PathSim vs TestFlows Machine
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
PathSim compared with TestFlows Machine
| Detail | P
PathSim | 
TestFlows Machine |
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| What it does | Python framework for building and simulating dynamical systems using block diagrams
| Run your programs deterministically. Record, replay, and branch your runs.
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
| Freemium
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| Pricing | Not given
| Free: €0 with ₡3 credits included each month (about 20 vCPU-hours). Starter: €10/month with ₡25 credits (about 166 vCPU-hours). Plus: €25/month with ₡65 credits (about 433 vCPU-hours). Pro: €50/month with ₡150 credits (about 1,000 vCPU-hours). Dedicated: contact sales. Usage credits: €1 a credit, pu
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| Key features | - 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
| - Record runs with non-deterministic inputs pinned down
- Replay runs instruction-by-instruction
- Checkpoint and fork from any point
- Fault injection for disk, network, clock, containers and system calls
- Built-in debugger for machine programs
- Machine client and Python SDK
- Cloud storage for runs and disk images
- Multiple simultaneous sessions with configurable vCPUs
- Configurable session disk up to 256G
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| What makes it different | - 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
- MIT license with open source development
| - Deterministic replay of program runs with identical outcomes
- Fork and branch from any point without losing original timeline
- Comprehensive fault injection testing built-in
- Pay-as-you-go usage credits with free plan available
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 38 ▼ −1 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 4 |
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| Citation Flow (Majestic) | 14 | 21 |
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| Referring domains (Majestic) | 18 | 27 |
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4 details filled in for both companies.
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