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What is DATAGYM?

DATAGYM enables data scientists and machine learning experts to label images at a rate that is tenfold faster than conventional techniques. Its AI-powered annotation tools significantly reduce manual labor, freeing up more time to optimize machine learning models and speeding up the introduction of new products to the market. By optimizing the data preparation process, you can greatly enhance the productivity of your computer vision projects, cutting the time needed by nearly fifty percent. This improvement not only expedites project schedules but also fosters a more flexible and innovative environment within the industry, allowing teams to adapt quickly to changes and new opportunities. With such advancements, the potential for breakthroughs in machine learning becomes even more attainable.

What is Hopsworks?

Hopsworks is an all-encompassing open-source platform that streamlines the development and management of scalable Machine Learning (ML) pipelines, and it includes the first-ever Feature Store specifically designed for ML. Users can seamlessly move from data analysis and model development in Python, using tools like Jupyter notebooks and conda, to executing fully functional, production-grade ML pipelines without having to understand the complexities of managing a Kubernetes cluster. The platform supports data ingestion from diverse sources, whether they are located in the cloud, on-premises, within IoT networks, or are part of your Industry 4.0 projects. You can choose to deploy Hopsworks on your own infrastructure or through your preferred cloud service provider, ensuring a uniform user experience whether in the cloud or in a highly secure air-gapped environment. Additionally, Hopsworks offers the ability to set up personalized alerts for various events that occur during the ingestion process, which helps to optimize your workflow. This functionality makes Hopsworks an excellent option for teams aiming to enhance their ML operations while retaining oversight of their data environments, ultimately contributing to more efficient and effective machine learning practices. Furthermore, the platform's user-friendly interface and extensive customization options allow teams to tailor their ML strategies to meet specific needs and objectives.

Media

Media

Integrations Supported

Amazon S3

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
IBM watsonx.data
Onehouse

API Availability

API Availability

Pricing Information

$19.00/month/user
Tiered Pricing Model with the Developer plan costing $0 a month.
Free Version

Pricing Information

$1 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

eForce21

Date Founded

2019

Company Location

Germany

Company Website

www.datagym.ai/

Company Facts

Organization Name

Logical Clocks

Date Founded

2016

Company Location

Sweden

Company Website

www.logicalclocks.com/hopsworks

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing

Data Management

Data Analysis
Data Capture
Data Integration

Data Visualization

Analytics
Content Management
Relational Display
Visual Discovery

Deep Learning

Convolutional Neural Networks
Image Segmentation
Model Training
Neural Network Modeling
Visualization

Go-To-Market

Not specified

Machine Learning

Deep Learning
Model Training
Predictive Modeling
Visualization

Categories and Features

Artificial Intelligence

For Healthcare
For eCommerce
Predictive Analytics
Process/Workflow Automation

Big Data

Collaboration
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Regression Analysis

Data Management

Customer Data
Data Analysis
Data Integration
Data Migration
Data Quality Control
Data Security
Master Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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