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

CanvasJS vs Flow CSV Editor

OverviewComparisonAlternatives

Overview

CanvasJS
CanvasJS
Stacks24
Followers95
Votes20
Flow CSV Editor
Flow CSV Editor
Stacks2
Followers7
Votes0

Flow CSV Editor vs CanvasJS : What are the differences?

Flow CSV Editor: Graphical CSV file editor for timed data. 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; CanvasJS : High Performance Data Visualization Library. Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points!

Self-Hosted, Secure & Scalable charts that render across devices.

Flow CSV Editor and CanvasJS can be primarily classified as "Charting Libraries" tools.

Some of the features offered by Flow CSV Editor are:

  • Open any valid CSV file
  • Line plot display
  • Arrange line plots into cells

On the other hand, CanvasJS provides the following key features:

  • 30+ Chart Types
  • Renders across Devices & Platforms
  • Real-time Analytics

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Detailed Comparison

CanvasJS
CanvasJS
Flow CSV Editor
Flow CSV Editor

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

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.

30+ Chart Types; Renders across Devices & Platforms; Real-time Analytics; Themes; Interactivity; Zooming & Panning; Drilldown Chart; Ticks, Grids; Interlaced Colors; Synchronized Charts; Tooltip Syncing; Crosshair Syncing; Multiple Axes; Logarithmic Axes; Exporting as Image; Trend Lines; Numeric Axis; Date-Time Axis; Category Axis; Reversed Axis; Multiseries Chart; Dynamic Chart; Advanced Axis Labelling; Event Handlers;
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
Stacks
24
Stacks
2
Followers
95
Followers
7
Votes
20
Votes
0
Pros & Cons
Pros
  • 3
    30+ Chart Types
  • 1
    Works across Devices and Browsers
  • 1
    Well Documented
  • 1
    Simple API
  • 1
    Responsive Charts
Cons
  • 1
    It's not free
No community feedback yet
Integrations
Django
Django
Amazon RDS
Amazon RDS
Google Cloud SQL
Google Cloud SQL
Swift
Swift
Google Cloud Platform
Google Cloud Platform
Vue.js
Vue.js
MySQL
MySQL
C#
C#
ASP.NET
ASP.NET
Flutter
Flutter
No integrations available

What are some alternatives to CanvasJS , 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.

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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