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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DewesoftX stands out as an award-winning software solution for data acquisition tailored for testing, measurement, and monitoring. Users can enjoy unparalleled experiences in data recording, signal processing, and data visualization. Recognized globally, DewesoftX DAQ software combines innovation and user-friendliness while offering extensive functionalities. Our clear mission is to provide a singular software solution that caters to all test and measurement needs. The order tracking analysis module has undergone a significant enhancement aimed at optimizing performance, now enabling Dewesoft to tackle advanced rotating machinery applications with even fewer constraints than previously possible. This update brings forth an array of robust new features, including the capability for order extraction against any reference quantity beyond just speed, along with the option to define speed ratios directly within the software. Additionally, the FFT analysis module, a fundamental dynamic analysis tool for Dewesoft, has received substantial advancements, positioning it as the most potent version to date, effectively elevating the overall analytical capabilities of the software.

Description

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

DataLab No 
Dewesoft Historian Yes 
EtherCAT® Tool Yes 
Google Cloud Platform No 
Google Workspace No 
Jupyter Notebook No 
Microsoft Excel Yes 

Integrations

DataLab Yes 
Dewesoft Historian No 
EtherCAT® Tool No 
Google Cloud Platform Yes 
Google Workspace Yes 
Jupyter Notebook Yes 
Microsoft Excel No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
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 Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

DEWESoft

Country

United States

Website

dewesoft.com/products/daq-software/dewesoft-x

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/datalab

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Visualization

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

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Visualization

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

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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