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Showing 7 open source projects for "linux windows"
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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
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NCO netCDF Operators
Command-line operators for netCDF and HDF files
The netCDF Operators, or NCO, are a suite of file operators which facilitate manipulation and analysis of self-describing data stored in the (freely available) netCDF and HDF formats. Volunteers welcome! See homepage for details and download links. -
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metaf2xml
Parse and decode METAR, TAF, SYNOP, BUOY, AMDAR and write data as XML
metaf2xml can download, parse and decode aviation routine weather reports (METAR, SPECI, SAO), aerodrome forecasts (TAF), synoptic observations (SYNOP), observations from buoys (BUOY) and meteorological reports from aircrafts (AMDAR). Data can also be taken from decoded BUFR messages. The extracted data can be written as XML or passed to a user-defined function (all done in Perl). It also provides XSLT style sheets to convert the XML to plain language (text, HTML), or XML with different... -
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Depth Conversion uncertainty analysis for the oil and gas industry. Incorporates cross-validation and multiple iterations.
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gputils is a collection of tools for Microchip PIC microcontrollers. Its goal is to be fully compatible with Microchip's tools, MPASM, MPLINK, and MPLIB.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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On December 8, 2009 the UK Met Office released records of worldwide land surface temperature readings. This project analyzes these records and produces output files that can be read by gnuplot and Google Earth to show temperature trends.
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The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) is a system for highly automated processing of science data, scalable up to large processing systems and scalable down to small, special-purpose processing strings.
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