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Description

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Description

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
GitHub Yes 
MySQL Yes 
PostgreSQL Yes 
Snowflake Yes 
AccessOwl Yes 
Amazon Athena Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) No 
Google Cloud Platform Yes 
Google Drive Yes 
Modelbit Yes 
MongoDB Yes 
Python No 
R No 
SQL No 
TensorFlow Yes 
Visual Studio Code Yes 

Integrations

Docker Yes 
GitHub Yes 
MySQL Yes 
PostgreSQL Yes 
Snowflake Yes 
AccessOwl No 
Amazon Athena No 
Amazon Redshift No 
Amazon S3 No 
Amazon Web Services (AWS) Yes 
Google Cloud Platform No 
Google Drive No 
Modelbit No 
MongoDB No 
Python Yes 
R Yes 
SQL Yes 
TensorFlow No 
Visual Studio Code No 

Pricing Details

Free
Starter: Free
Pro: $12/month
Enterprise: $99/month
Free Trial No 
Free Version Yes 

Pricing Details

$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Deepnote

Founded

2019

Country

United States

Website

deepnote.com

Vendor Details

Company Name

Zerve AI

Founded

2023

Country

Ireland

Website

www.zerve.ai/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Big Data

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

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning Yes 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Data Analysis

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

Data Science

Access Control No 
Advanced Modeling Yes 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Data Visualization

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

Machine Learning

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

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 Science

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

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

Alternatives

Alternatives