Search Results for "tiny-workflow"
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Showing 4 open source projects for "tiny-workflow"
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zhcrypt
Tiny front end to hcrypt.exe from project page Hcrypto
Zhcrypt is simply a tiny front end to hcrypt.exe, one of the utilities found within the Hcrypto suite found on Sourceforge. Hcrypt.exe is a Windows command line utility that will encrypt and decrypt files offering a variety of common and uncommon algorithms, including AES-128, AES-192, AES-256, Blowfish, CAST-128, CAST-256, DES, TripleDES, DESX, GOST, DEA, KASUMI, MARS, MISTY1, Noekeon, RC2, RC5, RC6, SAFER-SK, SEED, Serpent, Skipjack, Square, TEA, Twofish, and XTEA -
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SES Super-Encypherment Scrambler
SES brings back the uncrackable onetime pad, with a digital twist.
SES brings back the uncrackable onetime pad, with a digital twist. It is well known that a random key of message-length is the only provably unbreakable cipher. SES uses cryptographic strength pseudo-random keys of message-length for its many encipherments, in addition to offering true one-time pad capability for the intrepid. SES is built on ISAAC, Bob Jenkins' unbroken CSPRNG, a fast and simple stream cipher placed in the Public Domain in 1996. SES now gives you the ability to... -
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ISC - The ISAAC Stream Cipher
ISC lets you encrypt & decrypt text and files of any type up to 4GB
ISAAC is a cryptographically secure pseudo-random number generator (CSPRNG) and stream cipher. It was developed by Bob Jenkins from 1993-1996 and placed in the Public Domain. ISAAC is fast - especially when optimised - and portable to most architectures in nearly all programming and scripting languages. After more than 20 years of existence ISAAC has not been broken, and the little program you have here allows you to use it to encrypt and decrypt text of arbitrary length, files of any... -
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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