Search Results for "large csv"
Sort By:
Showing 18 open source projects for "large csv"
View related business solutions-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
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.
-
1
League CSV
CSV data manipulation made easy in PHP
The PHP League CSV is a PHP library for reading, writing, and manipulating CSV files. It offers a straightforward API for handling common CSV operations, including parsing data, writing rows, and formatting output. The library is designed to handle large datasets efficiently, making it a reliable choice for data processing tasks in web applications. -
2
Fast CSV
CSV parser and formatter for node
A high-performance Node.js library for parsing and formatting CSV data efficiently. -
3
Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. -
4
QSV
Blazing-fast Data-Wrangling toolkit
qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
Readr
Read flat files (csv, tsv, fwf) into R
readr is an R package that provides a fast and friendly way to read rectangular data, such as CSV and TSV files. Part of the Tidyverse, it simplifies data import and parsing tasks in R. -
6
CSV Quick Viewer
CSV Quick Viewer
...CSVQuickViewer runs without administrative rights, provides column insights, and allows exporting filtered data, offering a fast, reliable, and local solution for inspecting structured text data. Ideal for analysts, developers, and support teams working with large or messy data files. -
7
Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the... -
8
JSON Crack
Innovative and open-source visualization application
JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data. -
9
CSVFileView
Tab-delimited file viewer and converter for Windows
...CSVFileView supports operations like removing unwanted fields, customizing display icons, and handling large files with ease, though it may struggle with extremely large CSVs. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
xsd2pgschema
Relational database replication tool based on XML Schema
Large XML file can be split through xmlsplitter, a flexible XML splitter based on XPath and StAX. -
11
CSV to JSON
Blazing fast and Comprehensive CSV Parser for Node.JS
A Node.js library that converts CSV files into JSON format efficiently, supporting large files and advanced parsing. -
12
Papa Parse
CSV parser that handles large files and malformed input
The world's first multi-threaded CSV parser for the browser. Use Papa when performance, privacy, and correctness matter to you. Papa alleviates privacy concerns related to uploading files. Malformed CSV is handled gracefully with a detailed error report. Now the fastest JavaScript CSV parser for the browser. Papa can handle files gigabytes in size without crashing. CSV to JSON and JSON to CSV. Auto-detect delimiter, open local files, download remote files, stream local and remote files,... -
13
Free VCF file to CSV or Excel converter
Excel VBA Script to convert VCF file with multiple entries to CSV file
This is an Excel based VBA script used to import bulk .VCF files that contain more than 1 Vcard and then convert them to a comma separated .CSV file or Excel xls file that can then be imported into Outlook, Google, or any other application that supports import of contacts using CSV files. This has been written to support VCF 2.0, 2.1, 3.0 and 4.0 formatted files including those with printable encoding (MIME) and has been tested with bulk VCF files from Backupify, Google Contacts (Gmail... -
14
vscode-data-preview
Extension for importing, viewing, slicing, dicing, and charting JSON
Data Preview extension for importing, viewing, slicing, dicing, charting & exporting large .json array .arrow .avro .parquet data files, .config .env .properties .ini .yml configurations files, .csv/.tsv & .xlsx/.xlsb Excel files and .md markdown tables with Perspective - streaming data analytics WebAssembly library. -
15
FREE CSV & Text (TXT) File Splitter
Ability to work with large csv files and cut them down to run in Excel
This CSV and TXT file splitter firstly allows you to work with large data files. We have tested this on the largest CSV file we could find. It had over 25.6 Million rows. Microsoft Excel can only load 1 Million rows. So the challenege was on! Splitting a file in this case by 990,000 rows made sure that it was more than capable to load into excel. -
16
jdbc2csv.jar
Command-line sql JDBC tool
jdbc2csv is a small command-line tool written in JAVA and can be used on all platforms, for which JRE 8 or higher is available. To connect to a specific DBMS the tool uses its JDBC driver. The result of the executed 'select' query is displayed in CSV format ( different standards are supported ). When there is an error the tool stops with exit code 1 and the error message is output on stderr. jdbc2csv is created with a main purpose to be used in shell-scripts. Relatively easy to configurate, this tool is suitable for queries ‘select’, ‘update’ and ‘delete’. I think that is not suitable for a large number of requests, like 'insert'. -
17
CSharp MARC
Full featured editor for reading and manipulating MARC Records
*** THIS PROJECT HAS MOVED TO GITHUB *** https://github.com/frozen-solid/CSharp_MARC/ ********************************************************** C# MARC: C# class structures for reading and manipulating Library of Congress MARC records using the MARC21 standard. Based upon the PHP Pear package File_MARC (http://pear.php.net/package/File_MARC) by Dan Scott. C# MARC Editor: A full featured SQLite based editor for quickly modifying MARC records and exporting them to MARC21 or MARCXML. -
18
Database to CSV
"Database to CSV" project stores/loads data between database and CSVs
"Database to CSV" allows to back-up data from database(Oracle, MySQL, SQL Server) in the form of CSV files. Each table data is stored in a separate CSV file. It also allows to load data from CSV files into the database. Program can be run from UI or from command line. There's one more advanced feature which allows merging of data from CSV file to Database. It is only available from command line. (It will take foreign keys and unique keys into consideration and then try to insert...
- Previous
- You're on page 1
- Next
