upgini
Enrichment pendingData 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, including open & comme
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Trust & integrity
Full report- Maintenance
- Very active (4d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- 27 low (27 low)
- As of today · Source: osv@v1
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
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, including open & commercial LLMs
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
1. Install from PyPI
%pip install upgini
🐳 Docker-way
Clone $ git clone https://github.com/upgini/upgini or download upgini git repo locally
and follow steps below to build docker container 👇
1. Build docker image from cloned git repo:
cd upgini
docker build -t upgini .
...or directly from GitHub:
DOCKER_BUILDKIT=0 docker build -t upgini
git@github.com:upgini/upgini.git#main
2. Run docker image:
docker run -p 8888:8888 upgini
3. Open http://localhost:8888?token=<your_token_from_console_output> in your browser