Compare code scanners without the vendor fluff
These pages are built from official product sources and real workflow tradeoffs. Use them to narrow the shortlist, then run Skylos on a repo you actually ship.
Choose a tool, then verify it on a real repo
These comparisons are for narrowing the decision. The fastest way to know if Skylos fits your workflow is still a local scan on code you already own.
pip install skylosskylos . -a on one reposkylos cicd init only if the signal is usefulGitHub Code Quality vs Skylos: Pricing, Dead Code, CI
GitHub Code Quality and Skylos compared: where each runs, what each costs, which Python dead code each finds, and when to use both together.
Bandit vs CodeQL vs Semgrep for Python Security Scanning
Bandit, CodeQL and Semgrep all scan Python but fit different workflows. Compare setup, rule model, customization, GitHub fit, pricing and dead code.
Bandit vs Skylos: Which Python Security Scanner Should You Use?
Bandit vs Skylos for Python security scanning: where Bandit is stronger, where Skylos adds taint, dead code and AI-code checks, and when to run both.
Snyk vs Skylos: Python Security Comparison
Compare Snyk and Skylos for Python security, including SCA, source analysis, containers, IaC, dead code, changed-code checks, deployment, and pricing.
SonarQube Alternative: Skylos vs SonarQube (2026)
A free SonarQube alternative: Skylos checks every pull request on any branch, with no lines-of-code billing and checks for coding-agent mistakes.
Best Python SAST Tools in 2026 Compared
Semgrep, Bandit, CodeQL, Vulture and Skylos compared for Python: security scanning, dead code, CI setup, pricing and AI-generated code review in 2026.
Deadcode vs Vulture vs Skylos: Python Dead Code Tools (2026)
Vulture: maintained, MIT, needs framework config. deadcode: auto-fix, AGPL, last release 2024. Skylos: framework-aware, less config. Tested on Flask and Django.
Semgrep vs Skylos: Which Python SAST Tool Should You Use?
A detailed comparison of Semgrep and Skylos for Python static analysis. Where Semgrep has the edge, where Skylos is stronger, and which one fits your workflow.
Move from tool comparison to a real workflow
If the comparison points toward Skylos, the right next move is not a demo. It is a local scan on a repo you already maintain.