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Awesome-pipeline Alternatives
Similar projects and alternatives to awesome-pipeline
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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Kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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astro-sdk
Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
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drake
An R-focused pipeline toolkit for reproducibility and high-performance computing (by ropensci)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
awesome-pipeline discussion
awesome-pipeline reviews and mentions
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Train Your Own LLM: A Deep Dive with Ruby
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin - GitHub
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Orchestration: Thoughts on Dagster, Airflow and Prefect?
There are a truly huge number of options in this space, see for example https://github.com/pditommaso/awesome-pipeline Many of them are very niche / half-baked / abandonware.
- Launch HN: DAGWorks – ML platform for data science teams
- Any good resources for R for bioinformatics
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Alternatives to nextflow?
Hi everyone. So I've been using nextflow for about a month or so, having developed a few pipelines and I've found the debugging experience absolutely abysmal. Although nextflow has great observability with tower, and great community support with nf-core, the uninformative error messages is souring the experience for me. There are soooo many pipeline frameworks out there, but I'm wondering if anyone has come across one similar to nextflow in offering observability, a strong community behind it, multiple executors (container image based preferably) and an awesome debugging experience? I would favor a python based approach, but not sure snakemake is the one I'm looking for.
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A General Workflow Engine
My answer is more from design/product point of view. If you mean code execution workflow management, then there are a bunch of packages listed in this awesome list.
- [Discussion] Applied machine learning implementation debate. Is OOP approach towards data preprocessing in python an overkill?
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Experiences with workflow managers implemented in Haskell (funflow, porcupine, bioshake, ?)
There are a billion of them out there (https://github.com/pditommaso/awesome-pipeline), so the decision which one to choose is not exactly easy. Most of my colleagues rely on Nextflow and Snakemake, so I should consider these, but before I start to learn an entirely new language I wanted to explore the Haskell ecosystem for possible solutions. Strong typing should in theory be a perfect match for a pipeline manager. And having this in Haskell would simplify replacing some of my R code with Haskell eventually.
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what do you think about airflow?
I found this list of other "awesome pipelines" https://github.com/pditommaso/awesome-pipeline
- Workflow Orchestration
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A note from our sponsor - InfluxDB
influxdata.com | 25 Apr 2025