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pyeventsourcing
eventsourcing
Python2016–2021
pyeventsourcing / eventsourcing

eventsourcing

A library for event sourcing in Python.

4Distinct people
4Mentions
0Explicit recommenders
1.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A library for event sourcing in Python.

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 year4 dated mentions

Observed mentions: 2016-12-08 12:27:24 UTC to 2021-09-30 07:58:19 UTC.

0122016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

4 sources
Similar thing happened on a project I joined. Except this person not only forced ES onto the business but their own specific library for it https://github.com/johnbywater/eventsourcing The business eventually failed to due to this, due to slow implementation of simple features and many other issues with it. I will never use ES due to this project, it's pointless, anything you can do with it, you can do without it.
In The Reactive Monolith – How to Move from CRUD to Event Sourcing
Neither. If Richard's statements were facts they would violate his NDAs. In fact, these statements are falsehoods, and seem designed only to cause damage. Also, he's referring to 2016! The only "problem" is that in 2016 I was physically assaulted at work, Richard had to leave work soon after, and has been denigrating my work since then. For example, here's a post from 2016, where it appears he had a multi-account conversation with himself: https://news.ycombinator.com/item?id=13129798 Three years later, he's still unable to get over it and move on. This feels like a kind of twisted sexual investment, so I have chosen not to reply. The Python eventsourcing library is excellent, and event sourcing is a great idea. The library is open source, so if Richard had discovered a bug that caused "corrupt data", he could have raised an issue on GitH
Read the rest
ub. But there hasn't been such a bug, and no such issue has been raised. Everybody can look through the mere 56 closed issues in the entire history of this successful project to see how many "corrupted data" bugs there have been (zero). https://github.com/johnbywater/eventsourcing/issues The library is being used successfully in production. Some users have data stores with millions of stored domain events, and the library still works very fast. I didn't hear about anybody having billions of events yet, but I wouldn't expect much difference in performance, so long as the infrastructure has sufficient volume. In case the wrong impression is created by listening to Richard's rubbish, SQL and event sourcing aren't somehow incompatible. Event sourcing isn't somehow the opposite of "regular databases". The library works very well with SQL databases, through both Django ORM and SQLAlchemy. It also works with NoSQL databases. If you see posts like this in future, please ignore them, it's just fake news. My understanding is that Richard has diagnosed mental problems. But perhaps there's a kind of nominative determinism from the shortened version of his name? I don't know. At any rate, I've been keeping a log of these occasions, in case I need to call the police again.
In Event Sourcing (2017)

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