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Betterleaks vs detect-secrets

Betterleaks

betterleaks.com

detect-secrets

github.com

Side by side

FigureBetterleaksdetect-secrets
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published01
Spec score · Secrets Scanning Software7.9 (#9)8.5 (#3)
DetectionIts detection and filtering engine goes beyond regular expressions and entropy to reduce false positives, analyze findings in context, and validate whether exposed credentials are still live.Its detection strategies include regex rules, entropy heuristics, and keyword detection.
IntegrationsThe project names Aikido Security and MegaLinter among organizations and projects that use Betterleaks; MegaLinter ships it out of the box.The README documents installation through pip and Homebrew and integration as a pre-commit hook.
Intended usersThe project describes use in developer workflows, CI pipelines, security products, and AI agents.The project describes itself as designed with the enterprise client in mind.
LicenseBetterleaks is MIT licensed.The repository identifies its license as Apache-2.0.
PurposeBetterleaks is a configurable secrets scanner designed to find exposed credentials in repositories, CI artifacts, issue trackers, datasets, logs, and other sources.detect-secrets detects secrets in code and helps prevent new secrets from entering a codebase.

Plans

Betterleaks

No plans published.

Betterleaks pricing →

detect-secrets

  • detect-secretsFree

detect-secrets pricing →

In their own words

Betterleaks

Betterleaks has no write-up on Specifiction yet; its figures are above.

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detect-secrets

detect-secrets is a free, open-source Python module for finding secrets in codebases and helping stop new secrets from entering Git changes. It runs on Linux, macOS, and Windows, with self-hosted use documented through pip or Homebrew. Heuristic regular expressions inspect changes for newly committed secrets, alongside entropy and keyword detection. The scan command creates or updates a baseline of potential findings; hook flags new secrets; and audit lets analysts review, label, report, or compare baseline entries. Users can configure it as a pre-commit hook with the pre-commit framework. Built-in plugins and filters can be adjusted, and custom detector plugins and filters can be developed. Exclusions, matching-line or file exclusions, secret-value exclusions, and inline allowlist comments help handle false positives. The package can also be imported into Python scripts to scan files and serialize findings. Word-list filtering and gibberish detection require optional packages, and gibberish detection is disabled by default. The project uses Apache-2.0 licensing.

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