Highcharts vs Pandas: What are the differences?
What is Pandas? High-performance, easy-to-use data structures and data analysis tools for the Python programming language. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Highcharts and Pandas are primarily classified as "Charting Libraries" and "Data Science" tools respectively.
Some of the features offered by Highcharts are:
- 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
On the other hand, Pandas provides the following key features:
- Easy handling of missing data (represented as NaN) in floating point as well as non-floating point data
- Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
- Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let Series, DataFrame, etc. automatically align the data for you in computations
"Low learning curve and powerful" is the primary reason why developers consider Highcharts over the competitors, whereas "Easy data frame management" was stated as the key factor in picking Pandas.
Highcharts and Pandas are both open source tools. It seems that Pandas with 20.2K GitHub stars and 8K forks on GitHub has more adoption than Highcharts with 8.79K GitHub stars and 2.32K GitHub forks.
Webedia, WebbyLab, and Zumba are some of the popular companies that use Highcharts, whereas Pandas is used by Instacart, Twilio SendGrid, and Sighten. Highcharts has a broader approval, being mentioned in 212 company stacks & 40 developers stacks; compared to Pandas, which is listed in 73 company stacks and 49 developer stacks.
What is Highcharts?
What is Pandas?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose Highcharts?
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Highcharts?
What are the cons of using Pandas?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
Jupyter Anaconda Pandas IPython
A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.
The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead
used highcharts for my charting needs on and off for various clients through out the years. just it recently on a project.
Translating saved user data that's returned from the database into useful, visually appealing user feedback.
Highcharts provided the best tradeoff between customization and pre-built chart coverage