Software Alternatives, Accelerators & Startups

MailChimp VS NumPy

Compare MailChimp VS NumPy and see what are their differences

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MailChimp logo MailChimp

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

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • MailChimp Landing page
    Landing page //
    2023-10-10
  • NumPy Landing page
    Landing page //
    2023-05-13

MailChimp features and specs

  • Ease of Use
    MailChimp offers an intuitive, user-friendly interface that makes it easy for users to design emails, manage campaigns, and track results.
  • Automation Features
    MailChimp provides robust automation tools that allow users to automate email sequences, send targeted messages, and create automated workflows.
  • Comprehensive Reporting
    The platform offers detailed analytics and reporting tools, giving users insight into campaign performance, open rates, clicks, and more.
  • Integrations
    MailChimp integrates with numerous third-party services and platforms including e-commerce sites, social media platforms, and CRM systems.
  • Freemium Plan
    MailChimp offers a free plan that gives access to essential features, making it a viable option for small businesses and startups.
  • Design Templates
    A wide variety of pre-designed templates are available, making it easier to create professional-looking emails without design expertise.
  • Product Recommendations
    Drive more sales with personalized product recommendations

Possible disadvantages of MailChimp

  • Cost
    As your subscriber list grows, MailChimp's pricing can become quite expensive compared to some other email marketing services.
  • Limited Automation in Free Plan
    The free plan offers limited automation features, which can restrict the ability to implement more comprehensive automated email campaigns.
  • Complexity for Advanced Users
    While it's user-friendly for beginners, advanced users may find that it's not as flexible or customizable as other platforms.
  • Support Limitations
    Customer support for the free plan is limited to email and self-help resources, which may not be sufficient for users needing immediate assistance.
  • Deliverability Issues
    Some users have reported issues with email deliverability, which can impact the effectiveness of their email marketing campaigns.
  • List Management
    Managing large contact lists can be cumbersome, and there have been complaints about the efficiency of list segmentation and organization.

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.

MailChimp videos

Mailchimp Automation Sequence For Beginners (2024) Complete Mailchimp Guide

More videos:

  • Review - WARNING! MailChimp Review: Marketers & Entrepreneurs Stayaway! (Why I left MailChimp)
  • Demo - MailChimp Review & Demo - Top 5 Reasons MailChimp Rocks For Newsletters
  • Review - Mailchimp Review: Pros and Cons

NumPy videos

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 MailChimp and NumPy)
Email Marketing
100 100%
0% 0
Data Science And Machine Learning
Email Marketing Platforms
Data Science Tools
0 0%
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 MailChimp and NumPy

MailChimp Reviews

  1. Harshi1995
    · intern at ulketz ·
    A great platform for email marketing.

    It is most affordable marketing automation tool . It helps in all in one marketing platform that helps you manage and talk to your clients , customers and others.

    🏁 Competitors: zeta marketing platform, Salesforce Marketing Cloud
  2. Elle Bennett
    · Webmaster at FixedFeeTaxReturn ·
    Good tool for basic email newsletters

    Mailchimp has always been a good solution for sending campaign emails for e-commerce.

  3. Mohit Gupta
    · Small Business Owner at Ecommerce Platform ·
    Mailchimp - Nice Experience with email marketing campaign to use on it.

    This Mailchimp is a very nice email marketing platform to use it. I like its features and all functions for creating emails. It is the best tool to make design, send and share email newsletters.

    🏁 Competitors: Brevo, ActiveCampaign, SendGrid, MailerLite
    👍 Pros:    One of the best thing about mailchimp is, you can use for free and then purchase paid version if you like, no cc nothing required.
    👎 Cons:    Everything is alright, there is no cons

Top 10 Bulk Email Verifier and Validation Services Compared
It validates your email lists to check for invalid or undeliverable emails so that you can maximize your marketing campaign potential. You can either upload your email list and clean it in bulk using the CSV format, or integrate with MailboxValidator API. MailboxValidator interface is fully integrated with major ESP (Email Service Provider). Alternatively, a list can be...
10 Best Campaign Monitor Alternatives You Can Find
Mailchimp is a popular marketing automation and email marketing tool. Its form and landing page builders are useful for generating signups and expanding email lists. Are you wondering if Campaign Monitor and Mailchimp are the same? Both are email marketing tools, yet they differ in many ways.
Source: mailbluster.com
Comparing 16 Campaign Monitor Alternatives: In-depth Analysis
Insights and predictions: Mailchimp’s analytics, including current analytics and predicted demographics, helps you learn more about your audience campaigns.
The 6 Best Campaign Monitor Alternatives for 2024
CategoryMailchimpCampaign MonitorBest FeatureEfficient handling of large listsUser-friendly email designPros1. Seamless scalability2. Comprehensive marketing tools3. User-friendly drag-and-drop editor1. Easy-to-use email templates2. Beautiful customizable templates3. In-depth reporting and analyticsCons1. Learning curve for beginners2. Pricing can be higher for large lists3....
The 5 Best Email Marketing Software of 2023
Mailchimp emerges as a frontrunner in the email marketing arena. Its blend of user-friendly features, advanced capabilities, and an extensive array of templates position it as an invaluable asset for businesses of all sizes. While its pricing tiers could be a concern for some, the benefits it brings to the table undoubtedly outweigh the drawbacks.

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.
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

NumPy might be a bit more popular than MailChimp. We know about 119 links to it since March 2021 and only 89 links to MailChimp. 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.

MailChimp mentions (89)

  • Scalable E-Learning Platforms with Strapi’s API Integrations
    Integrating with marketing tools like Mailchimp through Strapi's API ensures that user data is consistently updated and synchronized, enabling more effective and targeted marketing campaigns. Whenever a user updates their profile or makes a purchase, these changes are automatically reflected across all connected systems. Real-time synchronization helps e-learning platforms maintain accurate contact records,... - Source: dev.to / 4 months ago
  • Email Workflow Automation 101: Templates, Tools, and Best Practices
    Mailchimp is a popular email marketing platform that offers features like customizable templates, A/B testing, and audience segmentation. This can preferred by teams looking to automate their email workflows but also want a minimalist tool to streamline their marketing efforts. - Source: dev.to / 8 months ago
  • The Behind-the-Scenes Magic: How Email Marketing Platforms Connect to Your Domain to Send Emails on Your Behalf
    Have you ever wondered how email marketing platforms like Mailchimp, BestRegards, and HubSpot manage to send hundreds or even thousands of emails from your custom domain in just seconds—without flooding your inbox?. - Source: dev.to / 8 months ago
  • 7 Best Transactional Email Platforms in 2024 Compared 📬
    MailchimpTransactional Emails, formerly Mandrill, is a paid Mailchimp add-on for sending transactional emails. For the purpose of this article, we’ll mainly use the former name Mandrill for the transactional part of the Mailchimp service. - Source: dev.to / 12 months ago
  • Design Newsletter Emails in Golang
    Have you ever wondered how newsletters from different companies and organisations work? Some companies use platforms like Mailchimp but if you're like me and want to understand what is going on and how to build yours so you have full control then follow along as we send a few custom newsletters to our subscribers. - Source: dev.to / about 1 year 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 MailChimp and NumPy, you can also consider the following products

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.

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

Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.

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

GetResponse - Email marketing from GetResponse. Send email newsletters, campaigns, online surveys and follow-up autoresponders. Simple, easy interface. FREE sign up.

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