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 1.5K GitHub stars and 66 GitHub forks. Here’s a link to riko's open source repository on GitHub
Who uses riko?
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Why developers like riko?
Here’s a list of reasons why companies and developers use riko
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- 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?
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.
Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.
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.
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