Prettygraph

An experimental UI that transforms text into knowledge graphs.

CommonProductProgrammingKnowledge GraphText Analysis

Prettygraph is a Python-based web application developed by @yoheinakajima, showcasing a new UI paradigm for dynamically converting text input into knowledge graphs. This project is a quick prototype aimed at providing a simple UI idea, generating knowledge graphs by highlighting the text in the UI in real-time.

Text to Graph Generation: Converts user input text into a knowledge graph.
Dynamic UI Updates: Each text input ending with a period updates the graph.
Color-Coded Visualization: Nodes and edges in the graph are colored for visual distinction.
Real-Time Updates: The graph is updated in real-time after each period
providing an interactive experience.
Dependency Management: Dependency management is facilitated using Poetry
simplifying project setup.
Environment Variables Configuration: The OPENAI_API_KEY environment variable must be set to run the application.
Open Source License: The project follows the MIT License
offering open-source code.

Researchers and Data Scientists: Utilize Prettygraph to rapidly convert textual data into visualized knowledge graphs for analysis and comprehension.
Educators: Use Prettygraph as a tool to present complex concepts and relationships during teaching.
Developers: Prettygraph offers an experimental starting point for developers seeking to integrate knowledge graph generation into their applications.

Convert the abstract of a research paper into a knowledge graph to allow researchers to quickly grasp the key points of the article.
In the education field
convert textbook content into graphs to assist students in memorizing and understanding.
In business intelligence
convert market research reports into graphs to reveal market trends and competitive relationships.

Clone Repository: Use the git command to clone Prettygraph's codebase locally.
Navigate to Project Directory: Use the command line to navigate to the cloned Prettygraph project folder.
Install Dependencies: Use the Poetry command to install the dependencies required for the project.
Configure Environment Variables: Create a .env file in the project root directory and add OPENAI_API_KEY.
Run Application: Use 'poetry run python main.py' to start the Flask application.

Visit

Prettygraph Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

Prettygraph Visit Trend

Prettygraph Visit Geography

Prettygraph Traffic Sources

Prettygraph Alternatives

iText2KG — Incrementally build knowledge graphs using large language models.

Productivity•Knowledge Graph•Natural Language Processing

The Knowledge Graph Maker — A Python tool for converting text into knowledge graphs.

Programming•Knowledge Graph•Semantic Network

TurboScripter — Streamlit is an open-source Python library designed for quickly creating data applications and prototypes for machine learning products.

Programming•Python•Data Analysis

Briefer — A collaborative data platform that supports interactive notebooks with SQL and Python.

InternationalSelection•Data Analysis•Data Visualization

Fine AI Coding Workflows — Leverage AI to automate development processes and enhance development efficiency.

Programming•Automation•Development Tools

muAgent — An innovative agent framework driven by a knowledge graph engine.

Programming•Agent Framework•Knowledge Graph

fact-finder — An intelligent question-answering system based on knowledge graphs.

Programming•Intelligent Q&A•Knowledge Graph

5118 AI Content Detector — One-click detection of whether the text is AI-generated

ChineseSelection•Content Detection•Text Analysis

162

parsera — A lightweight Python library for web scraping using large language models.

Programming•Python•Data Scraping

MixTeX-Latex-OCR — Efficient local offline LaTeX recognition tool powered by CPU.

Productivity•python•machine-learning

114

LLaMA Assistant for Mac — A simple assistant for Mac, utilizing llama-cpp-python.

Programming•Mac•Python

Memary — An open-source memory layer that provides human-like memory functions for autonomous agents.

Programming•Memory Layer•Knowledge Graph

OpenSearch GPT — A personalized AI search engine that learns your browsing habits.

Productivity•Search Engine•Personalization

174

SuperCoder 2.0 — Open Source Autonomous Software Development System

Programming•Open Source•Autonomous Development

168

SuperCoder — An autonomous software development system that enhances coding efficiency.

Programming•python•go

Composio — A toolkit for AI agents enabling complex task handling.

Programming•javascript•python

RDFox — High-performance knowledge graph database and reasoning engine

InternationalSelection•Knowledge Graph•Reasoning Engine

Datalore — AI-driven data analytics tool

Programming•Data Analytics•Natural Language Processing

138

llm-graph-builder — Neo4j Application for Building Knowledge Graphs

Programming•Neo4j•Knowledge Graph

1080

Crawlee — A Python library for web scraping and browser automation

Programming•python•crawler

144

Keatext — AI-Powered Text Analysis Platform

Business•Text Analysis•Customer Experience

186

Great Tables — A library for creating elegant tables in Python

Productivity•Python•data visualization

144

Onyxium — All-in-One AI Tool Platform

Productivity•Image Recognition•Text Analysis

108

meet-libai — Promoting Li Bai's poetic culture through AI intelligent agents

Education•Li Bai•Poetry

180

Comic Translate — Desktop application for automatic comic translation

Productivity•python•ocr

192

Best AI Websites & Tools