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Description

FireStats is a comprehensive web statistics tool that is available for free for non-commercial purposes, though users are encouraged to contribute through donations. For those seeking to utilize FireStats in a commercial capacity, a fee of $25 per installation is required. This platform prioritizes user privacy, providing an alternative to services such as Google Analytics that have faced scrutiny over privacy concerns. It offers real-time statistics, including recent referral sources, search engine keywords, and trending pages, while organizing browser and operating system data based on relevance. Users can view the geographical location of their visitors through IP-to-country mapping, ensuring insights into where their audience originates. Additionally, FireStats provides a 'raw log' of recent hits, effectively filtering out unwanted entries from the database. With its Ajax user interface, users can refresh statistics without reloading the entire page, simply by clicking the ‘refresh statistics’ button. A single installation is capable of monitoring multiple websites on the same server, and it supports multiple user accounts, allowing for granular control over site access for each user. Designed to be compatible with all major web browsers, including Firefox, Internet Explorer, and Opera, FireStats has been translated into 18 different languages, with ongoing efforts to expand its linguistic reach further. This versatility and focus on user privacy make FireStats a compelling choice for website analytics.

Description

SAS/STAT offers precise methods tailored for small datasets, powerful statistical modeling capabilities suitable for large-scale data, and contemporary techniques for handling missing data. Additionally, the software undergoes frequent updates, allowing users to leverage the latest advancements in the ever-evolving statistics domain. With a legacy spanning over forty years in creating cutting-edge statistical analysis tools, SAS has built a strong reputation for providing outstanding and dependable outcomes. The rigorous quality assurance and testing procedures ensure that each software release meets high standards. Users can trust that the code generated with SAS/STAT complies with both corporate and governmental regulations, ensuring reliability. Furthermore, a wide array of customizable charts and graphs is available, promoting clarity in statistical outputs and making the results of your analyses straightforward and accessible. This combination of features makes SAS/STAT an invaluable resource for statisticians and data analysts alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

DDN WOS
Django
Drupal
Joomla!
MediaWiki
PHP
TiMi
WordPress

Integrations

DDN WOS
Django
Drupal
Joomla!
MediaWiki
PHP
TiMi
WordPress

Pricing Details

$25 one-time payment
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

FireStats

Country

United States

Website

firestats.cc/

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en/software/stat.html

Product Features

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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