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clj-commons
manifold
Clojure2015–2025
clj-commons / manifold

manifold

A compatibility layer for event-driven abstractions

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9Distinct people
9Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A compatibility layer for event-driven abstractions

GitHub

Where it is used

No documented product use was verified in the last source check.

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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:36:16 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 year9 dated mentions

Observed mentions: 2015-01-09 15:37:33 UTC to 2025-08-18 06:12:52 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC303
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

3 sources
Royalaid·Oct 31, 2018
This is getting better but unfortunately your best bet is still to read some examples of good open source projects. If you or anyone interested in some good starting places for good Clojure see: - https://github.com/gothinkster/clojurescript-reframe-realworld-example-app for a great webapp example - All of https://github.com/ztellman work but specifically: - https://github.com/ztellman/manifold for more advanced Clojure - https://github.com/reagent-project/reagent for interop with JS and advanced Clojurescript usage
In Clojure at Netflix (2013) [slides]
dm3·Oct 8, 2018
For the data processing tasks my go-to tool is Manifold[1]. Depending on how the application is structured, you can keep state in atoms, the system map when using Component[2] or vars with Mount[3]. Manifold streams asynchronously join the state transformations together while allowing control over backpressure and threading. On the data analysis side things aren't rosy on the JVM. I'd delegate that part to something which actually has all the tools built-in, e.g. Julia/Python+Numpy/R. Apache Arrow[4] is a nice project to facilitate the dataframe interop. [1] https://github.com/ztellman/manifold [2] https://github.com/stuartsierra/component [3] https://github.com/tolitius/mount [4] https://arrow.apache.org/
In A Year in Clojure
pgt·Sep 12, 2018
Low signal-to-noise posts about Clojure are damaging to adoption because it doesn't say anything about why Clojure is a good option on the JVM. Instead, I will try to give some reasons why Clojure is a good fit for high-performance stream fusion, which I presume AppsFlyer has to do a lot of: - [Onyx](https://github.com/onyx-platform/onyx) for distributed, masterless, fault-tolerant data processing - [core.async](https://github.com/clojure/core.async) for CSP-style events through a channel abstraction. I miss core.async so much in every other language, I generally end up implementing a subset of the semantics. - [Transducers](https://clojure.org/reference/transducers) for composable transformations, e.g. (filter odd?) ;; returns a transducer that filters odd (map inc) ;; returns a mapping transducer for incrementing (take 5
Read the rest
) ;; returns a transducer that will take the first 5 values of a sequence (def xf (comp (filter odd?) (map inc) (take 5))) (into [] xf (range 100)) ;; => [2 4 6 8 10] Note that no intermediate data structures are created during these transformations, so it's super fast. - [Specter](https://github.com/nathanmarz/specter) decomplects navigation and transformation, pulling apart the "where" from the "how". In most imperative languages whenever the shape or performance characteristics your data structures change, you also have to update all the code that transforms it. Not with Specter. - Zach Tellman's [Manifold](https://github.com/ztellman/manifold) provides event-streaming abstractions on top of async workflows like lazy sequences, core.async and Java's BlockingQueues.
In Why Clojure?

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