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Showing 4 open source projects for "python tools"
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Simplify Your Managed File Transfers with JSCAPEPlatform Independent Managed File Transfer Server. JSCAPE is the perfect solution for businesses and government agencies looking to centralize your processes and provide secure, seamless and reliable file transfers. Meet all compliance regulations including PCI DSS, SOX, HIPAA and GLBA.
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Odoo Business ApplicationsOdoo is a fully integrated, customizable, open-source software packed with hundreds of expertly designed business applications. Odoo’s intuitive database is able to meet a majority of business needs, such as: CRM, Sales, Project, Manufacturing, Inventory, and Accounting, just to name a few.
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s3cmd
Command line tool for managing Amazon S3 and CloudFront services
Open-source tool to access Amazon S3 file storage. S3cmd is a free command line tool and client for uploading, retrieving and managing data in Amazon S3 and other cloud storage service providers that use the S3 protocol, such as Google Cloud Storage. Lots of features and options have been added to s3cmd since its very first release in 2008.... we recently counted more than 60 command line options, including multipart uploads, encryption, incremental backup, s3 sync, ACL and Metadata... -
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lbatofile
Map logical block address to filename
A sysadmin tool that maps a sector (for example a bad sector) to a filename (so you know which file got trashed). It relies on and integrates a variety of other tools such as blkid, lvm, and debugfs to chase the sector number through the layers of partitions, logical volumes, and filesystems that are part of a modern system. -
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A Python API to interface with ZFS pools and filesystems via libzfs, providing directly to Python the kinds of things that the /usr/sbin/zfs and /usr/sbin/zpool tools do from the command line.
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Our xDM platform turns business users into data champions.It empowers organizations of any size to build trusted data applications quickly, with fast time to value using a single software platform for governance, master data, reference data, data quality, enrichment, and workflows.
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