter and charger setups.
Victron-style inverter and charger setups
Hybrid inverter and battery systems
Shore power and campsite connections
Solar MPPT and alternator charging inputs
Who PyMox is for
Explore detailed scenarios on the use-cases page.
Built in public
PyMox is developed in the open with a transparent roadmap and regular updates.
Start optimizing your energy system today.
Start with a clear baseline, apply strategy, and keep improving performance as your system evolves.