GraphCanon updated 2w · GitHub synced 2w
Decision brief
Automate feature engineering by integrating vast external datasets into ML workflows.
Good fit when
- Need rapid access to diverse external data for model enrichment
- Focusing on automated feature extraction from varied public and premium sources
Avoid when
- Seeking full control over the source code of all components integrated into ML pipelines
- Working with proprietary data that cannot be sourced or merged via external services
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (4d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 27 low (27 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install upginiSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python library to easily find and add relevant features to ML pipelines from external data sources, including LLMs.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 3, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 3, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
1. Install from PyPI
%pip install upgini
In Colab, it is recommended to restart the runtime after install before importing upgini. Otherwise pyarrow may fail with a binary incompatibility error.
🐳 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
For agents
This page has a .md twin and JSON over the API.