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ConvertKit VS NumPy

Compare ConvertKit VS NumPy and see what are their differences

Warmup Inbox
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ConvertKit logo ConvertKit

Email marketing software for online creators. We help you earn a living online through an intuitive email marketing automation tool.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • ConvertKit Landing page
    Landing page //
    2023-08-05
  • NumPy Landing page
    Landing page //
    2023-05-13

ConvertKit features and specs

  • Ease of Use
    ConvertKit offers a user-friendly interface that is straightforward to navigate, making it easy for beginners to set up and use.
  • Automation
    The platform provides robust automation features, allowing users to set up complex email funnels and sequences efficiently.
  • Landing Pages
    ConvertKit includes built-in landing page templates that allow users to quickly create high-converting landing pages.
  • Segmentation
    Users can easily segment their audience based on various factors to send more targeted and personalized emails.
  • Integrations
    ConvertKit integrates with numerous third-party applications and services, facilitating seamless workflow and data synchronization.
  • Support
    Offers excellent customer support, including live chat and email support, as well as a rich knowledge base and community.
  • Affiliate Program
    Provides a lucrative affiliate program that allows users to earn commissions by promoting ConvertKit.

Possible disadvantages of ConvertKit

  • Pricing
    ConvertKit is relatively more expensive compared to some other email marketing platforms, which may be a deterrent for small businesses and startups.
  • Limited Design Flexibility
    Although the templates are clean and functional, ConvertKit lacks the advanced design customization options available in some other platforms.
  • Basic Email Templates
    The email templates are relatively basic and limited in variety, which may not suit users looking for elaborate design options.
  • No Free Plan
    ConvertKit does not offer a free plan beyond the initial trial period, which can be a limitation for users not ready to commit financially.
  • Learning Curve for Advanced Features
    While basic functionalities are easy to use, there may be a learning curve for some of the more advanced features and automations.

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.

ConvertKit videos

+ Add

ConvertKit Review - Don't Buy Until You See This! (Top 5 Reasons NOT to use ConvertKit)

More videos:

  • Review - Convertkit Review - Why It's the Best Email Marketing Platform for Bloggers!
  • Review - Convertkit Review- Email Marketing Autoresponder Overview

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 ConvertKit and NumPy)

ConvertKit

NumPy

Email Marketing
100 100%
Email Marketing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Email Marketing Platforms
100 100%
Email Marketing Platforms
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 ConvertKit and NumPy

ConvertKit Reviews

10 Best Campaign Monitor Alternatives You Can Find
If you are a content creator or active in such activities, then ConvertKit can be an effective Campaign Monitor alternative for you. You can also review some of the finest ConvertKit alternatives.
Source: mailbluster.com
Comparing 16 Campaign Monitor Alternatives: In-depth Analysis
Migrating from other ESPs to ConvertKit is free. Over 500K creators use ConvertKit. It is loved particularly for its intuitive interface and excellent list management feature.
Source: www.engagebay.com
The 6 Best Campaign Monitor Alternatives for 2024
CategoryConvertKitCampaign MonitorBest FeatureAdvanced email template customizationUser-friendly interfacePros1. Flexible design and customization2. Intuitive drag-and-drop editor3. Seamless integration with other tools1. Easy-to-use email editor2. Beautiful customizable templates3. In-depth reporting and analyticsCons1. Limited advanced automation capabilities2. Higher...
Source: www.activecampaign.com
The 10 best landing page builders + the top features you should always look for!
ConvertKit landing pages were designed by world-class pros to be fully customizable and give you the quick data to improve your conversion rates and grow your business.
Source: convertkit.com
12 Top Campaign Monitor Alternatives & Competitors
Summary: ConvertKit is unique in that it is built very intentionally with bloggers and other online storytellers in mind, featuring easy to build visual automations and smart segementations. It’s a bit pricey for what it offers, but if you are an author, blogger, newsletter creator or brand marketer, it fits like a glove.
Source: thedigitalmerchant.com

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 should be more popular than ConvertKit. It has been mentiond 119 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.

ConvertKit mentions (21)

  • Adding Multiple Authors to my Astro Writing Blog: A Technical Walkthrough
    At the end of last year, my brothers and I wrote our first novel together (The Battle for Christmas: Reign of the Nutcrackers). That experience inspired us to continue writing together, starting with a monthly newsletter with short stories. At this point, we decided we wanted a website. We had been using Kit to send emails, and we liked that functionality, but as our writing resumes grow, we also wanted to have a... - Source: dev.to / about 2 months ago
  • Low/no code signup/demo page for startup?
    I’ve used https://convertkit.com/ for this in the past. - Source: Hacker News / over 1 year ago
  • Minimalist email subscription/newsletter for website?
    ConvertKit is my go to and still is for now. Source: almost 2 years ago
  • From Pizza Hut to YouTube - Embracing Life's Adventures
    One lazy Saturday afternoon, a sudden epiphany struck me like lightning. I decided to seize every moment and pursue my bucket list dreams while capturing them on YouTube. My aim is to inspire others to cherish their time and embrace life's adventures with a newfound zeal. I want you to do the things on your bucket list. When I was sick and thought I was dying. The one thing that ruminated in my head was "I just... Source: almost 2 years ago
  • Revue Alternative For Your Personal Blog
    After trying Substck、ConvertKit、mailerlite and MailChimp, MailChimp won for me because:. - Source: dev.to / over 2 years ago
View more

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 ConvertKit and NumPy, you can also consider the following products

MailChimp - MailChimp is the best way to design, send, and share email newsletters.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

ActiveCampaign - Integrated email marketing, marketing automation, and small business CRM. Send beautiful newsletters, setup behavioral based automations, and benefit from sales automation.

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

Brevo - Innovative online Email Marketing solution to manage your contacts, create & send your newsletters and track your results. More than 80 000 clients. Best prices and attractive features.

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

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