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  1. Stackups
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  4. Charting Libraries
  5. Flow CSV Editor vs Recharts

Flow CSV Editor vs Recharts

OverviewComparisonAlternatives

Overview

Recharts
Recharts
Stacks232
Followers258
Votes36
GitHub Stars26.2K
Forks1.8K
Flow CSV Editor
Flow CSV Editor
Stacks2
Followers7
Votes0

Flow CSV Editor vs Recharts: What are the differences?

  1. User Interface: Flow CSV Editor has a user-friendly interface with drag-and-drop functionality, while Recharts offers a more customizable and interactive interface for data visualization.
  2. Data Visualization Options: Flow CSV Editor focuses on creating visualizations from CSV files, whereas Recharts offers a wide range of data visualization options such as line charts, bar charts, and pie charts.
  3. Customization Capabilities: Flow CSV Editor provides basic customization options for visualizations, while Recharts allows for extensive customization including color schemes, animation effects, and data labels.
  4. Compatibility: Flow CSV Editor is specifically designed for working with CSV files, while Recharts is a versatile library that can be used with various data formats and sources.
  5. Learning Curve: Flow CSV Editor is intuitive and straightforward, ideal for beginners, while Recharts may require more advanced knowledge and experience in data visualization.
  6. Community and Support: Flow CSV Editor may have a smaller community and support system compared to Recharts, which is a widely used and supported data visualization library.

In Summary, Flow CSV Editor and Recharts offer different levels of customization, user interface designs, and compatibility for data visualization tasks.

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Detailed Comparison

Recharts
Recharts
Flow CSV Editor
Flow CSV Editor

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

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.

-
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
26.2K
GitHub Stars
-
GitHub Forks
1.8K
GitHub Forks
-
Stacks
232
Stacks
2
Followers
258
Followers
7
Votes
36
Votes
0
Pros & Cons
Pros
  • 11
    Very intuitive API
  • 8
    Built for React, from scratch
  • 7
    Responsive
  • 5
    Composable chart elements
  • 3
    Easy to use
Cons
  • 2
    Not considered time series charts
No community feedback yet
Integrations
React
React
D3.js
D3.js
No integrations available

What are some alternatives to Recharts, 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.

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.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

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