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features
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support

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Description

ChemStat stands out as the most user-friendly and rapid solution for performing statistical evaluations on groundwater monitoring data at RCRA facilities. This application encompasses a wide range of statistical techniques outlined in the 1989 and 1992 USEPA statistical analysis documents, the USEPA Draft Unified Guidance Document, the U.S. Navy Statistical Analysis Guidance document, along with various other recognized guidance and methodologies from esteemed statistical literature. Its remarkable blend of simplicity and cutting-edge technology positions ChemStat as the leading choice for environmental statistical analysis. The constraints on data set size are primarily determined by the computer's memory for the majority of tests, allowing for an extensive array of parameters, wells, and sample dates. Additionally, users can enjoy the flexibility of having limitless parameter names and well label lengths, and they can easily exclude specific data points from their analyses, enhancing the application’s versatility even further. This makes ChemStat an invaluable tool for professionals dealing with complex environmental data.

Description

StatHat offers comprehensive time series visualizations of your statistics, allowing you to analyze various metrics from the last hour to the last decade. With the precision of a vigilant eagle observing from its high perch, StatHat monitors your data and promptly alerts you if any anomalies arise. There is no setup required, enabling you to easily track the trajectory of your statistics. The platform examines your data meticulously and generates forecasts for the next month. Additionally, StatHat seamlessly integrates with tools like Status Board, PagerDuty, Slack, and Campfire, and it features an API that supports both datasets and alerts. Implementing StatHat into your applications is a breeze, requiring just a single line of code. We provide libraries for 16 programming languages, along with tailored code snippets that you can readily incorporate into your projects. StatHat is entirely free for up to 10 statistics, while unlimited usage is available for a monthly fee of $99, which allows for up to 10,000 unique stats, eliminating the need for intricate plans or tiers to manage. Furthermore, the user-friendly nature of StatHat ensures that even those with minimal technical experience can harness its powerful capabilities effortlessly.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PagerDuty No 
Slack No 
SquadCast No 
Zenduty No 

Integrations

PagerDuty Yes 
Slack Yes 
SquadCast Yes 
Zenduty Yes 

Pricing Details

$990.00
Free Trial No 
Free Version No 

Pricing Details

$99 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Starpoint Software

Website

www.pointstar.com/ChemStat/Default.aspx

Vendor Details

Company Name

StatHat

Founded

2011

Country

United States

Website

www.stathat.com

Product Features

Statistical Analysis

Analytics Yes 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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