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Data Visualization · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesData Visualization

Libraries and tools that render data into visual formats to communicate information clearly and effectively.

Explore 4 awesome GitHub repositories matching data & databases · Data Visualization. Refine with filters or upvote what's useful.

  1. Home
  2. Data & Databases
  3. Data Analysis & Visualization
  4. Visualization Frameworks and Libraries
  5. Data Visualization

Awesome Data Visualization GitHub Repositories

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  • 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
  • grafana/grafana

    grafana/grafana

    72,295GitHubView on GitHub↗

    Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking an

    TypeScriptalertinganalyticsbusiness-intelligence
  • deepfakes/faceswap

    deepfakes/faceswap

    54,974GitHubView on GitHub↗

    Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users

    Pythondeep-face-swapdeep-learningdeep-neural-networks
  • 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

Explore sub-tags

  • Observability DashboardsInteractive interfaces for visualizing metrics, logs, and traces.
  • Result Access InterfacesProgrammatic access to structured output data from model inference.
  • Training PreviewsGeneration of visual samples during the training process.