nerevu/riko

Health v2 · maintenance only

Adoption not part of the score

1606 stars · 75 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity active

etl streaming parser cli data-science developer-tools crawlers python cli cross-platform stream-processing yahoo-pipes rss pipelines functional-programming parallelism async data-engineering automation

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