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Showing 5 open source projects for "raw"
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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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One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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Storing data in a database-table with ident, parent, haschild rows holding information about your products, your database, your repository, your ... what ever you can imagine, than php_tree gives you handy, raw-functions to display, inject, move and delet
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ImageCentral is an image database and image processor, in one package. It features integrated RAW conversions through ufraw. A web album frontend is also available in the package.
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idyaDBX is a lightweight library written in PHP that implements an embeddable SQL database engine, with the raw data being stored as XML. PHP scripts can include idyaDBX as a header to handle their data using SQL, without the need for an external DBMS.
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Many developers needlessly loop through data in an effort to present raw, normalized, data into a more readable, tabular format, not realizing; that, "characteristic functions" can accomplish the same goal, elegantly, and more efficiently.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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MySQL PHP Simple Auditor
A "drop-in" replacement for mysql_query
...The solution was a simple "drop in" replacement for the mysql_query call. From there, a simple search/replace on the codebase. The auditor will capture "who did what" and "when". It is also smart enough to fully parse the raw MySQL query and compare updates to existing rows. Only actual changes are recorded in the audit log (database table) regardless of the SQL. Finally, a simple web viewer for reviewing and managing the audit trail. Job done. :-)
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