Search Results for "java awt compiler"
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Showing 6 open source projects for "java awt compiler"
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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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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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MiningMart is a graphical tool for transforming data from relational databases. It provides two dual graphical views on the transformations, a data view and a process view. The focus is on the preparation of data for data mining.
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Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
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GridPlan is an open source capacity planning and simulation tool for Grid Computing. GridPlan estimates the cost and performance of Grids comprised of Processor, Storage, Router and Switching nodes.
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AlphaMiner is an open source data mining platform that offers versatile data mining model building and data cleansing features with an user friendly workflow interface.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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OpenDigger is a java based compiler for the xETL language. xETL is a language specifically projected to read, manipulate and write data in any format and database. With OpenDigger/XETL you can build powerful Extraction-Transformation-Loading (ETL) progs!
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An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.
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