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Average Ratings 0 Ratings
Description
Experience the power of advanced computing right at your fingertips. With the capabilities of parallel computing and innovative algorithms, there's no reason to hesitate any longer. Created specifically for data scientists in the business realm, this all-inclusive time-series platform delivers the fastest computing available. Shapelets offers a suite of analytical tools, including causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. You can also run, expand, and incorporate your own algorithms into the Shapelets platform, maximizing the potential of Big Data analysis. Seamlessly integrating with various data collection and storage systems, Shapelets ensures compatibility with MS Office and other visualization tools, making it easy to share insights without requiring extensive technical knowledge. Our user interface collaborates with the server to provide interactive visualizations, allowing you to fully leverage your metadata and display it through a variety of modern graphical representations. Additionally, Shapelets equips professionals in the oil, gas, and energy sectors to conduct real-time analyses of their operational data, enhancing decision-making and operational efficiency. By utilizing Shapelets, you can transform complex data into actionable insights.
Description
Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data.
Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units.
Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.
API Access
Has API
API Access
Has API
Integrations
Microsoft Excel
MongoDB
Apache HBase
Apache Kafka
Apache Parquet
DBRX
Denodo
Google Cloud Storage
HPE Ezmeral Data Fabric
MATLAB
Integrations
Microsoft Excel
MongoDB
Apache HBase
Apache Kafka
Apache Parquet
DBRX
Denodo
Google Cloud Storage
HPE Ezmeral Data Fabric
MATLAB
Pricing Details
No price information available.
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
Shapelets
Country
Spain
Website
shapelets.io
Vendor Details
Company Name
Visplore GmbH
Founded
2020
Country
Austria
Website
visplore.com
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Product Features
Manufacturing Intelligence
Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis