cwl_runner
Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊
ck
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks
Asimov
Asimov: A framework for coordinating parameter estimation workflows - Published in JOSS (2023)
Express
Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community
compss
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
https://github.com/common-workflow-language/cwlviewer
A web application to view and share Common Workflow Language workflows
configs
Config files used to define parameters specific to compute environments at different Institutions
https://github.com/aiidateam/aiida-core
The official repository for the AiiDA code
https://github.com/aiidateam/aiida-hyperqueue
AiiDA plugin for the HyperQueue metascheduler.
hera
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!
agentica
Agentica: Effortlessly Build Intelligent, Reflective, and Collaborative Multimodal AI Agents! 构建智能的多模态AI Agent。
rworkflows
Continuous integration for R packages. 🔀 Automates testing ✅, documentation website building 📦, & containerised deployment 🐳.
https://github.com/cicirello/generate-sitemap
Generate an XML sitemap for a GitHub Pages site using GitHub Actions
https://github.com/larribas/dagger
Define sophisticated data pipelines with Python and run them on different distributed systems (such as Argo Workflows).
https://github.com/alpha-unito/jupyter-workflow
Distributed workflows design and execution with Jupyter Notebooks.
https://github.com/radiantone/blazer
An HPC abstraction over MPI with built-in parallel compute primitives
https://github.com/project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
https://github.com/mineralscloud/quantumespressoexpress.jl
A plugin of Express.jl for handling the ab initio software Quantum ESPRESSO
australianbiocommons.github.io
Australian BioCommons ToolFinder and WorkflowFinder: contains tool and workflow install status
cap
HPC workflow that automates the tedious actions of compiling, analyzing, and parsing with bincfg
rrlab
The RRLab R package is a growing collection of experimental techniques and quality-of-life tools born from years of hands-on data science, modeling, and exploration. Built as a personal lab bench in R, it reflects a constant search for better ways to understand high-dimensional data, test bold ideas, and streamline the grind of daily analysis.
snakemake-publishing
Lessons on taking a basic Snakemake workflow and sharing it with the community
eyeris
🧠 Advanced reproducible pupillometry preprocessing in R | Interactive reports, BIDS-compliant, High-throughput database tooling out-of-the-box | Actively developed by cognitive neuroscientists at Stanford University
wisio
Analyze, visualize, and understand I/O performance issues in HPC workflows
https://github.com/baimamboukar/actionsense
A set of useful github actions workflows
semantic
android + Kotlin + Semantic releases + SpotBugs + Jacoco + maven + Gradle + groovy + GitHub actions + SonarQube + commitlint
lc-reproducibility-assessment
https://github.com/australianbiocommons/nextflow_dsl2_template
Template for creating Nextflow DSL2 pipelines
https://github.com/accenture/mercury-composable
Reference implementation toolkit for writing composable applications
jube_cli
The JUBE benchmarking environment provides a script based framework to easily create benchmark sets, run those sets on different computer systems and evaluate the results. It is actively developed by the Jülich Supercomputing Centre of Forschungszentrum Jülich, Germany.