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Gitql VS ApyGuard

Compare Gitql VS ApyGuard and see what are their differences

Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Alternatives Is it good?
ApyGuard

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

Rating
0 reviews
Pricing
Paid Free trial $129 / Monthly
Alternatives Is it good?
Axcrypt
AxCrypt is a powerful, easy-to-use encryption tool that protects your files, passwords, and personal information with strong AES-256 security. Available on Windows, Mac, Android, and iOS, it keeps your data safe wherever you go. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Git popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Gitql
ApyGuard
Website github.com apyguard.com
Pricing —
Paid Free trial $129 / Monthly Official pricing
Platforms —
SaaS
Company — Startup from Turkey · 1 - 9 employees
Listed in
Git Development Programming Language Code Collaboration +1
Cyber Security APIs API Tools Vulnerability Scanner Penetration Testing API Testing Api Security +4

About Gitql and ApyGuard

In their own words, as submitted to SaaSHub.

Gitql
ApyGuard

No description of Gitql yet.

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,...

Read more about ApyGuard

Features and specs

What each product offers, as listed by its team.

Gitql 0 features
ApyGuard 17 features

No features have been listed yet.

  • API Security
    Developer-first API security: discovery, documentation, testing, and vulnerability management in one platform.
  • API Security Assessment
    Maps your full API attack surface and delivers a prioritized, evidence-backed risk report.
  • API Security Testing
    Simulates real attacks with payloads tailored to each API's schema and role model to catch broken auth, injection, and authorization flaws before production.
  • API Discovery
    Finds every endpoint your backend actually exposes by analyzing the codebase directly, before deployment.
  • Sensitive Data Detection
    Identifies endpoints exposing sensitive data that needs protection or masking.
  • Behavioral Analysis
    Learns normal API behavior and flags anomalies and business-logic issues beyond schema validation.
  • OpenAPI Documentation
    Generates and maintains OpenAPI specifications from discovered endpoints, so docs never go stale.
  • Business Logic Testing
    Detects logic abuse schema validation can't catch, like users reaching other users' data or skipping workflow steps.
  • OWASP API Top 10 Coverage
    Automated test coverage for the full OWASP API Security Top 10.
  • CI/CD Integration
    Blocks releases on critical findings via GitHub Actions, GitLab CI, CircleCI, and Azure DevOps.
  • Scheduled Scans
    Runs security tests on demand or on a recurring schedule for continuous coverage.
  • Vulnerability Management
    Dashboards for risk posture, trends, and endpoint-level insight, with Jira and Slack routing.
  • Compliance Reporting
    Maps findings to OWASP, GDPR, and PCI DSS requirements for audits and security questionnaires.
  • SaaS
    Cloud-hosted with nothing to deploy — no agents, no traffic mirroring; sign up and run your first scan the same day.
  • On-Premise Deployment
    Self-hosted option for organizations with data residency or isolation requirements.
  • VSCode Extension
    APIScout: free, local-first endpoint discovery and OpenAPI generation in the editor — no code leaves your machine. Also on Open VSX for Cursor and Windsurf.
  • Chrome Extension
    Captures API calls from live browsing sessions to discover endpoints and feed your API inventory.

Analysis

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

Gitql
ApyGuard

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

No analysis of ApyGuard yet.

Videos

Walkthroughs and reviews on video.

Gitql 0 videos + Add
ApyGuard 2 videos + Add

No Gitql videos yet. You could help us improve this page by suggesting one.

ApyGuard - API Discovery Chrome Extension

More videos

  • - Detect API Behavior Drift Before It Becomes a Risk | ApyGuard Behavior Profiling

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Gitql
ApyGuard
100% 100%
Git
0% 0%
0% 0%
API Tools
100% 100%
100% 100%
Code Collaboration
0% 0%
0% 0%
Vulnerability Scanner
100% 100%

Questions & Answers

As answered by people managing Gitql and ApyGuard.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

ApyGuard's answer:

Python (static analysis and scanning engine) TypeScript (web application and VS Code extension)

User comments

Share your experience with using Gitql and ApyGuard. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Gitql 1 mention
ApyGuard 0 mentions
  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

Tracking ApyGuard since Aug 2026.

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