Chartist Js Reviews

Chartist Js is incredibly easy to use and allows for customization based on our needs. It has fully responsive configuration with media quries. Being open-source, it also has excellent documentation that includes almost all examples. Depending on how our project is set up, we can choose the ideal method for integrating the Chartist Library.

In Chartist Js CSS3 animations on SVG CSS attributes are not supported on all browsers and the appearance may vary on the different browsers.

It was easier to prepare the charts by applying the vast volumes of data. Chartist Js was very simple to use and automatically transformed the UI by its impressive styles. My time commitment was minimized and my Client was pleased to see the responsive charts when I took daily reports.

The code involved for making a nice looking graph or chart is ridiculously easy task. If you have ever used chart.js it will look very familiar and be easier to use actually. Moreover, the documentation they have online is quite substantial as it provides an example of almost everything you can encounter or do with the tool.

Mixing in CSS with the javascript is kind of confusing. For someone who isn't too adept in html or css (but familiar), there is definitely a strange learning curve to it if you're creating websites that are responsive and reactive.

If you have tried other charting libraries in js then you should definitely give this a try if you've had any trouble with those

Data visualization is key and it seems to be quite effective. It is also quite versatile as the browsers supported and platforms it works on is vast.

Chartist JS is a simple, flexible way to visualize so many types of data. From your standard line charts, donut charts, and bar charts to animated and responsive charts that are highly customizable to meet your needs. It's lightweight with minimal dependencies which makes it easy to port into whatever application you need it for.

ChartistJS works in modern browsers. This is great, however I have run into situations where my clients (for whatever reason) are still using old versions. This makes ChartistJS either impossible to use, or impossible to use the full set of features.

We have various types of data we need to display in an eye-catching easy to understand way. The client has specific ideas based on previous implementations of the product on how things should be displayed, but we wanted something more modern. ChartistJS has been useful for the constant refreshing that our dashboard needs to do since it shows the latest data.

The library is very light, just 10Kb to be embedded in your webpage and very easy to setup. It doesn't have any other dependencies which makes it extremely configurable and easy to use. its open source and documentation is very readable and clear for anyone to start customising it. On top of it, it makes use of SVG , making the charts objects as handy as DOM objects . You can style it in your manner using the DOM hooks.It provides the basic charts - line, bar, pie with at-most animations, labels and colours . The grid option is the best, it gives your graphs the rich UI experience. These are more than enough if you want to build a dashboard giving simple statistics around your data. Because of its rich responsive support for multiple screen sizes, you don't need to think about how the chart will look on small screens. It just works seamlessly across any devices you can think of . Making your focus only towards the data that you want to show on the graph and its processing.

The library just provides basic 3 chart types - bar, line , pie - These may not suffice if you want to show advance statistics or visualisations on your data. For example, if you want to show the network topology , you might need to look for library like D3.js or any other. Also, the tooltips, point labels, zoom , pan, axis title options are missing from the basic library options. If you want these , you need to install plugins separately which is kind of irritating. The charts are static in nature, you don't have any events mechanism if you click on any part of chart, you need to handle it on your own for now. The charts crash when large amount of data is thrown on them, the library is not designed to handle voluminous data. The charts work only on the modern Browsers like Chrome, Firefox and IE . The older versions are not supported by the library for now. So if you customers make use of old browsers, you cannot use Chartist.js.

If you want to build out statistics which are simple like comparison between two entities - use bar graphs or line graphs, or distribution of a value across multiple entities - pie charts, and you want to develop them fast without getting an headache on how to integrate, style - CSS , or animations - then Chartist.js is the right choice for you. Its very easy and light to use. Will give you the styling by default and you are all started. However, if your statistics needs are advanced - say you want to build graphs or you are looking out for full control over your chart including panning, zooming, tooltips, labels , event mechanism on clicks, etc, then Chartist.js will fail to meet your needs. You should look for an alternative like D3.js or plotly.js. They provide wide and diverse variety of charts, and are more feature rich.

i used Chartist.js in one of my projects in which I had to prepare a dashboard for User Statistics across different regions and how long they were surfing our website. I didn't know about charts, how they had to be coded and styled. Chartist.js came to my rescue and I was able to create the dummy dashboard within 2 days to show to my seniors. It not only helped me to draw stunning stats, but was extremely easy to use, and work with by reading its documentation. The charts were automatically styled by the library and I didn't have to work much on the Ui for it. I just focussed my attention towards fetching the data for the charts. Later on, I just had to prepare a global styling which had to be fed to the library and all the charts started following the colour scheme. Describe your data - Simple Colorful Stats Using Chartist.