Search Results for "data science"
Sort By:
Showing 7 open source projects for "data science"
View related business solutions-
Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
-
Stay productive working at any distance from anywhere with Monitask.
-
1
-
2
Gavrog stands for "Generation, Analysis and Visualization of Reticular Ornaments using Gavrog". It is a Java library together with a suite of interactive applications for the study of periodic net-like structures in space and their applications.
-
3
Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
-
4
rSIGNAL - ruby Simple Inter-Interface Generic Aggregation Layer. It allows external data sources to be aggregated, store the aggregated data and print the aggregated data out in a transformed format to a file (or integrated HTTP server) on demand.
-
HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
-
5
Construct and management virtual clusters which the nodes of the clusters running on the virtual machine rather than native machine. Fast install and switch virtual clusters. Efficiently storage vm images. support variant VMMs.
-
6
The Ruby Dynamic Data Tracker project aims at designing an evolution of the BeOS Tracker interface. It takes advantage of the assets of the Ruby language. It is written especially for FreeBSD although any Unix-compliant OS running QT should do.
-
7
The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
- Previous
- You're on page 1
- Next