Sold by: ThinkCloud
Deployed on AWS
AWS Free Tier
A pre-configured ECharts 6.0 data visualization environment fully tested and optimized on Ubuntu 24.04 LTS. Built for developers looking to deploy stunning interactive dashboards, real-time analytics platforms, or server-side chart rendering tools without spending hours resolving package dependency and engine conflicts.
Overview
Integrating high-performance data visualizations into production environments can lead to unexpected package mismatches or headless rendering failures. This production-ready Amazon Machine Image (AMI) provides a clean, fully validated installation of the latest ECharts 6.0 on a rock-solid Ubuntu 24.04 LTS base.
The package comes equipped with stable active LTS Node.js, standard build tools, and optional server-side rendering libraries (like canvas/canvas-prebuilt dependencies) pre-configured. Whether you are generating chart images dynamically on the backend, setting up responsive web dashboards, or benchmarking big-data rendering speeds, this template delivers a streamlined workflow.
Save time on environmental overhead and launch your data analytics, business intelligence, or tracking dashboards instantly with zero setup delays.
Highlights
- Fully verified on Ubuntu 24.04 LTS with latest ECharts 6.0 pre-configured.
- Pre-installed Node.js active LTS and essential chart rendering engines.
- Lightweight and secure boilerplate tailored for instant dashboard deployment.
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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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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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 |
|---|---|
t3.large Recommended | $0.06 |
t3.micro | $0.06 |
t2.micro | $0.06 |
r7iz.metal-32xl | $0.06 |
r5d.12xlarge | $0.06 |
r7i.large | $0.06 |
r6id.32xlarge | $0.06 |
m8i-flex.4xlarge | $0.06 |
x2iedn.xlarge | $0.06 |
r7i.8xlarge | $0.06 |
Vendor refund policy
no refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Updated to the latest
Additional details
Usage instructions
SSH to the instance and login as 'ubuntu' using the key specified at launch.
To run the ECharts 6.0 visualization template, follow these steps:
Switch to root user: sudo su -
Navigate to the project directory: cd /root/my-echarts-project
Install dependencies: npm install
Start the application: npm start
Additional information on connecting via SSH may be found at: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html
Support
Vendor support
AWS infrastructure support
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