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What is SmoothCSV?

SmoothCSV is a highly adaptable CSV editing tool compatible with Windows, macOS, and Linux operating systems. It boasts a straightforward interface that presents files in a grid layout, enabling seamless modification of rows, columns, and individual cells, while also offering functionalities including search and replace, filtering, and sorting, along with options for file comparison. Users can easily define or adjust delimiters, quoting styles, text encoding, and line endings, which enhances the management of CSV data processing and storage. Furthermore, it features a built-in SQL console that permits users to run SELECT queries against their CSV files, complemented by tools for selection statistics, data aggregation, and text transformations that aid in comprehensive data examination and cleanup. Additionally, SmoothCSV allows for the import and export of Excel workbooks, provides the option to export to PDF, and includes command-line capabilities for those seeking advanced workflows. It serves developers, analysts, and anyone who regularly engages with tabular data. All functionalities are available at no cost, and optional one-time licenses for individuals and teams can be purchased to support ongoing development and remove reminder notifications. Moreover, SmoothCSV’s user-friendly design ensures that even those with limited experience in data editing can easily maneuver through its features, making it an excellent choice for a wide range of users. The combination of its powerful tools and accessibility positions SmoothCSV as a valuable resource for efficient data management.

What is Flow CSV Editor?

Flow CSV Editor is a lightweight tool specifically created for efficiently examining and altering time series data contained within CSV files on Windows operating systems. This application facilitates the rapid opening of any valid CSV files without the need for extra prompts or commands, allowing users to immediately engage in viewing, editing, and annotating their datasets. Data is displayed through interactive line plots, enabling users to easily zoom in, scroll through, and reorganize these visual representations even when handling large datasets. There is also a free alternative called Flow CSV Viewer, which does not include editing capabilities. Both Flow CSV Editor and Flow CSV Viewer function as native desktop applications that run directly on the user’s device. The software employs highly effective caching and indexing strategies to ensure that both viewing and editing actions are performed quickly, regardless of the size of the file being processed. After installation, users can quickly become productive due to the user-friendly design, which has been improved continuously through user feedback since its launch in 2019. This dedication to ongoing enhancement not only underscores the developers' commitment to refining the user experience but also reflects their responsiveness to the changing needs of their users. Moreover, the seamless integration of these features makes it an invaluable tool for data analysts and researchers alike.

Media

Media

Integrations Supported

Integrations Supported

Google Sheets
Microsoft Excel
Python

API Availability

API Availability

Pricing Information

$0
All features are free to use. Optional individual and team licenses are one-time purchases; team licenses are priced per seat. A paid license suppresses reminder notifications and adds no features.
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

SmoothCSV

Date Founded

2011

Company Website

smoothcsv.com

Company Facts

Organization Name

Waveworks

Date Founded

2013

Company Location

Denmark

Company Website

waveworks.dk/flow-csv/

Categories and Features

CSV Editors

Not specified

Categories and Features

CSV Editors

Not specified

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