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@humangraphics

HumanGraphics

Unstructured Humans to Structured Data

Welcome to HumanGraphics

Hi there! 👋 Welcome to the official GitHub organization for HumanGraphics. We're thrilled to have you here!

At HumanGraphics, we're dedicated to revolutionizing how people interact with demographic data through our cutting-edge API services. Our mission is to provide seamless, efficient, and scalable solutions that empower developers, businesses, and researchers to append demographic estimates to names, locations, photos, and social profiles with ease.

What We Do

At the core of HumanGraphics, we develop APIs that:

  • Append Demographic Estimates: Enhance your datasets with valuable demographic insights.
  • To Whatever Data you Have: From names and locations to photos and social profiles.
  • That Promote Data-Driven Decisions: Empower your applications with data that matters.

Our Technology

Our platform is built on a serverless architecture, leveraging the power and flexibility of AWS to ensure scalability, reliability, and performance. By going serverless, we've minimized operational overhead while maximizing the ability to innovate rapidly.

Why Serverless?

  • Scalability: Automatically scales with our demand, ensuring our APIs are always available when you need them.
  • Cost-Effectiveness: With a pay-as-you-go model, we keep our costs down and pass those savings on to you.
  • Rapid Deployment: We can quickly update and deploy new features, keeping our product on the cutting edge.

Tech Talks

Interested in learning more about HumanGraphics' technology? Check out these tech talks given by the team!

Exploring HumanGraphics' Serverless Architecture

Our team presented about HumanGraphics' journey to serverless architecture on Serverless Land. The talk was a deep dive into the business and technology challenges we faced, the solutions we implemented, and the lessons we learned along the way. Viewers might be particularly interested in the open-sourced Lambda layer that allows HumanGraphics to host AI and ML models in AWS Lambda with minimal cold start times!

🗓 Date: March 19, 2024
📍 Location: Java AI/ML on Lambda with Human Graphics | Serverless Office Hours

Get Involved

Interested in contributing or learning more about our projects? Here are a few ways to get started:

  • Star our repositories to stay up to date with the latest developments.
  • Submit issues for bugs you encounter or features you'd like to see.
  • Propose pull requests with improvements to our codebase.
  • Check out our roadmap and let us know what we should work on next.
  • Join the conversation: Share your insights, ask questions, and connect with the HumanGraphics community.

Stay Connected

  • Join our Newsletter for regular updates, special offers, and insights from the world of demographic data analytics.
  • Follow us on Twitter to get the latest news and participate in our tech community discussions.

We're here to build something great together. Let's make the most of demographic data and open new doors to innovation. Thank you for being part of our journey!

For any questions or collaborations, feel free to reach out to us directly at [email protected].

Happy coding! 🚀

The HumanGraphics Team

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  1. python-sample-enrich-names-csv python-sample-enrich-names-csv Public

    Use HumanGraphics API to enrich name-containing records in a CSV file with Python

    Jupyter Notebook

Repositories

Showing 4 of 4 repositories
  • humangraphics.github.io Public

    HumanGraphics API Docs

    humangraphics/humangraphics.github.io’s past year of commit activity
    HTML 0 0 0 0 Updated Oct 8, 2024
  • backend-lambda-layer Public

    AWS Lambda layer for running ML models with SnapStart

    humangraphics/backend-lambda-layer’s past year of commit activity
    Java 2 0 0 0 Updated Oct 2, 2024
  • .github Public
    humangraphics/.github’s past year of commit activity
    0 0 0 0 Updated Mar 20, 2024
  • python-sample-enrich-names-csv Public

    Use HumanGraphics API to enrich name-containing records in a CSV file with Python

    humangraphics/python-sample-enrich-names-csv’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Sep 11, 2023

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