A DSL for data-driven computational pipelines
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Updated
Jun 30, 2024 - Groovy
A DSL for data-driven computational pipelines
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
Cross-platform, customizable ML solutions for live and streaming media.
Write your pipelines in C# !
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
The ORAC-DR astronomy data reduction pipeline
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
OWASP Secure Pipeline Verification Standard
A set of processes/pipelines for bioinformatics
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Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
Add a set of useful filters for pipen templates.
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.
Extensible full DAG streaming computation server with services and jobs for RNA-Seq, Tn-Seq, WG-Seq and Term-Seq.
A .NET Standard library that can be used to create two-directional pipeline blocks.
An open-source computer vision framework to build and deploy apps in minutes
Framework of fast implementation data processing and operating pipelines
A pipeline framework for python
Relational data pipelines for the science lab
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