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ggaughan
pipe2py
HTML2012–2016
ggaughan / pipe2py

pipe2py

A project to compile Yahoo! Pipes into Python (see it hosted on Google App Engine: http://pipes-engine.appspot.com)

5Distinct people
5Mentions
0Explicit recommenders
318GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A project to compile Yahoo! Pipes into Python (see it hosted on Google App Engine: http://pipes-engine.appspot.com)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2012-08-28 21:30:00 UTC to 2016-07-21 11:02:07 UTC.

01232012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC312
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101

What Hacker News says

5 sources
`riko` is pure python stream processing library for analyzing and processing streams of structured data. It's modeled after Yahoo! Pipes [1] and was originally a fork of pipe2py [2]. It has both synchronous and asynchronous (via twisted) APIs, and supports parallel execution (via multiprocessing). Out of the box, `riko` can read csv/xml/json/html files; create text and data based flows via modular pipes; parse and extract RSS/ATOM feeds; and bunch of other neat things. You can think of `riko` as a poor man's Spark/Storm... stream processing made easy! Feedback welcome so let me know what you think! Resources: FAQ [3], cookbook [4], and ipython notebook [5] Quickie Demo: >>> from riko.modules import fetch >>> >>> stream = fetch.pipe(conf={'url': 'https://news.ycombinator.com/rss'}) >>> item = next(stream) >>> item['tit
Read the rest
In Show HN: Riko – A Python stream processing engine modeled after Yahoo! Pipes
Mizza·Oct 3, 2015Submission

Ask HN: Yahoo Pipes Replacement?

Hey gang! As some of you may have noticed, Yahoo! Pipes recently went dark (RIP). A speed-reading service I developed and use daily, Glance.wtf, was built on top of Yahoo! Pipes, and now I'm looking for a Pipes-compatible replacement. Fortunately, I was able to extract the Pipe-bodies before Pipes died, and those are available here: https://github.com/GlanceApps/PipeIDs/tree/master/pipes There are two interesting solutions I can see: pipe2py (https://github.com/ggaughan/pipe2py) + Google App Engine and pipes2js (https://github.com/neyric/pipes2js) + AWS SWF/Lambda. But really, I'd just like to get my service back up again with as little time and money being required as possible. I'm hoping that somebody else out there has already come up with a hosted Pipes replacement that I can simply piggy-back on. Does anybody know of anything like th
Read the rest
at, or have any suggestions about how to best solve this platform migration problem? Thanks!, R
13 points · Open discussion
I would first look at zapier (as mentioned first by robgolding) and IFFT ( http://ifttt.com/ ), they can help integrate just about every service under the sun... if you want to host your own yahoo pipes clone here are a few: http://github.com/cantino/huginn http://github.com/ggaughan/pipe2py http://github.com/neyric/pipes2js https://github.com/olviko/RssPercolator http://github.com/superfeedr/superpipes Here also is a MEGA-LIST (and i wouldn't be using caps nor the word mega if I didn't mean it) of yahoo pipe replacements.... not my site, not my lists but clearly this guy did his homework (over 200+ options). http://meta-guide.com/integration/alternatives-to-yahoo-pipe... GL
In Ask HN: What Yahoo Pipes replacements are there?
Yahoo pipes was obviously influenced by UNIX pipes and as such is one of the best demonstrations of flow based programming to date. I really loved Yahoo pipes and it influenced the way I think. Pipes was a basic web "agent". It made basic programming available to the everyman much like HyperCard. Perhaps is just needed a runtime UI that matched the excellence of its design time interface. Yahoo is focussing on mobile yet here they had this custom agent building tool that could easily be re-purposed to mobile to make a killer platform for Yahoo users. Hopefully they will opensource the first generation perl version. Some of my favourite flow based programming links follow. Surprised nobody has mentioned noflow node.js workflows: https://github.com/noflo/noflo Also this (untested) will convert your yahoo pipes into Node.js https://g
Read the rest
ithub.com/neyric/pipes2js and this one (also untested) will do the same in python: https://github.com/ggaughan/pipe2py There is also python pypes which has a yahoo pipes like frontend with a stackless based backend. http://pyvideo.org/video/400/pycon-2011--large-scale-data-conditioning--amp--p https://github.com/fullscale/pypes Other python flow based programming tools https://wiki.python.org/moin/FlowBasedProgramming http://www.kamaelia.org/Home.html (BBC research) http://www.ruffus.org.uk/index.html Wireit is a javascript pipes like frontend http://neyric.github.io/wireit/docs/ As you can see I loved pipes and I can
In Yahoo Pipes End-Of-life Announcement
Does everybody trust into these hosted services? (I do not.) How about to run your own one? - http://pipes.deri.org - still alive or dead? - https://github.com/ggaughan/pipe2py - looks alive - http://neyric.github.com/webhookit/docs/index.html - Alpha and dead? - swiftly.org - started as a open source project, but nothing released and dead? Did I forgot something/somebody? Just to be complete, GUI as a JS lib: - http://jsplumb.org/jquery/demo.html - http://neyric.github.com/wireit And additionally two commercial hosted projects: - http://www.wewiredweb.com (based on http://www.mashablelogic.com) - http://tarpipe.com/
In The Forgotten Yahoo Project That Inspired Two Recently Funded Startups

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