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Spack Alternatives
Similar projects and alternatives to spack
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Ansible
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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NixOS-docker
Discontinued DEPRECATED! Dockerfiles to package Nix in a minimal docker container (by NixOS)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better spack alternative or higher similarity.
spack reviews and mentions
Posts with mentions or reviews of spack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-06.
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Autodafe: "freeing your freeing your project from the clammy grip of autotools."
> Are we talking about the same autotools?
Yes. Instead of figuring out how to do something particular with every single software package, I can do a --with-foo or --without-bar or --prefix=/opt/baz-1.2.3, and be fairly confident that it will work the way I want.
Certainly with package managers or (FreeBSD) Ports a lot is taken care of behind the scenes, but the above would also help the package/port maintainers as well. Lately I've been using Spack for special-needs compiles, but maintainer ease also helps there, but there are still cases one a 'fully manual' compile is still done.
> Suffice it to say, I prefer to work with handwritten makefiles.
Having everyone 'roll their own' system would probably be worse, because any "mysteriously failure" then has to be debugged specially for each project.
Have you tried Spack?
* https://spack.io
* https://spack.readthedocs.io/en/latest/
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FreeBSD has a(nother) new C compiler: Intel oneAPI DPC++/C++
Well, good luck with that, cause it's broken.
Previous release miscompiled Python [1]
Current release miscompiles bison [2]
[1] https://github.com/spack/spack/issues/38724
[2] https://github.com/spack/spack/issues/37172#issuecomment-181...
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Essential Command Line Tools for Developers
gh is available via Homebrew, MacPorts, Conda, Spack, Webi, and as a…
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The Curious Case of MD5
> I can't count the number of times I've seen people say "md5 is fine for use case xyz" where in some counterintuitive way it wasn't fine.
I can count many more times that people told me that md5 was "broken" for file verification when, in fact, it never has been.
My main gripe with the article is that it portrays the entire legal profession as "backwards" and "deeply negligent" when they're not actually doing anything unsafe -- or even likely to be unsafe. And "tech" knows better. Much of tech, it would seem, has no idea about the use cases and why one might be safe or not. They just know something's "broken" -- so, clearly, we should update.
> Just use a safe one, even if you think you "don't need it".
Here's me switching 5,700 or so hashes from md5 to sha256 in 2019: https://github.com/spack/spack/pull/13185
Did I need it? No. Am I "compliant"? Yes.
Really, though, the main tangible benefit was that it saved me having to respond to questions and uninformed criticism from people unnecessarily worried about md5 checksums.
- Spack Package Manager v0.21.0
- Show HN: FlakeHub – Discover and publish Nix flakes
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Nixhub: Search Historical Versions of Nix Packages
[1] https://github.com/spack/spack/blob/develop/var/spack/repos/...
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Cython 3.0 Released
In Spack [1] we can express all these constraints for the dependency solver, and we also try to always re-cythonize sources. The latter is because bundled cythonized files are sometimes forward incompatible with Python, so it's better to just regenerate those with an up to date cython.
[1] https://github.com/spack/spack/
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Linux server for physics simulations
You want to look at the tools used for HPC systems, these are generally very well tried and tested and can be setup for single machine usage. Remote access - we use ssh, but web interfaces such as Open On Demand exist - https://openondemand.org/. For managing Jobs, Slurm is currently the most popular option - https://slurm.schedmd.com/documentation.html. For a module system (to load software and libraries per user), Spack is a great - https://spack.io/. You might also want to consider containerisation options, https://apptainer.org/ is a good option.
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Simplest way to get latest gcc for any platform ?
git clone https://github.com/spack/spack.git ./spack/bin/spack install gcc
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A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Stats
Basic spack repo stats
52
3,949
10.0
4 days ago
spack/spack is an open source project licensed under Apache-2.0 or MIT which is not an OSI approved license.
The primary programming language of spack is Python.
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