Sold by: bCloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support.. VisPy is a high-performance Python library for interactive 2D and 3D visualization using OpenGL. It is mainly used in scientific computing, data visualization, and real-time graphics applications.
Overview
VisPy on Ubuntu 24.04 with Free Maintenance Support by bCloud
VisPy on Ubuntu 24.04, with maintenance support from bCloud, is a repackaged open-source offering available through the AWS Cloud Marketplace (additional charges may apply for support). VisPy is a high-performance interactive scientific visualization library for Python that leverages modern OpenGL to render large datasets, complex graphics, and real-time visualizations efficiently.
This AWS Marketplace AMI provides a pre-configured VisPy environment on Ubuntu 24.04 for deployment on AWS EC2, enabling developers, researchers, data scientists, engineers, and AI practitioners to rapidly build interactive visualization applications, accelerate scientific computing workflows, and process large-scale visual data with minimal setup effort.
Keywords of VisPy
- AWS Marketplace AMI deployment
- Python scientific visualization
- OpenGL accelerated rendering
- Interactive data visualization
- GPU-accelerated graphics
- Real-time data rendering
- Large-scale dataset visualization
- Scientific computing and analytics
- Optional bCloud maintenance support
Core Technical Capabilities of VisPy
GPU-Accelerated Rendering
VisPy leverages modern OpenGL APIs to deliver high-performance rendering for complex visualizations.
- hardware-accelerated rendering using GPUs
- optimized for large datasets and real-time updates
- efficient use of modern graphics pipelines
Interactive Scientific Visualization
VisPy enables responsive and interactive exploration of scientific and analytical data.
- interactive 2D and 3D visualizations
- zooming, panning, and real-time navigation
- support for dynamic and streaming data
Python Ecosystem Integration
VisPy integrates with popular Python libraries used in scientific computing and machine learning.
- compatible with NumPy, SciPy, and Pandas
- supports Jupyter and Python development workflows
- integration with PyQt, PySide, and other GUI frameworks
Flexible Visualization Framework
VisPy provides both high-level APIs and low-level graphics control for custom applications.
- scene graph architecture for complex visualizations
- custom shaders and OpenGL programming support
- extensible framework for specialized use cases
Developer and Research Tools
VisPy provides capabilities for advanced visualization, experimentation, and application development.
- support for custom visual components
- rapid prototyping for research projects
- suitable for AI, simulation, and scientific applications
- cross-platform development capabilities
AWS Marketplace-Optimised Advantages
AMI-Based EC2 Deployment
AWS Marketplace AMI deployment provides:
- VisPy pre-installed on Ubuntu 24.04
- ready-to-use scientific visualization environment
- reduced setup and configuration time
AWS Infrastructure Compatibility
VisPy environments on EC2 can be managed using standard AWS tools:
- VPC and Security Groups for secure access
- EBS for scalable storage and data management
- support for GPU-enabled EC2 instances
- integration with monitoring and logging tools
Procurement and Billing
AWS Marketplace supports:
- centralised billing through AWS accounts
- simplified procurement and deployment
Maintenance Support (bCloud)
Optional bCloud support may include:
- updates and patch management
- technical troubleshooting
- deployment and operational assistance
- GPU and rendering environment optimisation guidance
Support beyond the open-source VisPy environment may incur additional charges.
Highlights
- Uses GPU acceleration via OpenGL for fast rendering
- Supports interactive 2D and 3D visualization
- Works with multiple GUI backends like PyQt and GLFW
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
t3.medium | $0.10 |
t2.2xlarge | $0.10 |
t2.medium | $0.10 |
t3.nano | $0.10 |
t3.large | $0.10 |
r3.large | $0.10 |
r4.large | $0.10 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance type you run. Each dimension maps to a specific instance size, so pricing scales with the compute capacity you choose. Options span several instance families: t2 and t3 general-purpose burstable instances, m3, m4, and m5 general-purpose instances, c3, c4, and c5 compute-focused instances, and r3, r4, and r5 memory-focused instances. Larger or more specialized instances carry higher hourly rates. You are billed only for the hours each instance runs, with no upfront commitment or fixed term.
Top-of-mind questions for buyers
Each dimension covers the software running on one AWS EC2 instance of that named size, billed per hour. The product is an AI-powered search and product discovery platform. You choose the instance type that fits your workload, and the hourly rate reflects that instance's compute, memory, or general-purpose profile.
Software charges apply per hour only while an instance runs. Fully stopped instances do not accrue hourly software charges. Stopped instances may still incur separate AWS storage fees for attached volumes, but the software meter counts running time only.
The t2, t3, m3, m4, and m5 families give balanced general-purpose compute. The c3, c4, and c5 families favor compute-heavy tasks. The r3, r4, and r5 families provide more memory for data-intensive work. Match the family to your search index size and traffic, then pick a size within it.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #cd /opt #source vispy-env/bin/activate #python #import vispy print(vispy.version)
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
This product has charges associated with it for seller support. An open-source Python library for high-performance interactive scientific visualization, leveraging GPU acceleration and modern OpenGL.
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