Search Results for "plotting csv data"
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Showing 16 open source projects for "plotting csv data"
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DB Browser for SQLite
The DB Browser for SQLite
...It is a tool to be used by both developers and end users, and must remain as simple to use as possible in order to achieve these goals. Import and export records as text, import and export tables from/to CSV files, import and export databases from/to SQL dump files, issue SQL queries and inspect the results, examine a log of all SQL commands issued by the application, plot simple graphs based on table or query data. -
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Matplot++
Matplot++: A C++ Graphics Library for Data Visualization
Data visualization can help programmers and scientists identify trends in their data and efficiently communicate these results with their peers. Modern C++ is being used for a variety of scientific applications, and this environment can benefit considerably from graphics libraries that attend the typical design goals toward scientific data visualization. -
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XLSX I/O
C library for reading/writing values from/to Excel .xlsx files.
...The .xlsx file format is the native format used by Microsoft(R) Excel(TM) since version 2007. The library was written with the following goals in mind: - primary focus on data values organized in tables, on not layout or graphics - written in standard C, but allows being used by C++ - simple interface - small footprint - portable across different platforms (Windows, *nix) - minimal dependancies: only depends on expat (only for reading) and libzip (which in turn depends on zlib) - separate library for reading and writing .xlsx files Also includes command line tools to convert between .xslx and CSV files. -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
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Abscom
A C11 library of reusable data structures and platform utilities.
...On top of that it ships a Python-inspired dynamic runtime that brings var values, lists, dictionaries, sets, JSON, random utilities, and a light object system to plain C, plus a scientific layer with matrices, statistics, general math (scalar utilities, number theory, geometry, complex numbers), CSV, path helpers, and basic threading. A data science layer adds NumPy-style reshaping and generators, Pandas-style numeric CSV, functional utils, and SciKit-Learn-style preprocessing (one-hot encoding, train/test split). An AI/ML layer adds activations, softmax, MSE loss, and numerical gradients for neural-network forward passes. An ultimate layer tops the scientific stack off with computational backend selection (CPU / AVX SIMD / GPU stub), a Micrograd-style scalar autograd engine. -
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Makani
Makani was developed a commercial-scale airborne wind turbine
Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. The software enables simulation, control, and analysis of the Makani... -
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. -
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,... -
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C++ Airline Travel Solution Provider
C++ Airline Travel Solution Provider
The name has changed: that project has become the Airline Travel Solution Provider, AirTSP for short. -
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Diffs, patches, and revision control for CSV files, spreadsheets, and databases.
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Microsoft Visual 6.0 C++ :New 4gl Windows API, Sql, Queries( Data Base : Excel,Access,Foxpro,Dbase,Text,csv),Ado, Sort, Reporting , Sms phone,Ftp server, mail/mapi,generate Pdf(acrobat) Text,office:Excel/Word, un/Compression(cabsdk),GIf anim,jpg,bmp...
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DIED PROJECT. The dataio is C++ i/o library that provides stream input/output as CSV with configurable column separator. Also support win ini like format and binary data. The author is planning to reimplement CVS/binary input/output into sscilib.
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IDIL is a cross-platform C++ library providing a simple interface for computing, data plotting and image analysis. The goal is to implement a set of C++ classes and functions which mimics the comprehensive syntax of languages like Scilab, Matlab or IDL.
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ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
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