# Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

Repository: https://github.com/Kanaries/Rath
Canonical: https://ross.abutalabs.com/products/rath
Homepage: https://rath.kanaries.net
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: datamining, visualization, automated-visualization, data-exploration, eda, machine-learning, automated-data-analysis, data-visualization, data-analysis, tableau, autovis, causal-discovery, causal-inference, causality, k6s, kanaries, augmented-analytics, tableau-alternative
Last push: 2026-08-14T21:24:23+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 8, longevity 100
- inputs: {"age_days": 2562, "days_push": 19, "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 4679, forks 381 (observed 2026-08-28T04:08:56.834802+00:00)

## What it is
RATH is an open-source augmented analytics platform that automates exploratory data analysis by discovering patterns, insights, and causal relationships, presenting them through auto-generated multi-dimensional visualizations. It serves as an open-source alternative to tools like Tableau with an automated visualization recommendation engine.

## Use cases
- automatically explore a csv dataset and get recommended charts
- find insights and patterns in my data without manual chart building
- open-source tableau alternative for data visualization
- discover causal relationships between variables in my dataset
- automate exploratory data analysis workflow
- generate dashboards from raw data automatically

## When to choose
- you want automated EDA and auto-generated visualizations instead of manually building charts
- you need an open-source, self-hosted alternative to Tableau
- you want causal discovery and augmented analytics features built into your exploration workflow

## When to avoid
- you need pixel-perfect manual control over every chart like in Tableau or Power BI
- you need a lightweight charting library to embed in your own app rather than a full platform
- your organization cannot accept AGPL-3.0 licensing

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, machine-learning, analytics, nlp
- domain: data-visualization, data-science, analytics, artificial-intelligence
- platform: cross-platform, self-hosted
- tags: eda, automated-visualization, augmented-analytics, causal-discovery, tableau-alternative, autovis, exploratory-data-analysis, web-server

## Member repositories
- Kanaries/Rath (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.834802+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 2026-08-29T18:19:20.282020+00:00, confidence not recorded.
  - readme: https://github.com/Kanaries/Rath (fetched 2026-08-28T04:08:56.834802+00:00, sha 88302b0211f2)
  - homepage: https://rath.kanaries.net (fetched 2026-08-29T09:03:43.427268+00:00, sha 45eeb53f65c4)
- Data as of 2026-08-30T08:39:29.467469+00:00.