Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Hotjar
Smartlook
Google Analytics
FullStory
Crazy Egg
Mixpanel
Mouseflow
Lucky Orange
Hotjar's product experience insights make it easy to understand what users are really doing on your site.
Visualize behavior on your site with Heatmaps
Eliminate guesswork with user Recordings
Understand the reasons behind behavior with Surveys and Incoming Feedback
Matplotlib HotjarHotjar is recommended for small to medium-sized businesses, eCommerce sites, and startups looking to improve their website's user experience. It is also suitable for UX/UI designers and product managers who want detailed analytics without the complexity of larger enterprise-level tools. However, larger organizations may want to consider more robust analytics platforms that can handle and analyze larger volumes of data.
I've been using Hotjar for a few months, and it's been a perfect tool for understanding how users interact with my website. The heatmaps and session recordings are especially helpful for identifying problem areas, and the feedback polls give me direct insights from visitors. The platform is easy to navigate, but Iโve noticed the session recordings can be a bit glitchy at times, and the free version is quite limited. Despite these small issues, Hotjar has definitely helped me improve user experience and optimize my siteโs performance.
Hotjar has been our go-to for optimizing UI, reducing bounce rates, and refining CTAs. Its powerful insights have been instrumental in enhancing user experience. A staple tool for data-driven decisions!
I don't like the service. It is very slow and very expensive. Not recommended it to others.
Based on our record, Matplotlib should be more popular than Hotjar. It has been mentiond 114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Hotjar Hotjar.com Heatmaps, session recordings, and feedback polls (free basic plan). - Source: dev.to / over 1 year ago
Hotjar โ Website Analytics and Reports . Free Plan allows 2000 pageviews/day. One hundred snapshots/day (max capacity: 300). Three snapshot heatmaps can be stored for 365 days. Unlimited Team Members. - Source: dev.to / over 2 years ago
So you can use heatmapping software such as Crazy Egg and Hotjar to see how your end users use your website. Source: over 2 years ago
If you have installed a heat map like hotjar.com then I will tell you that I used that for a month and found 5 or so dead ends where users were not getting to the cart or clicking on things that where not informative enough to lead to the next action. Source: about 3 years ago
Install hotjar.com - it's free. It's a heatmap that tracks how people navigate around your site. Why this matters? You can see where people drop off on your site (specifically, what content they see/don't see). Then, you can make informed decisions on what content is landing and what needs to change. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Smartlook - Qualitative analytics for websites and mobile apps Start understanding the 'whys' of your users' behaviors with clear, visual insights. With session recordings and event tracking, you get the complete picture.
NumPy - NumPy is the fundamental package for scientific computing with Python
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.
