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mamba-org
mamba
C++2020–2026
mamba-org / mamba

mamba

The Fast Cross-Platform Package Manager

22Distinct people
24Mentions
0Explicit recommenders
8.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The Fast Cross-Platform Package Manager

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

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, 3:56:07 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 year24 dated mentions

Observed mentions: 2020-12-03 21:08:48 UTC to 2026-03-21 15:56:02 UTC.

02462020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 5 mentions; 3 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
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 UTC514
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC532
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC404
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC716
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

24 sources
> Please consider consolidating python dependency management instead of fragmenting it: https://github.com/mamba-org/mamba Mamba doesn't even interact with the official python packing ecosystem... It is purely a conda replacement and conda packaging is not Python packaging (it's a more fundamental fragmentation than choosing a particular tool). So weird choice to not fragment Python dependency management. If you depend on both conda and standard Python packaging (e.g. PyPI.org) you can use Pixi: https://github.com/prefix-dev/pixi?tab=readme-ov-file#pixi-p.... Pixi attempts to bridge the conda world and the Python package world, so it's possible to rely more deeply on standards based packaging but still use conda tooling when you need it.
In Generate pip requirements.txt file based on imports of any project
Very annoying namespace conflict since a package called "mamba" (faster reimplementation of the python conda package manager) already existed for awhile before this architecture was even dreamed up. https://github.com/mamba-org/mamba Beyond that, I'll care about an alternative to transformers when it shows superior performance with an open source 7b-34b model compared to transformer model competitors. So far this has not happened yet
In Mamba: The Easy Way
Great writeup. Minor comment about the portion of the post mentioning Conda being glacially slow: Mamba [1] is a much better drop-in replacement written in C++. Not only is it significantly faster, but error messages are much more sane and helpful. That being said, I do agree that Pkg.jl is much more sleek and modern than Conda/Mamba. [1]: https://github.com/mamba-org/mamba
In What's Great about Julia?

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