
Cursor
Claude Code
Windsurf Editor
replit
Codeium
Tabnine
Codex by OpenAI
Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

Akto
Metlo API Security
Pynt.io
Discover your API surface and test authorization, OWASP API Top 10, and business-logic risks before production. Start free with no credit card.

Which is more popular?
Based on our record, GitHub Copilot seems to be more popular. It has been mentioned 388 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | github.com | apyguard.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States | Startup from Turkey · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
ApyGuard is a developer-first API security testing platform that finds vulnerabilities and authorization flaws before they reach production. Most teams don't have an accurate picture of the APIs their applications actually expose. OpenAPI files go stale, and AI coding assistants (Copilot, Cursor,...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of ApyGuard yet.
Walkthroughs and reviews on video.
Game over… GitHub Copilot X announced
More videos
ApyGuard - API Discovery Chrome Extension
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GitHub Copilot and ApyGuard.
ApyGuard's answer:
ApyGuard starts from source code, not traffic. Most API security platforms watch production traffic to discover APIs — which means they can only see endpoints that are already deployed and receiving requests. ApyGuard discovers endpoints directly from the codebase, generates OpenAPI documentation from what it finds, and tests for OWASP API Top 10 issues — especially authorization flaws like BOLA and BFLA — before the code ships. It also comes with APIScout, a free VS Code extension (also on Open VSX for Cursor and Windsurf) that runs endpoint discovery entirely locally, so no code ever leaves the developer's machine. And unlike most of the category, pricing is public and self-serve, starting at $129/month.
ApyGuard's answer:
It depends on your situation, honestly. If you're an enterprise with a security operations team and a six-figure budget, traffic-based platforms are mature options. ApyGuard is built for the teams those platforms don't serve: startups and SMBs that ship APIs every week without a dedicated AppSec department. Compared to spec-first tools, ApyGuard doesn't require you to already have an OpenAPI file — it generates one from your code. Compared to traffic-based tools, it tests pre-production instead of after exposure. Compared to per-endpoint enterprise pricing, it starts at $129/month with a seven-day trial, no credit card and no sales call. You can find out what your API actually exposes the same day you sign up.
ApyGuard's answer:
Backend developers, DevSecOps engineers, and engineering leaders at startups and small-to-mid-sized technology companies — typically SaaS, fintech, e-commerce, and healthcare teams. A fast-growing part of our audience is teams building with AI assistants like Copilot, Cursor, and Claude Code, who need to know exactly which endpoints their AI-assisted codebase actually exposes.
ApyGuard's answer:
The recurring problem: teams almost never had an accurate picture of the APIs their applications exposed. OpenAPI files went stale, undocumented endpoints shipped every sprint, and the tools that could help were priced and designed for large enterprises. AI coding assistants made the gap worse - code ships faster than anyone documents or reviews it. ApyGuard was built to close that gap from the source code side: discover what's really there, document it automatically, and test it before production - at a price a startup can actually pay.
ApyGuard's answer:
Python (static analysis and scanning engine) TypeScript (web application and VS Code extension)
Share your experience with using GitHub Copilot and ApyGuard. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


GitHub Copilot is a powerful tool that developers use to boost their productivity and streamline their coding process with the aid of AI.
Accelerated handling of repetitive tasks: You already know how to write a pagination query or scaffold an endpoint, so why waste time? Tools like GitHub Copilot or Codeium handle the boilerplate so you can focus on...
GitHub Copilot Chat is similar — you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better...
We have no reviews of ApyGuard yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you... - Source: dev.to / about 2 months ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's... - Source: dev.to / 3 months ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / 4 months ago
Tracking ApyGuard since Aug 2026.
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Pynt offers dynamic API security testing for developers and testers to identify and fix vulnerabilities during the development lifecycle.
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