A lightweight Go library for password strength validation using entropy calculations, without arbitrary character rules.
go-password-validator is a Go library that validates password strength using entropy calculations instead of arbitrary rules like requiring uppercase letters or special characters. It helps developers ensure passwords are cryptographically strong by measuring entropy in bits, providing a lightweight and fast solution for server-side validation. The library avoids external dependencies and large datasets, focusing on raw cryptographic strength for reliable security assessments.
Go developers building applications that require secure password validation, such as authentication systems, user registration flows, or password strength meters. It's particularly useful for those who prefer entropy-based security over traditional rule-based approaches.
Developers choose go-password-validator for its simplicity, speed, and focus on entropy-based validation without arbitrary rules. Its lightweight design, lack of external dependencies, and client-safe error messages make it a reliable choice for secure and efficient password strength assessment in Go applications.
Validate the Strength of a Password in Go
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Uses cryptographic entropy calculations instead of arbitrary rules like requiring uppercase letters, providing a more accurate measure of password strength based on bits, as highlighted in the README.
Doesn't load large datasets into memory, ensuring quick validation with minimal resource usage, which is ideal for server-side applications.
Operates entirely locally without API calls, enhancing privacy and reliability, with no transient dependencies beyond the standard library.
Adjusts entropy for repeated characters and common sequences (e.g., '12345' counts as length 2) to avoid overestimating strength, making it more conservative.
Doesn't validate against known breached passwords or common dictionaries, as admitted in the README, requiring additional work for comprehensive security.
Developers must choose an appropriate entropy value (e.g., 60 bits), which can be subjective and requires understanding of security trade-offs without built-in guidance.
Character sets are predefined, with no direct API for custom rules or fine-tuning beyond entropy, which may not fit all use cases.