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Download-Software etikettierte vorbei free activex encryption component

Das populärste Programm: Quick Slide Show 2.00
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Wir empfehlen uns: PDF Viewer Component 3.2
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2021-12-18
The ActiveX Barcode Control and DLL is a component that generates graphic linear barcodes like Code 39, Code 128, GS1-128, UPC-A, UPC-E, EAN-8, EAN-13, Intelligent Mail and others, in any application that supports COM or ActiveX components.
2007-08-25
Create professional quality bar codes with BarCodeWiz ActiveX.Insert it into your Word document, Access report, or Excel spreadsheet. Type your data into the Barcode field, and click Print
Chilkat Ruby Encryption Library 4.0 durch Chilkat Software, Inc.
2006-10-21
The Chilkat Ruby encryption library provides an advanced API for symmetric encryption, public-key encryption, digital signatures, hashing, and encoding/decoding.
Chilkat Perl Encryption Library 4.0 durch Chilkat Software, Inc.
2006-10-22
The Chilkat Perl encryption library provides an advanced API for symmetric encryption, public-key encryption, digital signatures, hashing, and encoding/decoding.
Chilkat Python Encryption Library 4.0 durch Chilkat Software, Inc.
2006-10-22
The Chilkat Python encryption library provides an advanced API for symmetric encryption, public-key encryption, digital signatures, hashing, and encoding/decoding.
Chilkat Java Encryption Library 4.0 durch Chilkat Software, Inc.
2006-10-22
The Chilkat Java encryption library provides an advanced API for symmetric encryption, public-key encryption, digital signatures, hashing, and encoding/decoding.
2005-10-26
This easy-to-use toolkit includes both fast and high-ratio compression (better than ZIP) with strong encryption. It has everything you need to compress and encrypt files, memory buffers and strings.
2005-10-26
Genetic System can be used to solve optimization problems. This component can be used to construct binary genetic system, it provides user with appropriate functionality to control the generation.
2005-10-26
Artificial Neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation Neural Network and to train it with provided samples, then finally recall it with appropriate data.
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