ploomber VS dagster-sklearn

Compare ploomber vs dagster-sklearn and see what are their differences.

ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️ (by ploomber)

dagster-sklearn

dagster scikit-learn pipeline example. (by pybokeh)
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ploomber dagster-sklearn
121 3
3,363 40
1.1% -
7.8 0.0
about 1 month ago about 1 year ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ploomber

Posts with mentions or reviews of ploomber. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

dagster-sklearn

Posts with mentions or reviews of dagster-sklearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-07.
  • Scheduling tools for ETL and ML flow
    3 projects | /r/dataengineering | 7 May 2021
    I would give dagster a look. It has a built-in native scheduler and is cross-platform. It is general purpose, so your team can grow with it and tackle broader set of use cases if needed. If you struggle to get started after reading their docs/tutorials, you can take a look at my personal repo. Ive gotten a few feedback that my example has been very useful in getting started. I know they revamped their docs recently, but havent looked at their tutorial again or looked to see if they provided an intermediate level full example yet, so I need to get back in there to see.
  • Is anyone trying to switch out of data science, and if so, what jobs are you applying for?
    2 projects | /r/datascience | 4 Apr 2021
    I have created a trivial, contrived scikit-learn example using dagster so that people have an idea of how it can be used.

What are some alternatives?

When comparing ploomber and dagster-sklearn you can also consider the following projects:

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.

papermill - 📚 Parameterize, execute, and analyze notebooks

dagster - An orchestration platform for the development, production, and observation of data assets.

dvc - 🦉 ML Experiments and Data Management with Git

argo - Workflow Engine for Kubernetes

MLflow - Open source platform for the machine learning lifecycle

nbdev - Create delightful software with Jupyter Notebooks

docker-airflow - Docker Apache Airflow

Dask - Parallel computing with task scheduling

fastapi-dramatiq-data-ingestion - Sample project showing reliable data ingestion application using FastAPI and dramatiq

orchest - Build data pipelines, the easy way 🛠️

clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management