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docker-library / docs

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Documentation for Docker Official Images in docker-library

4Distinct people
4Mentions
0Explicit recommenders
5.3KGitHub stars
REPOSITORY AT A GLANCE

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What it is

Documentation for Docker Official Images in docker-library

GitHub

Where it is used

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What people are saying

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM 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: 2016-02-06 18:09:50 UTC to 2023-10-08 21:00:09 UTC.

012016-01-01 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): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

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 UTC101
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 UTC101
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 UTC101

What Hacker News says

4 sources
Wireguard + GUI: https://github.com/wg-easy/wg-easy Managing all those household docs: https://docs.paperless-ngx.com Backups of mail accounts: https://www.offlineimap.org Cloud storage for phones: http://nextcloud.com Mirroring podcasts locally: https://github.com/akhilrex/podgrab Managing dynamic service dns via plugins: https://coredns.io My own matrix instance: https://matrix-org.github.io/dendrite/ Backups: https://restic.net Media Management: https://jellyfin.org Relay only tor help: https://www.torproject.org S3 compatible storage: https://github.com/seaweedfs/seaweedfs Git + CI: https://about.gitlab.com Managing SSL and container proxying: https://traefik.io Mirror the docker registry locally: https://github.com/docker-library/docs/tree/master/registry Samba support for the windows hosts: https://github.com/ServerContainers/samba
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HTTP/S Proxy with support for modifying results: http://www.privoxy.org Database: https://www.postgresql.org Datastore: https://redis.io and a bunch of support software. Paperless has Tika and Gotenberg as deps for example.
In The Tailscale Universal Docker Mod
There are Alpine [1] and Debian [2] miniconda images (within which you can `conda install python==3.8` and 2.7 and 3.4 in different conda envs) [1] https://github.com/ContinuumIO/docker-images/blob/master/min... [2] https://github.com/ContinuumIO/docker-images/blob/master/min... If you build manylinux wheels with auditwheel [3], they should install without needing compilation for {CentOS, Debian, Ubuntu, and Alpine}; though standard Alpine images have MUSL instead of glibc by default, this [4] may work: echo "manylinux1_compatible = True" > $PYTHON_PATH/_manylinux.py [3] https://github.com/pypa/auditwheel [4] https://github.com/docker-library/docs/issues/904#issuecomme... The miniforge docker images aren't yet [5][6] multi-arch, which means it's not as easy to take advantage of all of the ARM64 / aarch64 packages that conda-forge bui
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lds now. [5] https://github.com/conda-forge/docker-images/issues/102#issu... [6] https://github.com/conda-forge/miniforge/issues/20 There are i686 and x86-64 docker containers for building manylinux wheels that work with many distros: https://github.com/pypa/manylinux/tree/master/docker A multi-stage Dockerfile build can produce a wheel in the first stage and install that wheel (with `COPY --from=0`) in a later stage; leaving build dependencies out of the production environment for security and performance: https://docs.docker.com/develop/develop-images/multistage-bu...
In A deep dive into the official Docker image for Python
We tried those flags in the beginning since it was introduced in docker openjdk image[1]. When we dug in further, we find its just not trouble free (i.e. experimental). The default is to use 1/4th of RAM which is entirely inefficient [2]. The "MaxRAMFraction" parameter allows to specify 1/n fraction and not possible to efficiently use 65% or 75% of memory. The only place to start is to set MaxRAMFraction=2 and that already means only 50% of memory is used for heap. That produces a lot of wastage. A lot of resource efficiency is gained by starting with 65% or 80%. OpenJDK 10 is introducing a new option "MaxRAMPercentage" [3] and that goes closer to making a script unnecessary. TL;DR - The default flags are still experimental in JDK 8/9, and deemed to be better on Java 10. A script is just better for consistency. 1: https://github.com/docke
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In Running Java in a Container
Primary curator of the program here (https://github.com/docker-library/official-images/blob/319cb...). "Moving" is a bit of a strong word. It would be much more accurate to say "providing alternatives". For example, the "golang" image now has an "alpine" variant for each supported version (https://hub.docker.com/_/golang/), but the default variant is still Debian-based (especially given that switching the base outright would break far too many existing Dockerfiles). Additionally, the documentation calls out that there might be libc compatibility issues in the spirit of trying to ensure our users are properly informed about the potential problems they might run into in their quest for the smallest possible base: https://github.com/docker-library/docs/blob/b7b6b86124682ef1... I would definitely welcome PRs to make this verbiage more accu
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rate or more informative of pros and cons.
In Docker Official Images Are Moving to Alpine Linux

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