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Showing 4 open source projects for "apache pdf"
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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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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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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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A database editor, suitable as front-end for all your relational databases. Connects to Oracle, DB2, MySQL and many other databases. Used to easily query, update and administer your database, create reports and synchronize data.
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DataVision is a reporting tool similar to Crystal Reports. DV supports many data sources (JDBC, files) and many output formats (HTML, XML, PDF, LaTeX, Excel, delimited files, DocBook). DV includes a GUI editor. DV is embeddable. Reports are XML-based.
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QExcel Converter SQL QT4, Import xml excel/openoffice 2003 format, sqlite3 sql text/binary, edit table and export to various Format, Pdf XSL format objects Apache fop JAVA(XSL-FO), XML/XSLT , excel, SQL text sqlite3 dump file and MYSQL SQL to XML/XSL.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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