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DataFrog Developer Tools

Free & open-source

DataFrog (Developer Tools): DataFrog builds practical AI software products for real-world workflows, including browser extensions, developer tools, and automation. Pricing: Free & open-source. (data verified August 2026)

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About DataFrog

What is DataFrog?

DataFrog is a software company that designs and ships practical AI-powered tools for real-world workflows. Their portfolio includes browser extensions, developer tools, MCP services, web apps, and automation tools, all built to solve specific problems without unnecessary complexity.

What problem does it solve?

DataFrog addresses the gap between AI capabilities and everyday productivity. Instead of generic AI assistants, DataFrog creates focused tools that integrate into existing workflows—like managing bookmarks, streamlining visa applications, inspecting web pages with AI, and connecting AI assistants to codebases.

Who is DataFrog for?

DataFrog is ideal for developers, power users, and professionals who want AI to handle niche tasks without leaving their current tools. It's not for those looking for a general-purpose AI chatbot or a large all-in-one platform.

Real use cases

Use DataFrog's WideMark to organize and search bookmarks in Chrome's side panel. Use WTFAA for AI-powered web page inspection and design review. For developers, MCPxHub bridges Claude Desktop with popular IDEs, and N2N Memory gives AI project knowledge that follows the codebase.

Key features

  • WideMark — A compact bookmark manager in Chrome's side panel with search, organization, style folders, and duplicate detection.
  • eVisaFlow — A Chrome extension for supported Southeast Asia visa and digital arrival-card workflows.
  • WTFAA — An AI side panel for reading, design review, frontend inspection, translation, screenshots, and test-data form actions on the current web page.
  • MCPxHub — A local MCP middleware layer that connects Claude Desktop to VS Code-family and JetBrains IDEs.
  • N2N Memory — A repository-level MCP memory tool that makes AI project knowledge follow the codebase instead of a chat session.
  • N2N Post2Site — An open-source MCP bridge between AI assistants and website content APIs.

SaaSpartout Score

7.2 /10
Ease of use 7.5
Features depth 8.0
Value for money 8.5
Support quality 6.0
Integrations 7.5
Scalability 6.5
Documentation 6.5
Onboarding speed 7.0

Editorial score from our review methodology — not user ratings.

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DataFrog Pricing

DataFrog pricing: Free & open-source. Billing model: Free.

Free & Open Source

Many DataFrog products are open-source and free to use, as seen on platforms like GitHub. Some may offer paid tiers for advanced features or support.

Commercial Products

DataFrog also ships commercial web apps and browser extensions, with pricing details typically provided on individual product pages.

No specific pricing data was available in the scraped context. Check product pages for current pricing.

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Frequently asked questions

How much does DataFrog cost?
Many DataFrog products are open-source and free to use, but some commercial tools may have paid plans. Exact pricing varies by product; check the specific product page for details.
Is DataFrog free?
Yes, several DataFrog products are open-source and free, such as N2N Memory and N2N Post2Site, available on GitHub. Other products may have paid tiers.
Who is DataFrog best for?
DataFrog is best for developers, power users, and professionals who need focused AI tools for specific tasks like bookmark management, web inspection, or connecting AI to codebases.
What are the main features of DataFrog?
DataFrog offers a range of tools including WideMark (bookmark manager), eVisaFlow (visa workflows), WTFAA (AI web inspector), MCPxHub (IDE bridge), and N2N Memory (repository-level memory).
What are some alternatives to DataFrog?
Alternatives include other developer tool suites, browser extension collections, and MCP servers. Popular options include Chrome extensions like Raindrop.io for bookmarks, or general AI assistants like Claude Desktop plugins.
What is the key limitation of DataFrog?
DataFrog products are niche-specific, so they may not offer a unified platform experience. Users may need to use multiple tools for different tasks.