seq-pipeline VS SmartPipeline

Compare seq-pipeline vs SmartPipeline and see what are their differences.

seq-pipeline

Workspace for data science projects and NGS pipelines. Contains RStudio, Jupyter Notebook, VSCode and file manager. Can connect to Tailscale network to bypass firewalls. (by kstawiski)
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seq-pipeline SmartPipeline
1 1
10 23
- -
4.6 7.5
9 months ago 2 months ago
PHP Python
- GNU Lesser General Public License v3.0 only
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.

seq-pipeline

Posts with mentions or reviews of seq-pipeline. We have used some of these posts to build our list of alternatives and similar projects.
  • Data science workspace I have always dreamed about...
    1 project | /r/datascience | 1 Nov 2022
    I have created a workspace for my data science projects and NGS pipelines. Contains RStudio, Jupyter Notebook, VSCode, and a file manager. It can use docker in docker and singularity and connect to the Tailscale network to bypass firewalls, thus allowing it to work from anywhere. I feel happy to share it if someone wants to use it - https://github.com/kstawiski/seq-pipeline

SmartPipeline

Posts with mentions or reviews of SmartPipeline. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing seq-pipeline and SmartPipeline you can also consider the following projects:

coolify - An open-source & self-hostable Heroku / Netlify / Vercel alternative.

patterns-devkit - Data pipelines from re-usable components

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

AutoMLPipeline.jl - A package that makes it trivial to create and evaluate machine learning pipeline architectures.

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

versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.