# selfrefactor/rambda

Typescript focused FP library similar to Remeda and Ramda

Repository: https://github.com/selfrefactor/rambda
Canonical: https://ross.abutalabs.com/products/rambda
Homepage: https://selfrefactor.github.io/rambda/
Language: JavaScript
License: MIT
License Family: permissive
Topics: fp, ramda, lodash, utils, functional-programming, typescript, functions, functional, utility
Last push: 2026-08-13T13:58:08+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 45, longevity 100
- inputs: {"age_days": 3517, "days_push": 20, "days_rel": 284, "gap_med": 39, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1754, forks 90 (observed 2026-08-28T04:05:31.955346+00:00)

## What it is
Rambda is a TypeScript-focused functional programming utility library similar to Ramda, Remeda, and Radashi. It centers on curried functions designed for use within R.pipe chains with strong TypeScript type inference.

## Use cases
- functional programming utilities in TypeScript
- building data transformation pipelines with pipe
- replacing Ramda with better TypeScript type inference
- curried utility functions for arrays and objects
- lightweight lodash alternative for functional style
- filtering and mapping lists in a composable chain

## When to avoid
- you need dual-argument invocation like filter(fn, list) since only curried usage is supported
- you need the full breadth of Ramda's API including advanced lens and fantasy-land features
- your project is plain JavaScript without TypeScript and you don't care about type inference

## Facets
- artifact type: library
- maturity: active
- function: developer-tools
- domain: developer-tools, programming-languages
- platform: cross-platform
- tags: functional-programming, typescript, utility-library, ramda-alternative, curried-functions, pipe, nodejs

## Member repositories
- selfrefactor/rambda (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:31.955346+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 2026-08-30T03:28:08.728057+00:00, confidence not recorded.
  - readme: https://github.com/selfrefactor/rambda (fetched 2026-08-28T04:05:31.955346+00:00, sha 1858d7ec1b08)
  - homepage: https://selfrefactor.github.io/rambda/ (fetched 2026-08-29T11:06:29.025785+00:00, sha 6bdb4ba140a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.