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2 Repos

Awesome GitHub RepositoriesCustom Dataset Generators

Tools that generate tailored data files from a larger source based on specific constraints.

Distinct from Dataset Exporters: Distinct from Dataset Exporters by emphasizing the customization and filtering of the output.

Explore 2 awesome GitHub repositories matching data & databases · Custom Dataset Generators. Refine with filters or upvote what's useful.

Awesome Custom Dataset Generators GitHub Repositories

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  • dr5hn/countries-states-cities-databaseAvatar von dr5hn

    dr5hn/countries-states-cities-database

    9,291Auf GitHub ansehen↗

    This project is a comprehensive geographic location dataset and reference library providing standardized data for countries, states, and cities. It serves as a source of truth for regional hierarchies, ISO codes, coordinates, and timezone information, available as both a relational SQL database and a document-based JSON library. The project includes a custom dataset export tool that functions as a filtering engine. This allows for the generation of tailored geographic files in JSON, CSV, and GeoJSON formats by selecting only the specific regions or fields required. The dataset covers global

    Ships a filtering engine to generate tailored geographic files in JSON, CSV, and GeoJSON formats.

    Pythoncitiescountriescountry
    Auf GitHub ansehen↗9,291
  • chartbrew/chartbrewAvatar von chartbrew

    chartbrew/chartbrew

    3,641Auf GitHub ansehen↗

    Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates

    Streamlines setup by generating a reusable dataset and its associated data requests in a single operation.

    JavaScriptanalyticsapichartjs
    Auf GitHub ansehen↗3,641
  1. Home
  2. Data & Databases
  3. In-Memory Data Stores
  4. Columnar Formats
  5. Custom Dataset Generators

Unter-Tags erkunden

  • Visualization Dataset GeneratorsTools that create reusable datasets and associated requests from a single configuration call. **Distinct from Custom Dataset Generators:** Distinct from synthetic data generation; this generates real-data request configurations for BI.