entangle VS singularity-hpc

Compare entangle vs singularity-hpc and see what are their differences.

entangle

A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs. (by radiantone)
Parallel gpu-computing Artificial intelligence DevOps HPC Python3 Containers Scripting parallel-workflows supercomputing decorator-composition GPU parallel-processes workflow-composition workflow-managers Dataflow dataflow-engine
Source Code
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singularity-hpc

Local filesystem registry for containers (intended for HPC) using Lmod or Environment Modules. Works for users and admins. (by singularityhub)
singularity HPC lmod Containers Reproducibility
Source Code
singularity-hpc.readthedocs.io
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entangle singularity-hpc
8 1
105 104
- 2.9%
0.0 6.0
over 1 year ago about 2 months ago
Python Python
MIT License Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

entangle

Posts with mentions or reviews of entangle. We have used some of these posts to build our list of alternatives and similar projects.

singularity-hpc

Posts with mentions or reviews of singularity-hpc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-16.
  • Tell us about your projects as an RSE!
    4 projects | /r/ResearchSoftwareEng | 16 May 2022
    Nice! If you need a testing set, singularity hpc (shpc) installs containers as modules, and has a yaml file that describes all the interactions for each container so your tester could know what to test! https://github.com/singularityhub/singularity-hpc. The only testing we do when adding a new module is indeed just loading it, and it could be much improved.

What are some alternatives?

When comparing entangle and singularity-hpc you can also consider the following projects:

ufw-stats - ufw-stats: Show ufw actions since boot, with ip address information from RIPE database.

shpc-registry - A remote registry for Singularity Registry HPC 🖊️

udocker - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.

compspec - Core compsec example implementation (in Python) - other languages can be used.

PyCUDA - CUDA integration for Python, plus shiny features

citelang - markdown syntax and credit system for software!

hpc-container-maker - HPC Container Maker

pakages - Testing out spack GitHub packages again now that there is one hash with reuse

Deep-learning-in-cloud - List of Deep Learning Cloud Providers

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

entangle vs ufw-stats singularity-hpc vs shpc-registry entangle vs udocker singularity-hpc vs compspec entangle vs PyCUDA singularity-hpc vs citelang entangle vs hpc-container-maker singularity-hpc vs pakages entangle vs Deep-learning-in-cloud singularity-hpc vs hpc-container-maker entangle vs ImageAI singularity-hpc vs udocker