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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Simplify your data management with Stagraph, a user-friendly visual platform that merges the capabilities of data-science languages with the ease of Excel. This all-in-one tool eliminates the hassle of transferring data between multiple applications, allowing for seamless data import, wrangling, and visualization in a single environment. Generate actionable insights with just a few clicks, all without the need for coding. Stagraph also offers flexibility, enabling you to export your results for use outside the platform, whether offline or online, in interactive dashboards, reports, or other BI applications and R-based tools. Its interface supports direct connections to essential file formats like Excel, CSV, and DBF, while also allowing for data retrieval from databases through ODBC connections. Furthermore, users can create custom datasets using the built-in spreadsheet, and access virtually any data source with the help of external R packages, making Stagraph a versatile choice for data analysis. With Stagraph, the possibilities for data exploration and utilization are vast, ensuring you have the right tools at your fingertips.

Description

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Pricing Details

$199 per user per year
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

Stagraph

Country

Slovakia

Website

stagraph.com

Vendor Details

Company Name

ZinkML Technologies

Founded

2023

Country

India

Website

zinkml.com

Product Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Product Features

Data Analysis

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

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

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

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