ZinkML

ZinkML

ZinkML Technologies
+
+

Related Products

  • Google Cloud BigQuery
    1,939 Ratings
    Visit Website
  • Teradata VantageCloud
    992 Ratings
    Visit Website
  • DbVisualizer
    541 Ratings
    Visit Website
  • Vertex AI
    827 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Windsurf Editor
    159 Ratings
    Visit Website
  • Harmoni
    16 Ratings
    Visit Website
  • SciSure
    296 Ratings
    Visit Website

About

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection

About

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and teams interested in a data science notebook solution to make data science teams more productive

Audience

Data scientists, Data analysts, Enterprises, and more

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deepnote
Founded: 2019
United States
deepnote.com

Company Information

ZinkML Technologies
Founded: 2023
India
zinkml.com

Alternatives

Alternatives

RapidMiner

RapidMiner

Altair
Looker

Looker

Google

Categories

Categories

Data Analysis Features

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

Data Science Features

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Data Visualization Features

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

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Machine Learning Features

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

Integrations

Google Cloud Platform
Amazon Athena
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Docker
Dropbox
GitHub
Google Drive
Microsoft Azure
Modelbit
MongoDB
PostgreSQL
Snowflake
TensorFlow
Visual Studio Code
Windsurf Editor
neptune.ai

Integrations

Google Cloud Platform
Amazon Athena
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Docker
Dropbox
GitHub
Google Drive
Microsoft Azure
Modelbit
MongoDB
PostgreSQL
Snowflake
TensorFlow
Visual Studio Code
Windsurf Editor
neptune.ai
Claim Deepnote and update features and information
Claim Deepnote and update features and information
Claim ZinkML and update features and information
Claim ZinkML and update features and information