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Showing 4 open source projects for "load"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Plausible Analytics
Simple, open-source, lightweight and privacy-friendly web analytics
... for surveillance capitalism. Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive too. Plausible Analytics is built for privacy-conscious site owners. You get valuable and actionable stats to help you improve your efforts while your visitors keep having a nice and enjoyable experience. Plausible is simple analytics. It is easy to understand and it cuts through the noise. -
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Use Pentaho open source business intelligence tools and MySQL to collect & distribute web analytics (clickstream) data. Extract data from logs, load database tables, & present the information in dashboards, analysis cubes, and reports for business users. This project has been moved to github - https://github.com/cjlavigne/breadboard
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Mojo Clicks is a simple click tracker easily installed in just 4 steps: 1) Create the database 2) Load the tables 3) Configure the database definitions file 4) Use the script. Uses PHP and MySQL. Features: editable link tracking and referrer tracking.
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Subspace Tracker is a central web analytics system that allows you to have your own analytics service but with some additional benefits for page load speed and privacy.
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Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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