CrowdSynthetic
Open-source crowd safety simulator for event evacuation planning
A useful open-source POC for crowd safety education and early planning, but not production-ready. Best for researchers and tech-savvy event planners who can extend the code. For live events, look elsewhere.
- Event organizers for concerts and festivals needing free simulation
- Safety managers planning evacuations for stadiums and temples
- Researchers studying pedestrian dynamics and crowd behavior
- Urban planners simulating crowd movement in small layouts
- Production-ready crowd management in live events (simulation only)
- Real-time monitoring due to lack of data integration
- Non-technical users needing a polished GUI
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In short
CrowdSynthetic — Open-source crowd safety simulator for event evacuation planning. Best for Event organizers for concerts and festivals needing free simulation, Safety managers planning evacuations for stadiums and temples, Researchers studying pedestrian dynamics and crowd behavior. Free to use.
Viability Score
How likely is CrowdSynthetic to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Layout-driven geometry via layout.json
- Capacity-based zone risk scoring
- Trend-based prediction ('FRONT in X seconds')
- AI-generated recommendation text
- Heatmap overlay visualization
- Custom avatar drawing
- EVAC mode logic with freeze-frame on completion
- CSV and JSON logging of metrics
- Modularized Python source code
- MIT license open source
- Simulation in NORMAL and EVACUATION modes
- Real-time window with avatars, heatmap, UI overlays
About CrowdSynthetic
CrowdSynthetic is a proof-of-concept Python simulation tool for modeling crowd density and evacuation in concert-style layouts. It reads a configurable JSON layout (zones, stage, exits) and simulates agents moving, accumulating risk, and triggering evacuation logic. The simulation outputs real-time heatmaps, zone-level risk scores, and AI-generated recommendation text. CSV and JSON logs record all metrics for post-run analysis. It is designed for event organizers, safety managers, and researchers who need a free, lightweight alternative to commercial crowd simulation software like AnyLogic. As an open-source MIT-licensed project, it invites customization but lacks production features such as real-time data integration, 3D visualization, and a polished GUI. Best suited for early-stage planning, academic research, and understanding pedestrian dynamics in enclosed spaces.
Behind the Verdict
CrowdSynthetic fills a niche: free, open-source crowd simulation for small-scale event layouts. It's a great learning tool for students or researchers studying pedestrian dynamics, as the codebase is modular and MIT-licensed. However, the current POC is extremely limited — single layout file, no real-time data ingestion, and a basic visual simulation. It won't replace AnyLogic or Simio for serious planning. If you need something quick for an academic paper or to demonstrate evacuation concepts to non-technical stakeholders, this works. But for production use, you'll need to invest significant development effort. The heatmap overlay and trend predictions (e.g., 'FRONT in X seconds') are nice touches, but the simulation is simplistic compared to commercial tools. In practice, we'd recommend it only as a starting point, not a final solution.
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Use Cases
- Simulate crowd movement in a concert layout to identify potential congestion zones before an event.
- Test evacuation strategies by running multiple simulations with different exit configurations.
- Analyze zone-level risk scores to optimize staff placement and signage.
- Use historical simulation data to train machine learning models for real-time crowd monitoring.
- Demonstrate crowd safety concepts in academic or training environments.
Limitations
- CrowdSynthetic is a proof-of-concept simulation, not a production system.
- It requires Python 3.9+ and manual setup.
- The simulation is limited to a single configurable layout and does not support real-time data ingestion or integration with live camera feeds.
- The AI recommendation text is based on simulated data, not real-world sensors.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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