Sample project to demonstrate data engineering best practices
data-engineeringdelta-lakeetlgreat-expectationsminiopysparkspark
Source: GitHub repository metadata.
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5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
Sample project to demonstrate data engineering best practices
data-engineeringdelta-lakeetlgreat-expectationsminiopysparkspark
Source: GitHub repository metadata.
Code for "Efficient Data Processing in Spark" Course
apache-sparkdata-engineeringdata-pipelineminiopysparkpyspark-notebook
Source: GitHub repository metadata.
Practice Databricks coding skills with hands-on exercises. Import into Databricks Free Edition, write code, run assertions, check pass/fail. Covers Delta Lake, Spark SQL, PySpark, Auto Loader, medallion architecture, window functions, and more.
auto-loadercoding-practicedata-engineeringdatabricksdatabricks-certificationdelta-lakemedallion-architecturepyspark
Source: GitHub repository metadata.
Java dataframe and visualization library
chartdata-analysisdata-framedata-sciencedata-visualizationdataframehigh-performancejava
Source: GitHub repository metadata.
Metl is a simple, web-based integration platform that allows for several different styles of data integration including messaging, file based Extract/Transform/Load (ETL), and remote procedure invocation via Web Services. Read more at www.jumpmind.com/products/metl/overview
data-integrationdatabaseetl
Source: GitHub repository metadata.
数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
covid19-datadatadata-analysisdata-sciencedatasetseconomic-datagopupindex-data
Source: GitHub repository metadata.
General Assembly's 2015 Data Science course in Washington, DC
clusteringcoursedata-analysisdata-cleaningdata-sciencedata-visualizationdecision-treesensemble-learning
Source: GitHub repository metadata.
Jupyter notebook and datasets from the pandas video series
data-analysisdata-cleaningdata-sciencejupyter-notebookpandaspythontutorial
Source: GitHub repository metadata.
Jayvee is a domain-specific language and runtime for automated processing of data pipelines
data-engineeringdata-pipelinedata-sciencedomain-specific-languageetl-pipelinetypescript
Source: GitHub repository metadata.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skillsclaudecodeclinical-research
Source: GitHub repository metadata.
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company
agentagent-skillsagentsai-agentai-agentsanalyticsanalytics-engineeringbusiness-intelligence
Source: GitHub repository metadata.
An open source alternative to Tableau. Embeddable visual analytic
bidatadata-analysisdata-miningdata-visualizationedak6skanaries
Source: GitHub repository metadata.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
data-analysisdata-explorationdataframematplotlibpandasplotlytableautableau-alternative
Source: GitHub repository metadata.
Next generation of automated data exploratory analysis and visualization platform.
augmented-analyticsautomated-data-analysisautomated-visualizationautoviscausal-discoverycausal-inferencecausalitydata-analysis
Source: GitHub repository metadata.
The Open-Source Enterprise Data Platform in a single Portal
data-engineering
Source: GitHub repository metadata.
:bar_chart: :clipboard: Dashboards using YAML or JSON files
big-databusiness-intelligencechartcsvd3d3jsdashboarddata
Source: GitHub repository metadata.
:sunglasses: A curated list of awesome DataOps tools
awesomeawesome-listdata-engineerdata-engineeringdataops
Source: GitHub repository metadata.
Compilation of high-profile real-world examples of failed machine learning projects
aiartificial-intelligenceclassificationcomputer-visiondata-engineeringdata-qualitydata-sciencedeep-learning
Source: GitHub repository metadata.
Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
ai-agentsautomationcontrol-planedata-engineeringdata-orchestrationdata-orchestratordevopsetl
Source: GitHub repository metadata.
A lightweight CLI tool for versioning data alongside source code and building data pipelines.
data-engineeringdata-pipelinesdata-sciencedatasetdvcsmachine-learningmlops
Source: GitHub repository metadata.
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