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Data Engineering · Awesome GitHub Repositories

15 repos

Awesome GitHub RepositoriesData Engineering

Infrastructure and frameworks used to build, manage, and scale complex systems for processing and analyzing large datasets.

Explore 15 awesome GitHub repositories matching data & databases · Data Engineering. Refine with filters or upvote what's useful.

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Awesome Data Engineering GitHub Repositories

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  • sindresorhus/awesome

    sindresorhus/awesome

    438,690GitHubView on GitHub↗

    This project is a community-curated knowledge base that organizes vast technical ecosystems into a hierarchical, human-readable directory. It serves as a comprehensive index of libraries, frameworks, and methodologies, designed to facilitate discovery and professional development across the entire spectrum of software

    awesomeawesome-listlists
  • vinta/awesome-python

    vinta/awesome-python

    283,687GitHubView on GitHub↗

    This project is a comprehensive, community-curated directory that organizes a vast landscape of Python software libraries, frameworks, and tools. It serves as a centralized knowledge base designed to facilitate ecosystem navigation and accelerate developer discovery across the entire software development lifecycle. Th

    Pythonawesomecollectionspython
  • tensorflow/tensorflow

    tensorflow/tensorflow

    193,864GitHubView on GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

    C++deep-learningdeep-neural-networksdistributed
  • d3/d3

    d3/d3

    112,379GitHubView on GitHub↗

    D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a flexible framework that allows for direct control over visual presentation by mapping abstract data dimensions to graphical properties, such as position, color, and size, without imposing predefined chart a

    Shellchartchartsd3
  • pytorch/pytorch

    pytorch/pytorch

    97,601GitHubView on GitHub↗

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

    Pythonautograddeep-learninggpu
  • microsoft/markitdown

    microsoft/markitdown

    87,305GitHubView on GitHub↗

    This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine

    Pythonautogenautogen-extensionlangchain
  • macrozheng/mall

    macrozheng/mall

    82,926GitHubView on GitHub↗

    This project is an enterprise-grade Java framework designed for building scalable, full-stack e-commerce applications. It provides a comprehensive foundation for microservice-based distributed architectures, enabling the development of complex retail platforms that include product management, order processing, and secu

    Javadockerelasticsearchelk
  • elastic/elasticsearch

    elastic/elasticsearch

    76,163GitHubView on GitHub↗

    Elasticsearch is a distributed search engine and document store designed for the high-performance indexing and retrieval of massive volumes of unstructured data. It functions as a centralized analytics platform, providing a schema-flexible architecture that organizes information into searchable indices while maintainin

    Javaelasticsearchjavasearch-engine
  • awesomedata/awesome-public-datasets

    awesomedata/awesome-public-datasets

    72,846GitHubView on GitHub↗

    This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, t

    aaron-swartzawesome-public-datasetsdatasets
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents
  • minio/minio

    minio/minio

    60,346GitHubView on GitHub↗

    MinIO is a software-defined, cloud-native object storage server designed to manage large volumes of unstructured data. It functions as a distributed storage cluster that aggregates multiple independent nodes into a unified, scalable pool, providing a high-performance infrastructure compatible with standard cloud storag

    Goamazon-s3cloudcloudnative
  • pathwaycom/pathway

    pathwaycom/pathway

    59,684GitHubView on GitHub↗

    Pathway is a high-performance data processing framework designed for building unified batch and streaming pipelines. It functions as an orchestrator for complex data transformations, utilizing a differential dataflow engine to process updates incrementally. By treating static datasets and continuous event streams with

    Pythonbatch-processingdata-analyticsdata-pipelines
  • pathwaycom/llm-app

    pathwaycom/llm-app

    56,311GitHubView on GitHub↗

    This project is a data processing engine and AI application platform designed for building production-grade machine learning workflows. It provides a unified programming model that handles both historical batch data and live stream ingestion, enabling the development of real-time ETL pipelines and scalable data transfo

    Jupyter Notebookchatbothugging-facellm
  • ultralytics/ultralytics

    ultralytics/ultralytics

    53,426GitHubView on GitHub↗

    Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification

    Pythonclicomputer-visiondeep-learning
  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Cloud-Native Storage LayersSoftware-defined storage solutions optimized for containerized environments and distributed architectures.
  • Data Pipeline Orchestration2 sub-tagsSystems focused on the automated movement, transformation, and scheduling of data workflows, distinct from the underlying compute engines.
  • Data Visualization LibrariesModular libraries that provide components for rendering dynamic and interactive data visualizations.
  • Distributed Compute Frameworks3 sub-tags
High-performance engines designed for parallelized data processing across clusters, distinct from high-level workflow orchestration tools.
  • Log Analysis ToolsSoftware tools that facilitate the indexing, searching, analysis, and visualization of machine-generated application logs.
  • Public DatasetsCollections of open, real-world data sources used to support research, machine learning, and application prototyping.
  • Synthetic Data GenerationTechniques for creating artificial datasets using language models to supplement training or evaluation data.
  • Vector and AI Data Pipelines3 sub-tagsSpecialized workflows for preparing, ingesting, and managing data specifically for generative AI and vector search applications.