mara-pipelines VS abcd-hcp-pipeline

Compare mara-pipelines vs abcd-hcp-pipeline and see what are their differences.

mara-pipelines

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow (by mara)

abcd-hcp-pipeline

bids application for processing functional MRI data, robust to scanner, acquisition and age variability. (by DCAN-Labs)
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mara-pipelines abcd-hcp-pipeline
3 1
2,054 44
0.4% -
6.0 6.0
5 months ago 12 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
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.

mara-pipelines

Posts with mentions or reviews of mara-pipelines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.

abcd-hcp-pipeline

Posts with mentions or reviews of abcd-hcp-pipeline. We have used some of these posts to build our list of alternatives and similar projects.
  • Siemens output from ABCD T1 and T2 sequences.
    1 project | /r/neuroscience | 8 Feb 2021
    Who provided the sequence? They're usually the point of contact for this kind of question. Alternatively, you can bug one of the processing groups for ABCD (link, and they might point you in the right direction. A shot of getting one of the ABCD or ABIDE/HCP sequence designers to see this on reddit is unlikley, but good luck.

What are some alternatives?

When comparing mara-pipelines and abcd-hcp-pipeline you can also consider the following projects:

kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

papermill - 📚 Parameterize, execute, and analyze notebooks

pybaseball - Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

PyFunctional - Python library for creating data pipelines with chain functional programming

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

fmriprep - fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration

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.

dremio-oss - Dremio - the missing link in modern data

pdpipe - Easy pipelines for pandas DataFrames.

airbyte - 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.

skull-stripping-3D-brain-mri - Apply Skulll Stripping to any 3D Brain MRI images