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calpaterson
python-web-perf
Python2020–2020
calpaterson / python-web-perf

python-web-perf

Code for testing performance of popular python webservers

3Distinct people
3Mentions
0Explicit recommenders
111GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code for testing performance of popular python webservers

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, 6:01:08 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 week3 dated mentions

Observed mentions: 2020-06-12 10:59:44 UTC to 2020-08-15 22:19:44 UTC. Weeks start Monday, UTC.

0122020-06-08 00:00:00 UTC to 2020-06-15 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 82020-06-15 00:00:00 UTC to 2020-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-06-22 00:00:00 UTC to 2020-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-06-29 00:00:00 UTC to 2020-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-06 00:00:00 UTC to 2020-07-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 62020-07-13 00:00:00 UTC to 2020-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-20 00:00:00 UTC to 2020-07-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-27 00:00:00 UTC to 2020-08-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-03 00:00:00 UTC to 2020-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-10 00:00:00 UTC to 2020-08-17 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsAug 10

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
Jun 82020-06-08 00:00:00 UTC2020-06-15 00:00:00 UTC101
Jun 152020-06-15 00:00:00 UTC2020-06-22 00:00:00 UTC000
Jun 222020-06-22 00:00:00 UTC2020-06-29 00:00:00 UTC000
Jun 292020-06-29 00:00:00 UTC2020-07-06 00:00:00 UTC000
Jul 62020-07-06 00:00:00 UTC2020-07-13 00:00:00 UTC000
Jul 132020-07-13 00:00:00 UTC2020-07-20 00:00:00 UTC000
Jul 202020-07-20 00:00:00 UTC2020-07-27 00:00:00 UTC000
Jul 272020-07-27 00:00:00 UTC2020-08-03 00:00:00 UTC000
Aug 32020-08-03 00:00:00 UTC2020-08-10 00:00:00 UTC000
Aug 102020-08-10 00:00:00 UTC2020-08-17 00:00:00 UTC202

What Hacker News says

1 sources
His async code creates a pool with only 10 max connections[1] (the default). Whereas his sync pool[2], with a flask app that has 16 workers, has significantly more database connections. I expect upping this number would have a positive effect on asyncio numbers because the only thing[3] this[4] is[5] measuring[6] is how many database connections you have, and is about as far from a realistic workload as you can get. Change your app to make 3 parallel requests to httpbin, collect the responses and insert them into the database. That's an actually realistic asyncio workload rather than a single DB query on a very contested pool. I'd be very interested to see how sync frameworks fare with that. 1. https://github.com/calpaterson/python-web-perf/blob/master/a... 2. https://github.com/calpaterson/python-web-perf/blob/master/s... 3. https://gith
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In Async Python is not faster

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