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Showing 4 open source projects for "commander"
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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Outbound sales softwareAdversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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For starting / stopping, getting state, etc. of the VmWare guests. Translate Java calls into vmware shell commands, which are then executed through a locale shell or through a secure remote shell on to the VmWare server console.
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A Perl script that interfaces with the Devantech USB to I2C interface adapter. This script allows a user to read and write as a master to the i2c bus as well as set or get the value of the io pins.
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Unit test framework for PegaRULES Process Commander applications. PRUnit is based on the xUnit family of testing frameworks. PRUnit is downloaded as a Zip file that can be uploaded to your PRPC system and loaded into the rule base.
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BP-Tools
Set of useful tools for payment service development
...BP-Tools suite currently consists of following three components: - BP-CCALC: Cryptographic Calculator - BP-CardEdit: Thales P3 Input/Output file editor - BP-EMVT: EMV Tool - BP-HCMD: Thales HSM Commander -
SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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