Fill your GitHub contribution graph with real, backdated commits
Python framework for building and simulating dynamical systems using block diagrams
Stage
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Founded
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Based in
CA
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Pricing model
Freemium
Open source
Pricing
Free: preview and first fill up to 7 days and 20 commits. Coffee: $5 USD one-time for one 365-day window. Time Machine: $12 USD one-time for every year since you joined. Autopilot: $3.99 USD per month or $29 USD per year for streak insurance with automatic commits on missed days.
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Key features
Live preview on your real graph with no sign-in required
Realism engine with six personas and seeded rerolls
Manual painting with brushes 1–4
Gap-only mode to respect existing contributions
Text and pixel art mode on Time Machine and Autopilot
One-click undo that deletes the generated repository
Private repository support on Time Machine and Autopilot
Contribution Doctor preflight checks
Autopilot streak insurance with configurable commit frequency
Multi-repo spread up to three repositories on Time Machine and Autopilot
30+ solvers including implicit, explicit, and adaptive integrators
Zero-crossing detection and scheduled events for hybrid systems
Hot-swappable blocks and solvers during active simulation
Hierarchical subsystems for modular component design
MIMO support with multiple input and output ports
Browser-based visual editor with PathView
Domain toolboxes for chemical, battery, vehicle, flight, and RF engineering
Custom blocks through subclassing the base Block class
Supports continuous-time, discrete-time, and hybrid systems
FMI integration to wrap Co-Simulation and Model-Exchange FMUs
What makes it different
Real, inspectable commits with no hidden activity
Realistic patterns based on developer behavior modeling
Preview before payment on your real GitHub graph
Complete undo in one click with automatic account restoration
Timezone-aware commits with proper timestamp handling
Readable, scriptable alternative to traditional simulation tools with solver depth
Full ecosystem including FastSim Rust engine and standalone C code generation
Minimal runtime dependencies: only numpy, scipy, and matplotlib
Domain-specific toolboxes for chemical, battery, vehicle, flight, and RF engineering
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