# nerevu/riko

A Python stream processing engine modeled after Yahoo! Pipes

Repository: https://github.com/nerevu/riko
Canonical: https://ross.abutalabs.com/products/riko
Language: Python
License: MIT
License Family: permissive
Topics: stream-processing, etl, parallelism, rss, data, asynchronous, library, cli, functional-programming, featured
Last push: 2026-08-26T18:35:55+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 66, longevity 100
- inputs: {"age_days": 3744, "days_push": 7, "days_rel": 18, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1606, forks 75 (observed 2026-08-28T04:05:10.448830+00:00)

## What it is
riko is a pure Python stream processing library modeled after Yahoo! Pipes, combining reusable, configuration-driven modular pipes with synchronous, asynchronous, and parallel execution APIs. It also ships a command-line interface for executing flows (stream pipelines), and is well suited for processing RSS feeds, web content, text, and structured files.

## Use cases
- process rss feeds and web pages into structured records
- build composable etl pipelines in pure python without external services
- fetch a webpage and count word frequencies
- run data-processing streams synchronously, async, or in parallel
- execute stream pipelines from the command line
- transform and filter text or structured files as dictionary records

## When to choose
- you want a small-footprint, pure-python stream processing engine with no scheduler, cluster, or message queue
- you need configuration-driven, reusable pipes for rss/web/text data
- you want flexible sync, async, and parallel execution of pipelines

## When to avoid
- you need distributed big-data scale processing like spark or flink
- you need a gui-based pipe builder like the original yahoo! pipes
- your workload requires heavy external service integrations out of the box

## Facets
- artifact type: library
- maturity: active
- function: etl, streaming, parser, cli, data-science
- domain: developer-tools, crawlers
- platform: python, cli, cross-platform
- tags: stream-processing, yahoo-pipes, rss, pipelines, functional-programming, parallelism, async, data-engineering, automation

## Member repositories
- nerevu/riko (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:10.448830+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 2026-08-30T03:52:14.850392+00:00, confidence not recorded.
  - readme: https://github.com/nerevu/riko (fetched 2026-08-28T04:05:10.448830+00:00, sha a509c2c4363a)
- Data as of 2026-08-30T08:39:29.467469+00:00.