HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
aio-libs
janus
Python2019–2025
aio-libs / janus

janus

Thread-safe asyncio-aware queue for Python

3Distinct people
3Mentions
0Explicit recommenders
971GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Thread-safe asyncio-aware queue for 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 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:04:58 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 year3 dated mentions

Observed mentions: 2019-02-10 10:12:55 UTC to 2025-12-20 20:25:38 UTC.

0122019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 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 comments20222023-01-01 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): 2 mentions; 1 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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
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 UTC211

What Hacker News says

1 sources
On a related note, I found that asyncio (cooperative multitasking in Python) has made huge strides in usability in Python 3.7. The code feels sequential, and it’s quite easy to understand the flow of events ; it’s very explicit yet you never have to run the callbacks yourself, the exceptions do show up, and you don’t even need to manipulate a `loop` object anymore! If you're trying to learn how to use it, my advice would be: * "Stick to the official documentation[1]!". Many resources found online are outdated, and give convoluted or plain wrong examples, and fail to mention the recent additions. * Use `asyncio.run`. The alternative way (using get_event_loop() and loop.run_until_complete() is cumbersome and hard to get right. Even the documentation wasn't correct[2].). The part on Coroutines and Tasks is well-written, and the best part is
Read the rest
the examples. Simply reading all the examples on after another gives a a good insight on how asyncio should be used. * If you want to work with sockets, use the high-level "Streams"[3] if you want to stay in the standard library. `asyncio.start_server` is a powerful abstraction. If you’re willing to use a third-party library, I found that `pynng`[4] was a breeze to work with. It is compatible with asyncio and other async frameworks, and it found it more straightforward than pyzmq, which is also compatible with asyncio[5]. * If you want to run async functions in the main event loop and blocking functions in threads (with `loop.run_in_executor), Janus[7] seems to be a great way to share data. I have not used it yet though. My use case was that I wanted to read sensor data on one computer (server) and broadcast it to other computers (clients) which would in turn graph it live, or write it to disk. The server used `pyserial_asyncio`[6] to asynchronously read serial data and published it via TCP using a the pub/sub scheme from pynng (pynng.Pub0). The clients could then either synchronously or asynchronously receive the data by subscribing to the server (pynng.Sub0), and make plots in realtime. [1]: https://docs.python.org/3/library/asyncio.html [2]: https://github.com/python/asyncio/pull/465#issue-93620963 [3]: https://docs.python.org/3/library/asyncio-stream.html#asynci... [4]: https://pypi.org/project/pynng/ [5]: https://pyzmq.readthedocs.io/en/latest/api/zmq.asyncio.html [6]: https://github.com/pyserial/pyserial-asyncio [7]: https://github.com/aio-libs/janus
In Asynchronous programming and cooperative multitasking

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.