PyCryptodome

PyCryptodome is a self-contained Python package of low-level cryptographic primitives.

It supports Python 2.4 or newer, all Python 3 versions and PyPy.

The installation procedure depends on the package you want the library to be in. PyCryptodome can be used as:

1. an almost drop-in replacement for the old PyCrypto library. You install it with:

   pip install pycryptodome
   

   In this case, all modules are installed under the Crypto package.

   One must avoid having both PyCrypto and PyCryptodome installed at the same time, as they will interfere with each other.

   This option is therefore recommended only when you are sure that the whole application is deployed in a virtualenv.

2. a library independent of the old PyCrypto. You install it with:

   pip install pycryptodomex
   

   In this case, all modules are installed under the Cryptodome package. PyCrypto and PyCryptodome can coexist.

For faster public key operations in Unix, you should install GMP in your system.

PyCryptodome is a fork of PyCrypto. It brings the following enhancements with respect to the last official version of PyCrypto (2.6.1):

• Authenticated encryption modes (GCM, CCM, EAX, SIV, OCB)
• Accelerated AES on Intel platforms via AES-NI
• First class support for PyPy
• Elliptic curves cryptography (NIST P-256 curve only)
• Better and more compact API (nonce and iv attributes for ciphers, automatic generation of random nonces and IVs, simplified CTR cipher mode, and more)
• SHA-3 (including SHAKE XOFs) and BLAKE2 hash algorithms
• Salsa20 and ChaCha20 stream ciphers
• scrypt and HKDF
• Deterministic (EC)DSA
• Password-protected PKCS#8 key containers
• Shamir's Secret Sharing scheme
• Random numbers get sourced directly from the OS (and not from a CSPRNG in userspace)
• Simplified install process, including better support for Windows
• Cleaner RSA and DSA key generation (largely based on FIPS 186-4)
• Major clean ups and simplification of the code base

PyCryptodome is not a wrapper to a separate C library like OpenSSL. To the largest possible extent, algorithms are implemented in pure Python. Only the pieces that are extremely critical to performance (e.g. block ciphers) are implemented as C extensions.

For more information, see the homepage.

All the code can be downloaded from GitHub.

News

• 2 Feb 2018 (NEW). Bugfix release 3.4.10.
• 1 Feb 2018. Bugfix release 3.4.9.
• 27 Jan 2018. Bugfix release 3.4.8.
• 26 Aug 2017. Bugfix release 3.4.7.
• 17 May 2017. Bugfix release 3.4.6.
• 6 Feb 2017. Bugfix release 3.4.5.
• 1 Feb 2017. Bugfix release 3.4.4.
• 17 Oct 2016. Bugfix release 3.4.3.
• 8 Mar 2016. Bugfix release 3.4.2.
• 21 Feb 2016. Release 3.4.1.
• 7 Feb 2016. Release 3.4.
• Nov 2015. Release 3.3.1.
• 29 Oct 2015. Release 3.3.
• 9 Sep 2015. Minor release 3.2.1.
• 6 Sep 2015. Release 3.2.
• 15 Mar 2015. Release 3.1.
• 24 Jun 2014. Release 3.0.