Search Results for "java parse dxf"
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Showing 4 open source projects for "java parse dxf"
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QA Wolf | We Write, Run and Maintain TestsQA Wolf is an AI-native service that delivers 80% automated E2E test coverage for web & mobile apps in weeks not years.
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LogDruid
Generate charts and reports using data gathered in log files
An application to gather, aggregate, chart and report information originating from any log files. It uses regular expressions that are constructed graphically and can be tested in the application against samples. Once configured for a specific type of log file set, the gathering and display of the chart for a new files set can be done in just one click. Contains a sample template to handle few log types: Java GC log, OpenDS access log, Apache access log -
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Java library to parse GNU Makefiles. The source code is available from SVN. The latest revision should be in trunk, the latest "stable" release should be in branch.
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SarBox
SarBox helps user to parse or analyze sar data
The software program (SarBox) parses and analyzes SAR data in charts or text formats. SAR is cumulative activity counters in the operating system. It is the most comprehensive command which helps to monitor performance of various Linux / Solaris subsystems (CPU, Memory, I/O, Disk, Network, etc) all in same log. This makes it difficult to analyze since every counter data is dumped into the log file. SarBox helps to analyze this log file and present data in graphical charts or text... -
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XML parser is a tool written in java, which can parse any XML file fed to it. It generates the needed source code to parse your XML, based on the specified schema.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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