Search Results for "csv data file read and write in c++"
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Showing 681 open source projects for "csv data file read and write in c++"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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csv-beans
Marshalling and unmarshalling data from CSV files
Rеad and write CSV files. Bind java classes via annotations or XML file. -
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MAT.jl
Julia module for reading MATLAB files
Julia module for reading MATLAB files. Read and write MATLAB files in Julia. This library can read MATLAB .mat files, both in the older v4/v5/v6/v7 format, as well as the newer v7.3 format. -
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JLD2
HDF5-compatible file format in pure Julia
...The save and load functions, provided by FileIO, provide a mechanism to read and write data from a JLD2 file. To use these functions, you may either write using FileIO or using JLD2. FileIO will determine the correct package automatically. -
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Lightweight ring buffer manager
Lightweight generic ring buffer manager library
The library provides generic FIFO ring buffer implementation. -
Cycloid is an engineering platform that improves the developer and end-user experienceEmpower end-users and improve operational efficiency with your own opinionated Engineering Platform.
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XLSX.jl
Excel file reader and writer for the Julia language
XLSX.jl is a Julia package to read and write Excel spreadsheet files. Internally, an Excel XLSX file is just a Zip file with a set of XML files inside. The formats for these XML files are described in the Standard ECMA-376. This package follows the EMCA-376 to parse and generate XLSX files. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. ... -
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Apache Avro
Apache Avro is a data serialization system
Apache Avro™ is a data serialization system. Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation is an optional optimization, is only worth implementing for statically typed languages. Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. -
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yyjson
The fastest JSON library in C
A high-performance JSON library written in ANSI C. -
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segyio
Fast Python library for SEGY files
Segyio is a small LGPL-licensed C library for easy interaction with SEG-Y and Seismic Unix formatted seismic data, with language bindings for Python and Matlab. Segyio is an attempt to create an easy-to-use, embeddable, community-oriented library for seismic applications. Features are added as they are needed; suggestions and contributions of all kinds are very welcome. -
Contract Management Software | ConcordConcord serves small and mid-sized businesses and Fortune 500 companies. This robust, web-based platform is used by human resource, sales, procurement, and legal teams, and virtually anyone who deals with contracts.
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Android File Transfer For Linux
Android File Transfer for Linux (and macOS!)
Android File Transfer for Linux — a reliable MTP client with a minimalistic UI similar to Android File Transfer. -
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cpp-ipc
C++ IPC Library: A high-performance inter-process communication
C++ IPC Library: A high-performance inter-process communication using shared memory on Linux/Windows. -
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A read-only JDBC driver for Java that uses Comma Separated Value (CSV) files as database tables. Ideal for writing data import programs and conversion programs.
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. -
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Excelize
Go language library for reading and writing Microsoft Excel
Excelize is a library written in pure Go providing a set of functions that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files. With Excelize chart generation and management is as easy as a few lines of code. You can build charts based off data in your worksheet or generate charts without any data in your worksheet at all. Excelize provided streaming API for generating or reading data from a worksheet with huge amounts of data. Simply runs Excelize on macOS, Linux and... -
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DwarFS
A fast high compression read-only file system for Linux, Windows
The Deduplicating Warp-speed Advanced Read-only File System. A fast high compression read-only file system for Linux and Windows. DwarFS is a read-only file system with a focus on achieving very high compression ratios in particular for very redundant data. This probably doesn't sound very exciting, because if it's redundant, it should compress well. However, I found that other read-only, compressed file systems don't do a very good job at making use of this redundancy. See here for a... -
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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come. -
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PlotJuggler
The Time Series Visualization Tool that you deserve
Fast, intuitive, and extensible time series visualization tool. Its Drag & Drop interface is designed to maximize both simplicity and speed. PlotJuggler is perfect for visualizing logs, offline and real-time data, and it can be used in multiple fields. PlotJuggler can be connected to an external application using any inter-process communication and display data in real time. Thanks to its plugin-based architecture, it is easy to add new data sources and functionalities. If needed, you can... -
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LiteDB
An open source MongoDB-like database with zero configuration
LiteDB is a serverless database delivered in a single small DLL (< 450kb) fully written in .NET C# managed code (compatible with .NET 4.5 and NETStandard 2.0). Install it via NuGet or just copy the DLL to your bin project folder. LiteDB is a simple and fast NoSQL database solution. Ideal for mobile apps (Xamarin ready), desktop/local applications, application file format, web applications, and one database per account/user data store. Portable UWP and Xamarin iOS/Android, ACID transactions,... -
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive... -
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CSV Quick Viewer
CSV Quick Viewer
Windows file viewer for delimited text files, such as CSV or tab-delimited files. No configuration is required—simply open any delimited text file and view the data in a clean, tabular format. For files with unusual formatting, optional settings allow quick adjustments to ensure proper display. -
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asar
Simple extensive tar-like archive format with indexing
Asar is a simple extensive archive format, it works like tar that concatenates all files together without compression while having random access support. You can pass in a transform option, which is a function, that either returns nothing or a stream. Transform. The latter will be used on files that will be in the .asar file to transform them. There is also an unofficial grunt plugin to generate asar archives at bwin/grunt-asar. Asar uses Pickle to safely serialize binary value to file,... -
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JsonDB
A simple "database" that use JSON file for Node.JS.
JsonDB is now using the concept of async/await for all its calls since we read from the database file on demand and depending on how the database is configured, we might write at each push. The module stores the data using JavaScript Object directly into a JSON file. You can easily traverse the data to directly reach the desired property using the DataPath. The principle of DataPath is the same as XMLPath. -
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YamlDotNet
YamlDotNet is a .NET library for YAML
YamlDotNet provides low-level parsing and emitting of YAML as well as a high-level object model similar to XmlDocument. A serialization library is also included that allows to read and write objects from and to YAML streams. YAML, which stands for "YAML Ain't Markup Language", is described as "a human-friendly data serialization standard for all programming languages". Like XML, it allows to represent of any kind of data in a portable, platform-independent format. Unlike XML, it is "human... -
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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
An ultra fast(0.0002s read/write), small & encrypted mobile key-value storage framework for React Native written in C++ using JSI. This library aims to provide a fast & reliable solution for you data storage needs in react-native apps. It uses MMKV by Tencent under the hood on Android and iOS both that is used by their WeChat app(more than 1 Billion users). -
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Ludwig
A codeless platform to train and test deep learning models
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict on new data.
