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Open Source

Upgini

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, in

Our verdict

Not reviewed yet

We have not reviewed Upgini yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

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From the listing

About Upgini

Upgini is a Python library that searches and enriches machine learning datasets with relevant features from hundreds of public and premium external data sources, including open and commercial LLMs. It integrates into ML pipelines to automatically find and add features that improve model performance.

Best for

Data scientists and ML engineers who need to quickly augment datasets with external features to improve model performance

Use cases

  • Augmenting training datasets with external features for better model accuracy
  • Automating feature discovery from public and premium data sources
  • Enriching ML pipelines with real-time external data without manual ETL

Notes

350 stars on GitHub. Last updated 2026-03-28. Licensed BSD-3-Clause.

Pros

  • Access to a wide range of external data sources, including LLMs
  • Automates feature search and enrichment, saving manual effort
  • Open source with a community-driven development model

Cons

  • Modest community size (350 stars) may limit support and contributions
  • Reliance on external data sources can introduce latency or cost
  • Requires careful evaluation of data quality and relevance for each use case

Key facts

What we have checked

GitHub stars
358
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Upgini is growing

GitHub stars

350 to 358

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Sources

Where this comes from

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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