Upgini

Automated data & feature enrichment for machine learning

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Upgini?

Upgini is a free automated library that enriches your training dataset with accuracy-improving features from public and community-shared sources, enhancing the performance of machine learning models.

Key differentiator

Upgini stands out by automating the search and integration of accuracy-improving features from a wide range of public and community-shared datasets, making it easier for developers to enhance their machine learning models.

Capability profile

Strength Radar

Automated featur…Improves model a…Open-source with…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Automated feature enrichment from public and community data sources

Improves model accuracy by integrating relevant features

Open-source with BSD-3-Clause license

Fit analysis

Who is it for?

✓ Best for

Projects where manual feature engineering is time-consuming or impractical

Developers looking to quickly improve model accuracy without extensive data preparation

Research teams needing to explore a wide range of features for their models

✕ Not a fit for

Real-time applications requiring immediate feature updates

Scenarios with strict privacy requirements where public data sources cannot be used

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with Upgini

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →