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A Python stream processing engine modeled after Yahoo! Pipes
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What is riko?

riko is a pure Python library for analyzing and processing streams of structured data. riko has synchronous and asynchronous APIs, supports parallel execution, and is well suited for processing RSS feeds. riko also supplies a command-line interface for executing flows, i.e., stream processors aka workflows.
riko is a tool in the Stream Processing category of a tech stack.
riko is an open source tool with 1.6K GitHub stars and 72 GitHub forks. Here’s a link to riko's open source repository on GitHub

riko Integrations

riko's Features

  • Read csv/xml/json/html files
  • Create text and data based flows via modular pipes
  • Parse, extract, and process RSS/Atom feeds
  • Create awesome mashups, APIs, and maps
  • Perform parallel processing via cpus/processors or threads

riko Alternatives & Comparisons

What are some alternatives to riko?
Kafka Streams
It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.
See all alternatives

riko's Followers
6 developers follow riko to keep up with related blogs and decisions.