StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Flow CSV Editor vs Rough Charts

Flow CSV Editor vs Rough Charts

OverviewComparisonAlternatives

Overview

Rough Charts
Rough Charts
Stacks1
Followers5
Votes0
GitHub Stars1.5K
Forks57
Flow CSV Editor
Flow CSV Editor
Stacks2
Followers7
Votes0

Flow CSV Editor vs Rough Charts: What are the differences?

## Introduction

Key differences between Flow CSV Editor and Rough Charts are outlined below:

1. **User Interface**: Flow CSV Editor provides a simple and user-friendly interface designed for managing and editing CSV files, while Rough Charts focuses on creating rough, hand-drawn style charts for visual data representation.
2. **Functionality**: Flow CSV Editor offers features specifically tailored for CSV file editing such as advanced find and replace, column reordering, and CSV format validation, whereas Rough Charts focuses on generating unique hand-drawn charts for data visualization.
3. **Output**: Flow CSV Editor saves edited files in CSV format with all changes intact, while Rough Charts exports charts in PNG format with the rough hand-drawn aesthetics.
4. **Customization Options**: Flow CSV Editor allows users to customize the appearance and behavior of the CSV editor to suit their workflow, while Rough Charts offers limited customization options due to its focus on hand-drawn charts.
5. **Data Visualization**: Flow CSV Editor does not include data visualization capabilities but focuses on data management, in contrast, Rough Charts is specifically designed for creating visually appealing hand-drawn charts for data representation.
6. **Target Audience**: Flow CSV Editor targets users who deal with CSV files and require advanced editing functionalities, whereas Rough Charts is ideal for users who want to create unique hand-drawn charts for creative presentations.

In Summary, Flow CSV Editor is tailored for CSV file management with advanced editing features, while Rough Charts focuses on creating hand-drawn charts for visual data representation.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Rough Charts
Rough Charts
Flow CSV Editor
Flow CSV Editor

It is a responsive, composable react charting library with a hand-drawn style. It's flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.

It is a light-weight tool for viewing and editing CSV files locally on your Windows computer. It's primarily designed for timed data such as sensor data and measurement logs, but it can be used with any valid CSV file. The data is presented as line plots rather than in a grid, and zooming, scrolling and rearranging the plots is fast and efficient, also on large data sets.

It's responsive; It's flexible and easy to compose
Open any valid CSV file;Line plot display;Arrange line plots into cells;Print plots and copy plot as image;Simple text search;Advanced boolean expression search;Formula engine based on Python syntax;Edit values;Cut, copy and paste samples or data;Remove, reorder and rename variables;Redefine variables with Python expressions;Sort samples;Unlimited undo and redo
Statistics
GitHub Stars
1.5K
GitHub Stars
-
GitHub Forks
57
GitHub Forks
-
Stacks
1
Stacks
2
Followers
5
Followers
7
Votes
0
Votes
0
Integrations
React
React
No integrations available

What are some alternatives to Rough Charts, Flow CSV Editor?

D3.js

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase