awesome-repositories.com
Blog
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectAboutHow we rankPressMCP server
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
GoogleTrends avatar

GoogleTrends/data

0
View on GitHub↗
4,846 stars·463 forks·JavaScript·3 views

Data

This project is an open-source search data index and a collection of historical search trend data provided as a public trends archive. It serves as an open dataset for analyzing global patterns and events through downloadable files.

The repository provides an aggregated index of anonymized and normalized search and media datasets. These resources are designed for academic and professional analysis, allowing for the study of longitudinal trends across different regions and timeframes.

The data supports global search trend analysis, market pattern analysis, and public interest research. It enables open data acquisition for the study of consumer interest, societal shifts, and search behavior.

Features

  • Global Search Trend Analysis - Serves as a comprehensive resource for identifying global patterns and specific events through historical search data.
  • Consumer Interest Analysis - Allows for identifying shifts in consumer interest and search behavior to track global topic popularity.
  • Trend Analysis Archives - Maintains a repository of historical search behavior data to track longitudinal trends across regions and timeframes.
  • Global Trend Analysis Tools - Provides datasets for studying global trends and events using aggregated and normalized search and media data.
  • Historical Data Downloads - Enables the download of historical search trend data as CSV bundles for longitudinal analysis.
  • Search and Indexing - Functions as an aggregated index of search and media datasets to enable fast discovery for academic analysis.
  • Search Trend Datasets - Provides a collection of historical search trend data in CSV format for analyzing global events.
  • Anonymized Data Aggregations - Implements an aggregated data model that combines individual search signals into anonymized groupings to ensure privacy.
  • Data Normalization and Schema Enforcement - Standardizes data formats across different time periods and regions to enable consistent cross-event analysis.
  • Flat-File Storage - Persists search trend information in simple flat-file text formats to simplify versioning and HTTP access.
  • Open Dataset Acquisition - Provides a curated open-source index for the acquisition of search datasets for academic and professional research.
  • Static Content Indexing - Organizes datasets as a searchable directory of static files for fast retrieval without a backend database.
  • Consolidated CSV Distributions - Provides regularly updated CSV files that merge search metrics into a single downloadable distribution for analysis.
  • Societal Shift Research - Enables the analysis of anonymized search and media trends to understand societal shifts across regions.

Star history

Star history chart for googletrends/dataStar history chart for googletrends/data

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to Data

Similar open-source projects, ranked by how many features they share with Data.
  • generalmills/pytrendsGeneralMills avatar

    GeneralMills/pytrends

    3,723View on GitHub↗

    pytrends is a Python library that serves as a programmatic wrapper for Google Trends. It provides an interface to retrieve search volumes, discover related keywords, and track historical and real-time market interest. The library enables the automation of keyword research and market analysis. It allows for the retrieval of suggested keywords, related queries, and broad related topics, as well as the monitoring of real-time trending searches and historical top charts. The tool supports regional interest analysis by filtering data by city, country, or metro area. It also provides historical in

    Python
    View on GitHub↗3,723
  • awesome-selfhosted/awesome-selfhostedawesome-selfhosted avatar

    awesome-selfhosted/awesome-selfhosted

    299,516View on GitHub↗

    This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis

    awesomeawesome-listcloud
    View on GitHub↗299,516
  • getgrav/gravgetgrav avatar

    getgrav/grav

    15,395View on GitHub↗

    Grav is a flat-file content management system that eliminates the need for a traditional database by storing site content and configuration in human-readable Markdown and YAML files. Built as a modular PHP web framework, it uses a hierarchical page routing system where the physical directory structure directly determines the site's URL paths. The platform is distinguished by its event-driven plugin architecture and a command-line interface that prioritizes system administration, deployment, and maintenance tasks. It utilizes a blueprint-driven system to generate administrative forms from stru

    PHPcmscontentcontent-management
    View on GitHub↗15,395
  • openaddresses/openaddressesopenaddresses avatar

    openaddresses/openaddresses

    3,113View on GitHub↗

    OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license address, parcel, and building datasets from governments and organizations worldwide. It functions as a global index and data warehouse for locating and distributing free geospatial records. The project operates a normalization pipeline that cleans and standardizes diverse source formats into a consistent global coordinate and attribute schema. This process includes a crowdsourced curation pipeline and programmatic quality validation to verify the spatial accuracy and formattin

    JavaScriptaddressesgeocodinghacktoberfest
    View on GitHub↗3,113
See all 30 alternatives to Data→

Frequently asked questions

What does googletrends/data do?

This project is an open-source search data index and a collection of historical search trend data provided as a public trends archive. It serves as an open dataset for analyzing global patterns and events through downloadable files.

What are the main features of googletrends/data?

The main features of googletrends/data are: Global Search Trend Analysis, Consumer Interest Analysis, Trend Analysis Archives, Global Trend Analysis Tools, Historical Data Downloads, Search and Indexing, Search Trend Datasets, Anonymized Data Aggregations.

What are some open-source alternatives to googletrends/data?

Open-source alternatives to googletrends/data include: generalmills/pytrends — pytrends is a Python library that serves as a programmatic wrapper for Google Trends. It provides an interface to… awesome-selfhosted/awesome-selfhosted — This project is a community-curated directory of open-source software designed for deployment in private server… getgrav/grav — Grav is a flat-file content management system that eliminates the need for a traditional database by storing site… owid/covid-19-data — Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in… openaddresses/openaddresses — OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license… amundsen-io/amundsen — Amundsen is a data catalog and discovery platform that provides a centralized directory for indexing tables and…