A workflow for reproducible and open scientific articles

A lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.

A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.

pytask is a workflow management system that facilitates reproducible data analyses.

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io

Reproducible Data Analysis Workflow in Jupyter

Easy, reproducible Metashape photogrammetry workflows

Rstudio project template and convenience functions for the Workflow for Open Reproducible Code in Science (WORCS)

Build and verify byte-for-byte reproducible Rust packages using a Cargo-based workflow

A short and to-the-point summary of a reproducible data science workflow

CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design:

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a Graphical Interface for Reproducible Analysis oF workFlow Experiments

Quadra: Effortless and reproducible deep learning workflows with configuration files.

Collective Knowledge workflow for the MILEPOST GCC (machine learning based compiler). See how it is used in the collaborative project with the Raspberry Pi foundation to support collaborative research for multi-objective autotuning and machine learning techniques, and prototype reproducible papers with portable workflows:

Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engine.

teemi: A Python package for reproducible and FAIR microbial strain construction. Simulate the entire dbtl-cycle, generate genetic parts, design libraries, and track samples. Open-source Python platform for workflow flexibility and automated tasks, accelerating metabolic engineering. Try teemi with our Google Colab notebooks!

🚂 sbsh brings Terminal-as-Code to your workflow, making terminal environments reproducible, persistent, and safe to share across your team.

Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.

End-to-end Vehicle Insurance Domain project implementing MLOps. Includes data ingestion, validation, transformation, model training, and deployment with CI/CD pipelines, Docker, and modular project structure. Features Flask app integration, reproducible workflows, and scalable ML lifecycle management.

Easy Setup of a Reproducible Workflow

This Coding Agent is a multi-LLM engineering crew that plans tasks, writes code, and self-reviews to build polished outputs like the ArXiv CS Daily site—featuring automated paper ingestion, intelligent tagging, UI generation, and full audit logs in one reproducible workflow.

A Practical Introduction to Reproducible Computational Workflows (ISMB/ECCB 2019 Tutorial AM4)

An image analysis workflow for open and reproducible research on femoral knee cartilage

MatClaw: an open materials-science agent that turns natural-language tasks into reproducible simulation workflows.

Local browser toolkit for AI agents: deep research and browser use automation with local Chrome (CDP) + Playwright. Flexible, extensible scripts for web navigation, extraction and workflow automatization - built for reproducible research and agent-driven browsing.