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Showing 4 open source projects for "python software"

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Archiving JavaScript Clear Filters & Widen Search

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1

Rockstor

BTRFS based NAS and private cloud storage solution

Rockstor is a Network Attached Storage (NAS) and private cloud storage solution based on advanced Linux technologies like BTRFS, Docker and others. In addition to standard NAS features like file sharing via NFS, Samba, SFTP and AFP, advanced features such as online volume management, CoW Snapshots, asynchronous replication, compression, and bitrot protection are supported based on BTRFS. Rockstor also provides apps like ownCloud, Syncthing, OpenVPN, and Plex to name a few. Apps or...

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Downloads: 32 This Week

Last Update: 2025-05-29
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2

mediatum

mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.

Downloads: 0 This Week

Last Update: 2017-04-11
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3

CATBatch and Script Collection

A useful collection of batch files and scripts for daily purposes (backup, security, system management, etc.) and development

Downloads: 0 This Week

Last Update: 2018-01-22
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4

xsdb -- eXtremely Simple DataBase

XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.

Downloads: 0 This Week

Last Update: 2013-02-27
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery 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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