Average Ratings 2 Ratings

Total
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Average Ratings 0 Ratings

Total
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design
support

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Description

The Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community.

Description

Gain insights into user interactions with your product and pinpoint areas of opportunity to guide your product strategy. Mode enables a single Stitch analyst to accomplish what typically requires an entire data team by offering rapid, adaptable, and collaborative tools. Create dashboards that track annual revenue and utilize chart visualizations to quickly spot anomalies. Develop well-crafted reports suitable for investors or facilitate collaboration by sharing your analyses with different teams. Integrate your complete technology ecosystem with Mode to uncover upstream problems and enhance overall performance. Accelerate cross-team workflows using APIs and webhooks. By analyzing user engagement, you can discover opportunity areas that help refine your product decisions. Additionally, utilize insights from marketing and product data to address vulnerabilities in your sales funnel, optimize landing-page efficiency, and anticipate churn before it occurs, ensuring proactive measures are in place.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Studio Lab Yes 
Azure Marketplace Yes 
Clore.ai Yes 
DataHub No 
Dropbox Yes 
Ethyca No 
GeoSpock Yes 
GitHub Yes 
Intel Tiber AI Cloud Yes 
Kubit Yes 
Lambda Yes 
Modelbit Yes 
Modern DataOS Yes 
Presto No 
SQL Server No 
Snowflake No 
Spyder Yes 
VESSL AI Yes 
Vanna.AI Yes 
Voxel51 Yes 

Integrations

Amazon SageMaker Studio Lab No 
Azure Marketplace No 
Clore.ai No 
DataHub Yes 
Dropbox No 
Ethyca Yes 
GeoSpock No 
GitHub No 
Intel Tiber AI Cloud No 
Kubit No 
Lambda No 
Modelbit No 
Modern DataOS No 
Presto Yes 
SQL Server Yes 
Snowflake Yes 
Spyder No 
VESSL AI No 
Vanna.AI No 
Voxel51 No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
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 Yes 
Live Rep (24/7) Yes 
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 No 

Vendor Details

Company Name

Project Jupyter

Founded

2014

Website

jupyter.org

Vendor Details

Company Name

Mode Analytics

Founded

2013

Country

United States

Website

mode.com

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance No 
Code Refactoring No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Deployment Management No 
Graphical User Interface No 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

Data Science

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

Product Features

Business Intelligence

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

Data Science

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

Embedded Analytics

Ad hoc Query No 
Application Development No 
Benchmarking No 
Dashboard No 
Interactive Reports No 
Mobile Reporting No 
Multi-User Collaboration No 
Self Service Analytics No 
Streaming Analytics No 
Visual Workflow Management No 

Alternatives

Alternatives

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