pybaseball VS mara-pipelines

Compare pybaseball vs mara-pipelines and see what are their differences.

pybaseball

Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs) (by jldbc)

mara-pipelines

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow (by mara)
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pybaseball mara-pipelines
33 3
1,113 2,054
- 0.4%
5.0 6.0
23 days ago 4 months ago
Python Python
MIT License MIT 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.

pybaseball

Posts with mentions or reviews of pybaseball. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

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.

What are some alternatives?

When comparing pybaseball and mara-pipelines you can also consider the following projects:

MLB-StatsAPI - Python wrapper for MLB Stats API

abcd-hcp-pipeline - bids application for processing functional MRI data, robust to scanner, acquisition and age variability.

baseballr - A package written for R focused on baseball analysis. Currently in development.

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

boxball - Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.

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

sports.py - A simple Python package to gather live sports scores

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

strat-o-rama - Generating plausible Strat-O-Matic cards from MLB data

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

baseball-pi - Get the live box score, plays, and batter stats of your favorite MLB team right on your desktop.

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.