Statistics for topic pipeline
RepositoryStats tracks 566,957 Github repositories, of these 429 are tagged with the pipeline topic. The most common primary language for repositories using this topic is Python (139). Other languages include: Go (44), Nextflow (36), Jupyter Notebook (23), Java (23), TypeScript (19), Rust (14), R (14), C++ (13), Shell (12)
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Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
Turns Data and AI algorithms into production-ready web applications in no time.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Turns Data and AI algorithms into production-ready web applications in no time.
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Turns Data and AI algorithms into production-ready web applications in no time.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
Documentation for Kestra — an event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
Turns Data and AI algorithms into production-ready web applications in no time.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
【Go DAG Schedule Framework】A simple way to build a pipeline with Go.
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Go concurrency with channel transformations: a toolkit for streaming, batching, pipelines, and error handling
Simplify and improve the job hunting experience by integrating LLMs to automate tasks such as resume and cover letter generation, as well as application submission, saving users time and effort.
Set up and run your CI locally or in any CI Provider in a consistent way https://backdropbuild.com/builds/v4/fluentci
Turns Data and AI algorithms into production-ready web applications in no time.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Orchestration and automation platform to execute millions of scheduled and event-driven workflows declaratively in code and from the UI
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Install Jenkins, configure Docker as slave, set up cicd, deploy applications to k8s using Argo CD in GitOps way.
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Turns Data and AI algorithms into production-ready web applications in no time.
