# instacart/lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

Repository: https://github.com/instacart/lore
Canonical: https://ross.abutalabs.com/products/instacart-lore
Language: Python
License: MIT
License Family: permissive
Topics: machine-learning, python
Last push: 2023-05-13T02:26:19+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3240, "days_push": 1209, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1543, forks 129 (observed 2026-08-28T04:05:01.230150+00:00)

## What it is
Lore is a Python machine learning framework from Instacart designed to make ML approachable for software engineers and maintainable for ML researchers, integrating with tools like TensorFlow and Airflow. It was deprecated at Instacart in April 2022 and is no longer supported.

## Use cases
- build and train machine learning models with a structured framework
- manage ML experiments and hyperparameter searches
- orchestrate data science pipelines with airflow integration
- standardize ML project structure for engineering teams
- deploy trained models into production pipelines

## When to choose
- you are maintaining an existing legacy Lore-based project
- you need a historical reference for ML framework design

## When to avoid
- starting any new machine learning project
- you need active community support or updates
- you want modern MLOps tooling

## Facets
- artifact type: framework
- maturity: abandoned
- function: machine-learning, data-science, workflow-automation, etl
- domain: machine-learning, data-science, developer-tools
- platform: python
- tags: ml-pipeline, deprecated, tensorflow, airflow, ml-ops, linux, macos

## Member repositories
- instacart/lore (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.230150+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:41.589627+00:00, confidence not recorded.
  - readme: https://github.com/instacart/lore (fetched 2026-08-28T04:05:01.230150+00:00, sha 1bdf4690f895)
  - registry_pypi: https://pypi.org/pypi/lore/json (fetched 2026-08-29T11:32:05.758834+00:00, sha a0e8c63e1833)
- Data as of 2026-08-30T08:39:29.467469+00:00.