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FEATURE ENGINEERING
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#13 in Feature Engineering
Upgini Review — Feature Selection for ML Models
Upgini helps data scientists find and add valuable features to boost ML model performance.
6.5
/ 10
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7.5
Volvenix Verdict
AI-powered editorial review
A practical tool for automated feature selection that enhances ML models with external data.
PROS
- Automates discovery of impactful external features
- Integrates smoothly with existing data workflows
- Saves time in feature engineering process
- Improves model accuracy with enriched data
- User-friendly interface for data scientists
CONS
- Limited to feature selection, not full ML pipeline
- Effectiveness depends on availability of external datasets
Is Upgini Right for You?
A quick checklist to help you decide.
You want to enhance ML models by adding external impactful features efficiently
You need a full ML platform covering training and deployment end-to-end
You need to automate feature discovery to save time in model development
Free-tier limits are a blocker for your feature selection needs
Your team requires integration with existing data engineering workflows
You require extensive customization beyond automated feature selection
Ideal for: Data scientists and ML engineers seeking to augment datasets with impactful external features to improve model accuracy.
Less suited for: Teams without access to relevant external data or those needing full ML pipeline solutions rather than feature selection.
Bottom line: Effectiveness and availability of external data sources for feature enrichment.
Editorial Review
Upgini excels at automating the discovery of relevant features from external data sources, saving time for data scientists. Its integration capabilities and focus on feature engineering make it valuable for improving model accuracy. However, its reliance on external datasets may limit usefulness if suitable data is unavailable. Best suited for teams focused on feature enrichment rather than end-to-end ML pipelines.
AI-assessed from 3 sources.
Pros & Cons
Pros
Automates external feature discovery
Improves ML model accuracy
Saves feature engineering time
Integrates with data workflows
User-friendly for data scientists
Cons
Limited to feature selection only
moderate
Depends on availability of external datasets
major
Workaround:
Use internal data or other enrichment sources
Who Is It For & What Can It Do
Best For
Developer / Engineer
Data Scientist / Analyst
Product Manager
Intermediate curve
AI Capabilities
Feature Selection
Key Features
Automated Feature Discovery
Finds impactful features from external datasets
Feature Integration
Seamlessly adds selected features to your datasets
Data Source Connectivity
Connects to multiple external data providers
Advanced analytics
Provides insights on feature impact
Collaboration Tools
Supports team workflows and sharing
Best Use Cases
Enhancing ML models with external features
Automating feature engineering workflows
Improving model accuracy in predictive analytics
Data enrichment for data science projects
Feature selection for classification and regression
Available Platforms
Web App
Inputs & Outputs
Spreadsheetinput
Spreadsheetoutput
Supported Languages
English
Security & Compliance
Certifications
SOC 2 Type II
AICPA
ISO 27001
ISO
GDPR
European Union
Compliance Standards
GDPR
Privacy · EU
Pricing Plans
Free
Best for individuals
Free
- Basic feature selection
- Limited external data access
Offers a free tier with basic features and paid plans for advanced usage and larger datasets.
Price Range
Free
$0–$0
Pricing History
Plan Removed
Jun 15, 2026
Team
Plan Removed
Jun 15, 2026
Pro
New Plan
May 16, 2026
Team
$30.00/mo
New Plan
May 16, 2026
Pro
$20.00/mo
Support Channels
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Tutorials & Resources
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Frequently Asked Questions
What is this tool?
Upgini is a feature selection platform that helps data scientists find impactful external features to improve machine learning models.
How much does it cost?
Upgini offers a free tier with basic features and paid plans for advanced usage; exact pricing details are available on their website.
Does it have a free plan?
Yes, Upgini provides a free plan suitable for individuals and basic feature selection needs.
What integrations does it support?
Upgini connects to multiple external data providers to source additional features for your datasets.
Who is it best for?
It is best suited for data scientists and ML engineers looking to enrich datasets with external features to boost model performance.
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Last verified: Jun 15, 2026
Info sourced from public data & vendor website.
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