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Tools/Streamlit vs Graphiti
Streamlit

Streamlit

framework
vs
Graphiti

Graphiti

framework

Streamlit vs Graphiti — Comparison

Overview
What each tool does and who it's for

Streamlit

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Based on the limited social mentions provided, Streamlit appears to be gaining attention in the AI and data visualization space, with users leveraging it for rapid prototyping of data dashboards and intelligence platforms. The mentions suggest developers are using Streamlit to build sophisticated tools like news intelligence platforms and dashboard generators within very short timeframes (as little as 3 days). Users seem to appreciate Streamlit's ability to quickly transform data science projects into shareable web applications. However, without detailed reviews or pricing discussions in the provided content, it's difficult to assess user sentiment regarding costs, specific complaints, or comprehensive strengths.

Graphiti

Build Real-Time Knowledge Graphs for AI Agents. Contribute to getzep/graphiti development by creating an account on GitHub.

Based on the provided content, there are no reviews or social mentions specifically about "Graphiti." All the social media mentions are about GitHub Copilot, Figma, npm registry tools, and other development-related topics, but none reference a tool called "Graphiti." Without actual user feedback about Graphiti, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions for this specific tool.

Key Metrics
—
Avg Rating
—
1
Mentions (30d)
33
44,071
GitHub Stars
24,254
4,179
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Streamlit

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Streamlit

tiered

Graphiti

per-seat + tiered
Use Cases
When to use each tool

Graphiti (1)

Quick Start
Features

Only in Streamlit (10)

Share your apps with the whole worldPublic apps onlyTotally freeCode in your browser or favorite editorWork with Git and CI/CDEnterprise-grade securityDeploy with Streamlit Community CloudDeploy with SnowflakeNeil TreatGoogle X

Only in Graphiti (10)

Build context graphs that evolve with every interaction — tracking what's true now and what was true before.Give agents rich, structured context instead of flat document chunks or raw chat history.Query across time, meaning, and relationships with hybrid retrieval (semantic + keyword + graph traversal).Python 3.10 or higherNeo4j 5.26 / FalkorDB 1.1.2 / Kuzu 0.11.2 / Amazon Neptune Database Cluster or Neptune Analytics Graph + Amazon OpenSearch Serverless collection (serves as the full text search backend)OpenAI API key (Graphiti defaults to OpenAI for LLM inference and embedding)Google Gemini, Anthropic, or Groq API key (for alternative LLM providers)Connecting to a Neo4j, Amazon Neptune, FalkorDB, or Kuzu databaseInitializing Graphiti indices and constraintsAdding episodes to the graph (both text and structured JSON)
Developer Ecosystem
108
GitHub Repos
11
4,702
GitHub Followers
417
20
npm Packages
13
40
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Streamlit

Streamlit screenshot 1

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
35
Employees
6,000
$862.0M
Funding
$7.9B
Merger / Acquisition
Stage
Other
Supported Languages & Categories

Streamlit

AI/MLDevOpsSecurityAnalyticsDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Streamlit Profile View Graphiti Profile