How much does Openeb cost?

Openeb is a paid SDK. Pricing details are not publicly listed on the official website, but it is offered as a commercial product by Prophesee. You can contact their sales team for a quote based on your use case and license type.

Does Openeb have a free trial?

Openeb does not have a free tier, but a fully functional evaluation version might be available upon request. Prophesee's Metavision Intelligence suite includes a free community edition, but the advanced PRO features in Openeb require a paid license.

Is Openeb good for industrial automation?

Yes, Openeb is well-suited for industrial automation. It provides real-time, low-latency detection with sub-millisecond response times and 100Hz pre-built pipelines, enabling high-speed quality control and predictive maintenance on assembly lines. Its low power consumption and high dynamic range also make it ideal for edge deployments.

What are the alternatives to Openeb?

Alternatives include Prophesee's own Metavision Intelligence (free community edition), IniVation's DV SDK, and open-source libraries like AEStream or event-based frameworks on neuromorphic hardware. For frame-based processing, traditional computer vision libraries like OpenCV would be alternatives, though they lack event-based sensor support.

Who should avoid Openeb?

Beginners with no programming experience should avoid Openeb, as it requires proficiency in C++ or Python. Also, users needing standard frame-based video processing, a fully turnkey no-code solution, or applications that can tolerate high latency should consider other tools. Teams without access to Prophesee event-based hardware cannot use the SDK's full capabilities.

What are the limitations of Openeb?

Openeb requires event-based hardware (e.g., Prophesee sensors) for real-time input, though it supports synthetic data generation. It has a learning curve for those new to event-based vision. The SDK is primarily for advanced developers, lacking a drag-and-drop interface. Pricing is not transparent, and it may be costly for individual researchers.

What integrations does Openeb support?

Openeb integrates with Prophesee event-based cameras and supports standard APIs like COCO for object detection KPIs. It provides high-performance C++ and Python APIs, and it works with GPU-accelerated pipelines for synthetic data generation. However, it does not natively integrate with popular cloud platforms or databases out of the box.

Is Openeb easy to learn?

Openeb has a moderate learning curve. It offers 105 code samples, 17 tutorials, and comprehensive documentation, making it accessible to experienced developers. However, beginners in programming or event-based vision may find it challenging due to the need for C++/Python skills and understanding of neuromorphic concepts.

Does Openeb require specific hardware?

Yes, Openeb is designed for Prophesee event-based sensors and requires compatible hardware (e.g., EVK, ATIS, or other Metavision sensors) for real-time acquisition. However, it includes a Video-to-Event pipeline to generate synthetic event data from standard video, enabling development and testing without physical hardware.

Is Openeb good for real-time object detection?

Yes, Openeb excels at real-time object detection with a pre-built ML detection and tracking pipeline that runs at 100Hz. It includes a pre-trained automotive model from 15 hours of driving data with 23 million labels. Its event-based approach provides sub-millisecond latency, ideal for high-speed applications.

Openeb

Q: Who is Openeb best for?

Openeb is best for computer vision researchers exploring neuromorphic sensing, industrial automation engineers needing real-time low-latency detection, defense and aerospace developers for high-speed surveillance, robotics engineers integrating event-based cameras, and ML practitioners working on event-based neural networks.

Paid

Open source event-based vision SDK for real-time, low-power AI.

By Tanmay Verma, Founder · Last verified 05 Jul 2026

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Added 6d ago

77/100Safe Bet

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In short

Openeb — Open source event-based vision SDK for real-time, low-power AI. Best for Computer vision researchers exploring neuromorphic sensing, Industrial automation engineers needing real-time, low-latency detection, Defense and aerospace developers for high-speed surveillance. Paid pricing.

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Is Openeb actually worth it?

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Editorial Verdict

Best for

Computer vision researchers exploring neuromorphic sensingIndustrial automation engineers needing real-time, low-latency detectionDefense and aerospace developers for high-speed surveillanceRobotics engineers integrating event-based camerasML practitioners working on event-based neural networks

Not ideal for

Beginners with no programming experienceUsers needing standard frame-based video processingThose requiring a fully turnkey, no-code solutionApplications that can tolerate high latency or redundant dataTeams without access to Prophesee event-based hardware

The most comprehensive open-source SDK for event-based vision, packed with algorithms, ML tools, and pre-built pipelines. Best for developers ready to invest in Prophesee hardware and learn neuromorphic programming — not for beginners or those needing a no-code solution.

Last verified: July 2026

What independent users actually report about Openeb

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

2 mentions across 2 sources (Bluesky, GitHub).

20% positive80% critical

Recurring strengths

+Open source SDK with 64 algorithms for event-based vision.
+Supports ultra-low latency and high dynamic range processing.
+Includes pre-built ML detection and tracking pipeline at 100Hz.
+Offers large dataset and award-winning object detector from NeurIPS.
+Reduces data volume by 10-1000x compared to frame-based cameras.

Recurring frustrations

−No real user feedback available to verify any claimed benefits.
−Community confusion with OpenEBS storage project may mislead searchers.
−Very low community activity on major platforms like Reddit and HN.
−Niche appeal may limit available third-party tutorials and help.
−Event-based hardware required, increasing total cost of adoption.

Patterns worth knowing

Insufficient community discussion makes evaluation impossible

Seen on Bluesky, GitHub

Name collision with OpenEBS storage project causes confusion

Seen on GitHub

Learning curve

advancedProductive in ~A few hours

Hidden costs people mention

• Event-based camera hardware not included
• Potential enterprise licensing costs unclear

Viability Score

77/100

Safe Bet

How likely is Openeb to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum

funding runway

website health

wrapper dependency

100

Last calculated: July 2026

How we score →

Key Features

64 algorithms for event-based processing
105 code samples and 17 tutorials
Pre-built ML detection & tracking pipeline at 100Hz
Training framework with 4 tensor representations and automated HDF5 dataset generation
Video to Event pipeline for synthetic data generation (GPU-compatible)
Event to Video converter for annotation leveraging frame-based networks
Object Detection KPI toolkit (COCO API compatible)
Camera calibration utilities
High-performance C++ and Python APIs
Pre-trained automotive model (15h, 23M labels)
Live detection and tracking demo
Grading and visualization tools
Optical flow inference with pretrained self-supervised models
Corner detection & tracking for AR/VR at 100Hz
Gesture classification inference and training

About Openeb

PaidIntermediateAPI availableDesktop · API · CLI

Openeb is the open-source Metavision SDK5 PRO from Prophesee, a comprehensive toolkit for building real-time, low-power computer vision applications with event-based sensors. Unlike traditional frame-based cameras, event-based sensors capture only scene changes asynchronously, enabling sub-millisecond latency, ultra-high dynamic range, and 10–1000x data reduction. This SDK is designed for researchers, engineers, and developers working in industrial automation, defense, XR, and robotics who need to process high-speed motion without the bandwidth and power costs of conventional video. The SDK includes 64 algorithms, 105 code samples, and 17 tutorials spanning machine learning, computer vision, camera calibration, and high-performance applications. It features pre-built pipelines for detection (100Hz live tracking & tracking), training with 4 tensor representations and automated HDF5 dataset generation, Video-to-Event conversion (GPU-compatible), Event-to-Video conversion, and an Object Detection KPI toolkit compatible with COCO API. The machine learning toolkit includes the most performant event-based object detector spotlighted at NeurIPS and the largest HD event-based dataset. Openeb provides both C++ and Python APIs, a development license, binaries, source code, 2-hour premium onboarding support, and access to extensive documentation (300+ pages). Its open-source architecture ensures full interoperability with Prophesee hardware and the broader event-based community. The SDK is now included with USB EVK purchase or available as a standalone commercial license. Compared to frame-based vision SDKs (e.g., OpenCV), Openeb is purpose-built for event cameras, offering native event processing that frame-based tools cannot emulate. It excels in high-speed, low-latency, and low-power scenarios but requires technical programming skill and typically Prophesee hardware.

Behind the Verdict

Openeb (Metavision SDK5 PRO) is the definitive toolkit for anyone serious about event-based vision. It's not a casual library — it's a full development environment with 64 algorithms, 105 code samples, and 17 tutorials that took Prophesee 7+ years to build. The ML pipeline is standout: the pre-trained automotive model (15h, 23M labels) runs live detection at 100Hz, and the training framework with 4 tensor representations is well-suited for research. Pick this when you have Prophesee hardware (USB EVK) and need to build real-time detection, tracking, optical flow, or vibration monitoring with ultra-low latency. The Video-to-Event and Event-to-Video converters are clever bridges for synthetic data generation and annotation reuse. Pass if you're a beginner or need a plug-and-play solution — no-code is not an option. You'll need proficiency in Python or C++, and the hardware investment (EVK purchase) is effectively required for full capability. Also, if your application can tolerate standard frame-based cameras and higher latency, traditional tools like OpenCV are simpler and cheaper. Compared to alternatives like Inivation's SDK or Samsung's event-based libraries, Openeb leads in breadth of algorithms, dataset size, and community support. However, its dependency on Prophesee's ecosystem can be a lock-in — you're tied to their sensors and commercial licensing for production. In practice, we'd reach for Openeb when prototyping an event-based system for industrial high-speed counting, drone detection, or AR/VR marker tracking. The 2-hour premium onboarding is a nice touch, but expect a steep learning curve if you're new to asynchronous vision. Recent news about Prophesee's Mantara drone detection system and €20M fundraise signal strong commercial momentum, reinforcing

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Use Cases

Build real-time object detection and tracking for autonomous vehicles using event-based cameras.
Train custom event-based neural networks for industrial quality inspection.
Convert standard video to event streams to augment training datasets.
Develop high-speed surveillance systems with 100Hz inference.
Create medical devices that restore partial vision using neuromorphic sensing.
Implement power-efficient visual wake-up for IoT devices.

Models Under the Hood

PointNet++FoldingNet

Limitations

The SDK is primarily designed for Prophesee hardware (EVK, IMX636 sensor).
While open source, full functionality and commercial use require a separate commercial license.
The learning curve is steep for those new to event-based vision.

Integrations

PyTorchHDF5COCO APIPointNet++FoldingNett-SNE

Resources & Guides

Frequently Asked Questions

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