yellowbrick VS dagster-sklearn

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

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)

dagster-sklearn

dagster scikit-learn pipeline example. (by pybokeh)
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yellowbrick dagster-sklearn
2 3
4,198 40
0.3% -
2.8 0.0
9 months 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.

yellowbrick

Posts with mentions or reviews of yellowbrick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

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.
  • Dagster Tutorials/Presentations
    1 project | /r/dataengineering | 4 Apr 2021
    Hey! I've recently started to use dagster and it's been great with its 0.11.x releases. I am still a newbie with it and maybe only use 20% of its features and abstractions. Here's my work-in-progress personal Github repo. Not sure if you'll learn much from it.
  • 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 yellowbrick and dagster-sklearn you can also consider the following projects:

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Dask - Parallel computing with task scheduling

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

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

seaborn-image - High-level API for attractive and descriptive image visualization in Python

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

fpdf2 - Simple PDF generation for Python

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

scikit-survival - Survival analysis built on top of scikit-learn

sports-betting - Collection of sports betting AI tools.