Need advice about which tool to choose?Ask the StackShare community!

Chartify

0
4
+ 1
0
Flow CSV Editor

2
7
+ 1
0
Add tool

Flow CSV Editor vs Chartify: 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; Chartify: A React.js plugin for building customizable charts. Build charts with CSS in React.

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

Chartify is an open source tool with 670 GitHub stars and 24 GitHub forks. Here's a link to Chartify's open source repository on GitHub.

Manage your open source components, licenses, and vulnerabilities
Learn More
No Stats

What is Chartify?

Build charts with CSS in React

What is Flow CSV Editor?

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.

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Chartify?
What tools integrate with Flow CSV Editor?
    No integrations found
    What are some alternatives to Chartify and Flow CSV Editor?
    Matplotlib
    It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
    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.
    jQuery
    jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
    React
    Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
    AngularJS
    AngularJS lets you write client-side web applications as if you had a smarter browser. It lets you use good old HTML (or HAML, Jade and friends!) as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly. It automatically synchronizes data from your UI (view) with your JavaScript objects (model) through 2-way data binding.
    See all alternatives