Hal9 vs Sportlingo
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Create, visualize and deploy AI solutions. It is a great platform to learn more about AI. You can use your mobile device to classify images and since it is based on open source, you can view and edit all the code behind each block. | AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights. |
Start by importing data from Google Sheets, Excel or any other service that supports exporting your data. Simply drag the type of data you have: CSV, Excel, or JSON and open the URL or file with your data;
After importing your data, drag the chart and fields to visualize, is that simple. You can choose from bar, line, scatter, bubbles, wordclouds and many more charts;
Forecast future values by dragging a prediction, select the field to predict, the type of prediction that best fits your needs and how many values to predict into the future, is that easy;
If you want to go the extra mile, you can export your analysis to HTML and embed the results in any site that supports static HTML: Wix, WordPress, you name it. In this example, we use Hal9 and Google Analytics to visualize and embed our own worldwide daily product use | AI, Machine Learning, Analytics, API, Sports Analytics, Developer Tools |
Statistics | |
Stacks 0 | Stacks 0 |
Followers 8 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
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