Popularity

5.1

Declining

Activity

0.0

Stable

Stars 1,401

Watchers 31

Forks 105

Last Commit 10 months ago

Description

A python port of the JavaScript hashids implementation. It generates YouTube-like hashes from one or many numbers. Use hashids when you do not want to expose your database ids to the user. Website: http://www.hashids.org/

Code Quality Rank: L5

Programming language: Python

License: MIT License

Tags: Cryptography

Latest version: v1.3.1

hashids alternatives and similar packages

Based on the "Cryptography" category.
Alternatively, view hashids alternatives based on common mentions on social networks and blogs.

Paramiko

9.0 8.0 L2 hashids VS Paramiko

The leading native Python SSHv2 protocol library.
cryptography

8.5 9.9 L2 hashids VS cryptography

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

WorkOS - The modern identity platform for B2B SaaS

The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

Promo workos.com

PyCrypto

7.2 4.3 L4 hashids VS PyCrypto

The Python Cryptography Toolkit
Themis

5.7 5.9 L3 hashids VS Themis

Easy to use cryptographic framework for data protection: secure messaging with forward secrecy and secure data storage. Has unified APIs across 14 platforms.
pyOpenSSL -- A Python wrapper around the OpenSSL library

5.2 7.7 hashids VS pyOpenSSL -- A Python wrapper around the OpenSSL library

A Python wrapper around the OpenSSL library
PyNacl

4.9 5.3 L3 hashids VS PyNacl

Python binding to the Networking and Cryptography (NaCl) library
ContentHash for Python

0.9 5.4 hashids VS ContentHash for Python

Python implementation of EIP 1577 content hash
Passlib

0.8 - hashids VS Passlib

Secure password storage/hashing library, very high level.
HashLib4Python-CPPWrapper

0.3 0.0 hashids VS HashLib4Python-CPPWrapper

HashLib4Python is a cython wrapper around HashLib4CPP library that provides an easy to use interface for computing hashes and checksums of strings, files and bytearrays.