Alpine Data Labs Alternatives
Alpine Data Labs is described as 'ushers in a new era for predictive analytics. It’s easy and fast, and brings contributors across the organization together to develop better insights'. There are more than 25 alternatives to Alpine Data Labs, not only websites but also apps for a variety of platforms, including Windows, Mac, SaaS and Self-Hosted solutions. The best alternative is Matomo, which is both free and Open Source. Other great sites and apps similar to Alpine Data Labs are Tableau (Paid), KNIME (Free, Open Source), RapidMiner (Freemium) and Shynet (Free, Open Source).
- Matomo, previously Piwik and before that PHPMyVisites, is a downloadable, open-source (GPL-licensed) web analytics software program.
- Freemium • Open Source
- Online
- Android
- iPhone
- Android Tablet
- iPad
- Self-Hosted
- Software as a Service (SaaS)
- PHP
- Cloudron
- Wordpress
- Tableau helps the world’s largest organizations unleash the power of their most valuable assets: their data and their people.
- Paid
- Mac
- Windows
- Online
- Self-Hosted
- Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner".
- RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment.
- Modern, privacy-friendly, and cookie-free web analytics.
- Free • Open Source
- Self-Hosted
- QlikView is Qlik’s classic analytics solution for rapidly developing highly-interactive guided analytics applications and dashboards, delivering insight to solve business challenges.
- The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big...
- Fathom Analytics provides simple, useful websites stats without tracking or storing personal data of your users.
- Simple, clean, and friendly analytics.
We just show you the essentials: page views, referrers, top pages, and screen sizes. - Combine, shape, and clean your data for analysis.