I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.
Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)
If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.
A jupyter notebook is a great place to start developing your code and may be all that you need.
I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use
I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data,
Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.
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.
c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.
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.
It works in all modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6;Free for non-commercial;One of the key features of Highcharts is that under any of the licenses, free or not, you are allowed to download the source code and make your own edits;Pure Javascript - Highcharts is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.
Comfortable - C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more.;Customizable - C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3.;Controllable - C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even if after it's rendered.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
17.9K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
1.9K
Stacks
1.5K
Stacks
398
Stacks
399
Followers
1.1K
Followers
163
Followers
694
Votes
92
Votes
4
Votes
69
Pros & Cons
Pros
34
Low learning curve and powerful
17
Multiple chart types such as pie, bar, line and others
13
Responsive charts
9
Handles everything you throw at it
8
Extremely easy-to-parse documentation
Cons
9
Expensive
Pros
2
Easy to use
2
Reusable charts
Cons
1
Dependent on D3.js which is not lightweight
Pros
16
Bindings to popular languages like Python, Node, R, etc
10
Integrated zoom and filter-out tools in charts and maps
