Search Results for "terminal portable linux"
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Showing 7 open source projects for "terminal portable linux"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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TER implements the CCSDS Recommendation for Image Data Compression (CCSDS 122.0-B-1). TER also adds new features to the Recommendation. TER is designed and programmed with the aim to provide a good basis to test and develop the CCSDS Recommendation.
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backdup
BackDup is a Duplicity front-end for MacOS and Linux
BackDup is a Duplicity (http://duplicity.nongnu.org/) front-end for MacOS and Linux written in Java. Duplicity creates bandwidth-efficient backup using the rsync algorithm. Mac OS users: please install Duplicity via macports (https://www.macports.org/) Linux users: install Duplicity via your package manager as usual. -
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BAR can create compressed, encrypted and splitted archives of files and disk images which can be stored on a disk, cd, dvd, bd or directly on a ftp, scp or sftp server. A server-mode and a scheduler is integrated for making automated backups.
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CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
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Command line tool written in Java, that automaticly unpacks (password protected) RAR-Archives or multi-part RARs, if all belonging files are complete. It is designed to do unrar jobs on Linux-based NAS-Devices when downloading from Rapidshare & co.
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An algorithm for compression and decompression of Binary Decision Diagrams will in many cases reduce the size of the BDD to 1-2 bits per node.
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