Matomo vs Numerics
Struggling to choose between Matomo and Numerics? Both products offer unique advantages, making it a tough decision.
Matomo is a Online Services solution with tags like analytics, tracking, privacy, opensource.
It boasts features such as Real-time analytics, Customizable dashboards, Goal and funnel tracking, Heatmaps, A/B testing, Custom segments, API access, Plugin ecosystem and pros including Open source and self-hosted, Strong focus on privacy, Powerful free community edition, Highly customizable and extensible.
On the other hand, Numerics is a Science & Engineering product tagged with data-analysis, data-visualization, scientific-computing, engineering, science, finance.
Its standout features include Interactive data analysis environment, Supports multiple programming languages like Python, R, Julia, etc, Visualization capabilities including 2D and 3D plotting, Statistical analysis tools, Can connect to databases and big data platforms, Extendable with custom scripts and plugins, and it shines with pros like Free and open source, Cross-platform compatibility, Powerful analytics and visualization, Customizable and extensible, Supports connecting to data from different sources.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Matomo
Matomo is an open-source web analytics platform that focuses on data privacy. It can track visits, page views, downloads, and more on websites, apps, etc. Matomo aims to provide valuable insights while letting users retain control over their data.
Categories:
Matomo Features
- Real-time analytics
- Customizable dashboards
- Goal and funnel tracking
- Heatmaps
- A/B testing
- Custom segments
- API access
- Plugin ecosystem
Pricing
- Open Source
- Freemium
- Subscription-Based
Pros
Cons
Numerics
Numerics is an open-source data analysis and visualization software for scientific computing. It provides an interactive environment for analyzing and visualizing numeric data from a wide range of domains including engineering, science, finance, and more.
Categories:
Numerics Features
- Interactive data analysis environment
- Supports multiple programming languages like Python, R, Julia, etc
- Visualization capabilities including 2D and 3D plotting
- Statistical analysis tools
- Can connect to databases and big data platforms
- Extendable with custom scripts and plugins
Pricing
- Open Source