Smartlook
Hotjar
Google Analytics
FullStory
Heap
Mixpanel
Crazy Egg
Mouseflow
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the โwhysโ behind usersโ actions โ why do users churn, or why arenโt they using a feature, or why are they skipping onboarding? Now you can eliminate the guesswork.
With a unique feature set, Smartlook gives you a way to finally understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, and heatmaps give you mass data about where most people click and scroll. Automatic event tracking lets you know how (and how often) your visitors do specific things, while conversion funnels take those events and show you how much success you're having with conversions.
Started in 2016, Smartlook has grown into a complete solution for qualitative analytics, making guesswork a thing of the past. Stop wondering why, and start getting answers today.
Smartlook
MatplotlibBased on our record, Matplotlib seems to be a lot more popular than Smartlook. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Smartlook. 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.
Check out - smartlook.com. Just started with it yesterday and so far so good. Source: about 3 years ago
In other words, the site should fail gracefully if smartlook.com or whatever is blocked. Source: almost 4 years ago
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 - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.
NumPy - NumPy is the fundamental package for scientific computing with Python
FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.