Run Airflow in AWS ECS(Elastic Container Service) using Fargate tasks
airflowairflow-ecsawsdagdockerecrecsetl
Source: GitHub repository metadata.
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505 matching repositories.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
a delightful machine learning tool that allows you to train, test, and use models without writing code
artificial-intelligenceautomationautomlautoml-experimentsdata-analysisdata-sciencehacktoberfesthacktoberfest2021
Source: GitHub repository metadata.
A Spark plugin for reading and writing Excel files
data-frameetlexcelscalaspark
Source: GitHub repository metadata.
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
data-engineeringdelta-lakepydanticpysparkpython
Source: GitHub repository metadata.
High-performance ETL pipeline library for .NET. Process CSV, JSON, Excel, and SQL data with minimal memory usage through streaming operations.
csharpcsvdatadata-pipelinedata-processingdataflowdotnetetl
Source: GitHub repository metadata.
fklearn: Functional Machine Learning
data-analysisdata-sciencemachine-learningmlpython
Source: GitHub repository metadata.
cuDF - GPU DataFrame Library
arrowcppcudacudfdaskdata-analysisdata-sciencedataframe
Source: GitHub repository metadata.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
computer-visiondata-analysisdata-sciencedata-visualizationdatasciencedeep-learningkerasmachine-learning
Source: GitHub repository metadata.
More than 2000+ Data engineer interview questions.
airflowavroawsazurecassandradata-engineeringdata-structuresflink
Source: GitHub repository metadata.
Learn AI together, for free. AI learning and teaching resources for everyone.
aidata-engineeringdata-sciencedeep-learningjupyterjupyter-notebookmachine-learningml
Source: GitHub repository metadata.
Egeria core
data-engineeringdata-governanceegeriagovernancehacktoberfestjavalinux-foundationmetadata-management
Source: GitHub repository metadata.
Data Engineering Pilipinas is a community for data engineers, data analysts, data scientists, developers, AI / ML engineers, and users of closed and open source data tools and methods / techniques in the Philippines. Data Engineering Pilipinas is a PyData group.
communitydatadatabasedataengineeringdatasciencedatasetsengineeringetl
Source: GitHub repository metadata.
A package supporting the conversion from Synthea CSV to OMOP CDM
etl
Source: GitHub repository metadata.
A collection of tools for extracting FHIR resources and analytics services on top of that data.
analyticsapache-beamdata-pipelinedigital-healthetlfhir-storeglobal-healthhl7-fhir
Source: GitHub repository metadata.
Accumulated knowledge and experience in the field of Data Engineering
datadata-engineeringengineering
Source: GitHub repository metadata.
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
aiaiopsannotationcomputer-visiondeeplearningetlhyperparameter-tuninginference
Source: GitHub repository metadata.
The open document intelligence platform for builders and hackers - DMS for the agentic world
agentagentic-aiaiai-agentsetletl-pipelinellmprompt-engineering
Source: GitHub repository metadata.
đź“™ Awesome Data Catalogs and Observability Platforms.
awesomeawesome-listbig-datadata-catalogdata-discoverydata-engineeringdata-qualitydatacatalog
Source: GitHub repository metadata.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
alertingbigdatadata-catalogdata-discoverydata-engineeringdata-explorationdata-governancedata-lineage
Source: GitHub repository metadata.
OpenRefine is a free, open source power tool for working with messy data and improving it
data-analysisdata-sciencedata-wranglingdatacleaningdatacleansingdatajournalismdataminingjava
Source: GitHub repository metadata.
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