Chartist.js vs Flow CSV Editor

Overview

Chartist.js

Stacks21

Followers48

Votes10

GitHub Stars93

Forks21

Flow CSV Editor

Stacks2

Followers7

Votes0

Flow CSV Editor vs Chartist.js: What are the differences?

Developers describe Flow CSV Editor as "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. On the other hand, Chartist.js is detailed as "Simple responsive charts". It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.

Flow CSV Editor and Chartist.js 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, Chartist.js provides the following key features:

Simple handling while using convention over configuration
Fully responsive and DPI independent
Fully built and customizable with Sass

Chartist.js is an open source tool with 12.4K GitHub stars and 2.57K GitHub forks. Here's a link to Chartist.js's open source repository on GitHub.

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Detailed Comparison

Chartist.js	Flow CSV Editor
It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.	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.
Simple handling while using convention over configuration;Fully responsive and DPI independent;Fully built and customizable with Sass;Responsive configuration with media queries	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 93	GitHub Stars -
GitHub Forks 21	GitHub Forks -
Stacks 21	Stacks 2
Followers 48	Followers 7
Votes 10	Votes 0
Pros & Cons
Pros 5 Small size 4 SVG 1 Animations Cons 2 Weak documentation	No community feedback yet
Integrations
WordPress Sass JavaScript CSS 3 React JSF Firefox HTML5 Google Chrome	No integrations available

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