NumPy VS Ably

Compare NumPy VS Ably and see what are their differences

Rating: 0 reviews
Pricing: Open source

Rating: 0 reviews
Pricing: Freemium Free trial

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Which is more popular?

Based on our record, NumPy should be more popular than Ably. It has been mentioned 122 times since March 2021.

social mentions: 122 vs 26
Data Science And Machine Learning popularity: 100% vs 0%
alternatives listed: 189 vs 139

Base details

Website, pricing, platforms and company facts side by side.

	NumPy	Ably
Website	numpy.org	ably.com
Pricing	Open source	Freemium Free trial Official pricing
Company	—	Startup from the United Kingdom · 50 - 99 employees · 2016
Listed in	Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1	Infrastructure As A Service (IaaS) Realtime Backend / API Mobile Push Messaging Developer Tools +1

About NumPy and Ably

In their own words, as submitted to SaaSHub.

NumPy

Ably

No description of NumPy yet.

We help teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure....

Features and specs

What each product offers, as listed by its team.

NumPy 5 features

Ably 8 features

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

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.

Scalability
Ably is designed to handle a massive number of concurrent connections and messages, making it scalable for both small and large applications.
Real-time Messaging
Ably provides robust real-time messaging capabilities with low latency, supporting use-cases like live chat, gaming, and real-time data streaming.
Global Presence
Ably has a globally distributed network, ensuring low latency and high availability for users around the world.
Advanced Features
It offers advanced features such as message history, presence, and push notifications, which can enhance the functionality of real-time applications.
Security
Ably includes built-in security features such as TLS encryption, token-based authentication, and private channels to ensure secure communication.
Extensive Documentation
The service provides extensive and well-organized documentation, making it easier for developers to integrate and utilize its features.
SDKs and Libraries
Ably offers a wide range of SDKs and libraries for different programming languages and platforms, easing the development process.
Reliable Delivery
It ensures reliable message delivery with features like message queuing and message de-duplication.

Possible disadvantages

Complexity
Due to its wide range of advanced features, the initial learning curve can be steep for new users.
Cost
For large-scale applications or extensive use of advanced features, the costs can add up, making it potentially expensive.
Vendor Lock-in
Relying heavily on Ably’s platform-specific features may result in vendor lock-in, making it challenging to switch to other services in the future.
Dependence on Internet Connection
As a cloud-based service, Ably’s performance is highly dependent on the quality and reliability of the internet connection.
Third-party Integration
While Ably offers various integration options, integrating certain third-party services may require additional custom development or may not be as seamless.

Analysis

An editorial look at what each product does well and who it suits.

NumPy

Ably

Overall verdict

Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

Scientists and researchers working with large-scale scientific computations.
Data scientists engaged in data analysis and manipulation.
Engineers and developers needing performance-optimized mathematical computations.
Educators and students in STEM fields.

Overall verdict

Ably is a reliable and efficient real-time messaging platform, well-suited for applications requiring high performance and scalability. It is generally well-regarded within the developer community for its ease of use and robust feature set.

Why this product is good

Features

Ably provides a comprehensive suite of features such as pub/sub messaging, presence, and history.
Security

It implements robust security practices including TLS encryption, token-based authentication, and private channels.
Integration

Supports numerous protocols and provides SDKs for various programming languages, making it easy to integrate with different systems.
Reliability

Ably offers high availability and low latency, ensuring messages are delivered in real-time.
Scalability

The platform can handle millions of active connections and is designed for horizontal scaling.

Recommended for

developers building real-time applications like chat apps, dashboards, or multiplayer games
businesses in need of a scalable solution for live updates and notifications
teams looking for a platform with strong security and compliance credentials
organizations requiring integration with existing development workflows and tools

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add

Ably 3 videos + Add

Learn NUMPY in 5 minutes - BEST Python Library!

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

NumPy

Ably

100% 100%

Data Science And Machine Learning

0% 0%

Developer Tools

100% 100%

Data Science Tools

0% 0%

Realtime Backend / API

100% 100%

User comments

Share your experience with using NumPy and Ably. For example, how are they different and which one is better?

Reviews and articles

External articles and on-site reviews we used to compare the two products.

NumPy no reviews yet

Ably no reviews yet

25 Python Frameworks to Master
kinsta.com · Oct 2023

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...
Top 8 Image-Processing Python Libraries Used in Machine Learning
neptune.ai · Nov 2021

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...
Top Python Libraries For Image Processing In 2021
www.analyticsvidhya.com · Apr 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...

We have no reviews of Ably yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

NumPy 122 mentions

Ably 26 mentions

Choosing Tech Stack in 2025: A Practical Guide
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 12 months ago
Top 5 GitHub Repositories for Data Science in 2026
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... - Source: dev.to / about 1 year ago
Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI,... - Source: dev.to / about 1 year ago

AWS us-east-1 outage: How Ably’s multi-region architecture held up
During this week’s AWS us-east-1 outage, Ably maintained full service continuity with no customer impact. This was our multi-region architecture working exactly as designed; error rates were negligibly low and unchanged throughout. Any... - Source: dev.to / 12 months ago
Real-Time Sync Alternatives: Vaultrice vs. localStorage, DIY, Firebase, Pusher
Services like Pusher and Ably are experts in real-time messaging. They provide robust APIs for pub/sub channels, allowing you to broadcast events to clients reliably. - Source: dev.to / about 1 year ago
CometChat Alternatives – Comparing the Top 10 Competitors
Ably is a real-time infrastructure platform that focuses on delivering low-latency, reliable messaging across global distributed systems. It's designed for developers building event-driven applications, including chat, but also supports... - Source: dev.to / over 1 year ago

Alternatives to NumPy and Ably

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

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

Compare Pandas to NumPy or Ably:

Pandas vs NumPy Pandas vs Ably
Pusher
Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Compare Pusher to NumPy or Ably:

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

Compare Scikit-learn to NumPy or Ably:

Scikit-learn vs NumPy Scikit-learn vs Ably
Socket.io
Realtime application framework (Node.JS server)

Compare Socket.io to NumPy or Ably:

Socket.io vs NumPy Socket.io vs Ably
OpenCV
OpenCV is the world's biggest computer vision library

Compare OpenCV to NumPy or Ably:

OpenCV vs NumPy OpenCV vs Ably
PubNub
PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

Compare PubNub to NumPy or Ably:

PubNub vs NumPy PubNub vs Ably