Dev tools · alternatives · 2026
24 alternatives to Riko – A Python stream processing engine modeled after Yahoo! Pipes
A Python stream processing engine modeled after Yahoo! Pipes - nerevu/riko
Riko is a Python stream processing engine inspired by Yahoo! Pipes, designed for developers who need to process and transform data streams. It provides tools for building data pipelines by chaining operations together… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Riko – A Python stream processing engine modeled after Yahoo! Pipes launched in 2016; newer entries below may have overtaken it.
- 1
Get and manipulate data with a visual programming interface.
2017 · pipes.digital · its alternatives →
- 2
Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…
Dec 2025 · sql-flow.com · its alternatives →
- 3
- 4TN
2013 · textblob.readthedocs.org · its alternatives →
- 5
Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go. - lovoo/goka
2017 · github.com · its alternatives →
- 6
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
2015 · spacy.io · its alternatives →
- 7
Grav 1.0▲364Modern open source flat-file CMS to build faster websites
2015 · getgrav.org · its alternatives →
- 8NL
Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…
2022 · its alternatives →
- 9
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
2022 · nlpdemystified.org · its alternatives →
- 10OA
A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model. Its main use is running reliable, long-running workflows that can automatically resume after failures. Looking for feedback on the approach and potential use cases!
2025 · obeli.sk · its alternatives →
- 11
Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io · its alternatives →
- 12
- 13
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Oct 2025 · github.com · its alternatives →
- 14
Hi HN - DBOS CEO here with the co-founders of DBOS, Peter (KraftyOne) and Qian (qianli_cs). The company started as a research project of Stanford and MIT, and Peter and Qian were advised by Mike Stonebreaker, the creator of Postgres, and Matei Zaharia, the creator of Spark. They believe so strongly in reliable, serverless compute that they started a company (with Mike) to bring it to the world! Today we want to share our brand new Python library providing ultra-lightweight durable execution. https://github.com/dbos-inc/dbos-transact-py Durable execution means your program…
2024 · github.com · its alternatives →
- 15
Streamlit — A faster way to build and share data apps. - streamlit/streamlit
2019 · github.com · its alternatives →
- 16
🦭 Distributed log streaming engine built from first principles - nubskr/walrus
Dec 2025 · github.com · its alternatives →
- 17
Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 18
- 19
Robyn is a Super Fast Async Python Web Framework with a Rust runtime. - sparckles/Robyn
2023 · github.com · its alternatives →
- 20
Distributed Stream and Batch Processing. Contribute to hazelcast/hazelcast-jet development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 21
node-based editor for exploring, analyzing and transforming data without code
2021 · datablocks.pro · its alternatives →
- 22
- 23
Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…
2023 · github.com · its alternatives →
- 24DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
Also compare
- Early-stage Yahoo Pipes spiritual successor alternatives
- DuckDB for Kafka Stream Processing alternatives
- Taipy 3.0 alternatives
- TextBlob, Natural language processing made simple in Python alternatives
- Goka – distributed stream processing library for Kafka written in Go alternatives
- SpaCy – Build tomorrow's language technology products with Python alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →