Prettygraph

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prettygraph is an open-source Data & Analytics tool that generates knowledge graphs from text. It offers an experimental UI for dynamically highlighting text input during knowledge graph creation, providing an interactive experience.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is prettygraph?

prettygraph is a Python-based web application developed by @yoheinakajima, designed to demonstrate a new UI pattern for text-to-knowledge graph generation. While it's an experimental project and not intended as a robust framework, it provides a simple yet interactive way to visualize knowledge graphs. The application uses Flask for the backend, LiteLLM for generating predictions that transform text inputs into JSON formatted graph data, and Cytoscape.js for visualization. A key feature is its dynamic UI, where the graph regenerates and updates in real-time with each period insertion in the text input, offering color-coded nodes and edges for better visual distinction. It requires an OpenAI API key for operation.

Best used for

Ideal for data scientists who need to quickly generate knowledge graphs from text, visualize complex relationships, and experiment with interactive UI patterns. Especially valuable for those looking to understand how text inputs can dynamically translate into visual graph structures with real-time updates.

Common actions

generate knowledge graphs

visualize text data

prototype UI

github copilotface swapping"AI Agents"deepfakeworkflowsopen-sourcecollaborationautomated workflowlow-code/no-code

Capabilities

Key features

Text-to-graph generation
Dynamic UI updates
Color-coded visualization
Flask backend
LiteLLM integration

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary purpose of prettygraph?

prettygraph is an experimental Python-based web application designed to demonstrate a new UI pattern for generating knowledge graphs from text. It focuses on dynamically highlighting text input as the graph is created and updated in real-time.

What technologies does prettygraph use for its functionality?

The application utilizes Flask for its backend, LiteLLM for generating predictions to transform text into JSON graph data, and Cytoscape.js for visualizing the knowledge graphs. It's built with Python and uses Poetry for dependency management.

Does prettygraph require an API key to run?

Yes, to run prettygraph, you need to set up the OPENAI_API_KEY environment variable. The application uses LiteLLM for generating predictions, which relies on an OpenAI API key for its operations.

How does prettygraph update the knowledge graph?

prettygraph provides dynamic UI updates where the knowledge graph regenerates and updates in real-time with each sentence termination (period) in the text input. This offers an interactive experience with color-coded nodes and edges.

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Subcategories trending in Data & Analytics

Predictive Analytics Data Labeling & Annotation Real-Time Analytics Market Research Data Cleaning & Prep Data Pipelines & Integration

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Also listed in

This tool also appears in

Coding & Development › Frontend & UI Research & Education › Knowledge Management Coding & Development › Open Source & Models

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