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Smartlook VS NumPy

Compare Smartlook VS NumPy and see what are their differences

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Smartlook logo 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 logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Smartlook Landing page
    Landing page //
    2023-08-22

Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the “whys” behind users’ actions — why do users churn, or why aren’t 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.

  • NumPy Landing page
    Landing page //
    2023-05-13

Smartlook features and specs

  • Comprehensive Analytics
    Smartlook provides detailed insights through session recordings, heatmaps, and event tracking, which helps businesses understand user behavior deeply.
  • User-Friendly Interface
    The platform is easy to navigate, making it accessible for users who may not be experienced with analytics tools.
  • Real-Time Data
    Smartlook offers real-time data monitoring, which allows businesses to promptly identify and address issues as they occur.
  • Cross-Platform Support
    The tool supports web, iOS, and Android platforms, enabling businesses to track user behavior across different devices seamlessly.
  • Advanced Filtering
    Users can apply advanced filters to their data, which helps in segmenting users and understanding specific behaviors more accurately.
  • Integrations
    Smartlook integrates with various third-party tools like Google Analytics, Slack, and others, providing a more versatile analytical environment.

Possible disadvantages of Smartlook

  • Data Privacy Concerns
    Recording user sessions could potentially raise privacy issues if not managed correctly, requiring strict adherence to data protection regulations.
  • Learning Curve
    Even with a user-friendly interface, new users might still encounter a learning curve when trying to utilize all features effectively.
  • Cost
    While offering a free tier, the costs can add up for premium features or advanced usage, which might be a constraint for smaller businesses.
  • Performance Impact
    The presence of session recording scripts can sometimes slow down website performance, affecting the user experience negatively.
  • Limited Free Plan
    The free plan comes with limitations in terms of data retention and the number of sessions that can be recorded, which might not be sufficient for larger businesses or detailed analysis.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Smartlook videos

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Smartlook - Get an insider look

More videos:

  • Review - Join the TurboTax SmartLook Team
  • Review - With TurboTax SmartLook, You're Never Alone

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Smartlook and NumPy)

Smartlook

NumPy

Web Analytics
100 100%
Web Analytics
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Analytics
100 100%
Analytics
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Smartlook and NumPy

Smartlook Reviews

10 Best Mixpanel Alternatives for Product Analytics in 2024
Smartlook is an advanced analytics tool that provides real-time insights into user behaviors and experiences. Understand how users engage with your products, and identify areas for improvement in your customer experience.
Source: clickup.com
11 Hotjar alternatives and competitors in 2024
Another key consideration is that Smartlook provides most of its features on the Pro plan, whereas Hotjar limits features by plan. For example, trend analysis is only available in the Scale plan—which starts at $171 per month. When using Smartlook, this functionality is available in all plans.
Source: maze.co
12 Hotjar alternatives for website and mobile app analytics
is the product manager at Smartlook. Martin is enthusiastic about delivering the best possible customer experience. Prior to joining Smartlook as a product manager, he used to work as a consultant for Oracle NetSuite. Martin has a deep professional interest in biometric signing and work digitalization. He is also an NFL enthusiast and likes to enjoy good food (ideally while...
Source: www.smartlook.com
10 Best Hotjar Alternatives & Competitors in 2023
The second Hotjar alternative on our list is Smartlook. As a marketing analytics tool, Smartlook seems to provide its users with session recordings of visitors and allows them to create heatmaps and add events to funnels.
Source: www.socialpros.co
Top 10 CRO Tools to Boost Conversions for Free in 2023
Smartlook is one of the conversion optimization tools that claim to increase traffic rate, and, eventually, your web conversions. It offers key features like event tracking, session replays, heatmaps, and funnels.
Source: aigrow.me

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Smartlook. While we know about 119 links to NumPy, 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.

Smartlook mentions (2)

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Smartlook and NumPy, you can also consider the following products

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.

OpenCV - OpenCV is the world's biggest computer vision library

FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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