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PySimpleGUI VS Redis ™

Compare PySimpleGUI VS Redis and see what are their differences

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PySimpleGUI logo PySimpleGUI

A simple to use GUI that can create custom GUIs

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • PySimpleGUI Landing page
    Landing page //
    2023-08-18
  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

PySimpleGUI features and specs

  • Ease of Use
    PySimpleGUI is designed to be easy to use for beginners, with a simpler API compared to other GUI frameworks like Tkinter or PyQt. This reduces the learning curve for new users.
  • Cross-Platform Compatibility
    The library runs on multiple platforms including Windows, macOS, and Linux, allowing developers to write code that works across different environments.
  • Simplified Codebase
    PySimpleGUI abstracts the complexity of GUI programming, allowing developers to create graphical interfaces with less code, which can improve readability and reduce development time.
  • Integration with Other Frameworks
    PySimpleGUI can work on top of tkinter, Qt, WxPython, and Remi, thus giving users the flexibility to switch between underlying frameworks with minimal code changes.
  • Community Support
    The project is open source with active community support and frequent updates, which helps in getting assistance and improvements consistently.

Possible disadvantages of PySimpleGUI

  • Limited Advanced Features
    While PySimpleGUI is excellent for simple applications, it may lack advanced features required for complex GUI applications compared to more comprehensive frameworks like PyQt.
  • Performance
    PySimpleGUI might not be as optimized for performance as lower-level GUI frameworks, which can be a drawback for applications with intensive graphical requirements.
  • Dependency on Underlying Libraries
    PySimpleGUI's functionality is dependent on the underlying GUI frameworks it wraps, such as Tkinter or Qt, which may limit its capability to innovate beyond what those frameworks offer.
  • Lack of Native Look and Feel
    The GUI created with PySimpleGUI might not always match the native look and feel of the underlying operating system, which can affect user experience.
  • Smaller Ecosystem
    Compared to more established GUI frameworks like PyQt or Tkinter, PySimpleGUI has a smaller ecosystem, which might limit the availability of third-party extensions or plugins.

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

PySimpleGUI videos

+ Add

Real Python Podcast – Episode 17 – Linear Programming, PySimpleGUI, and More

Redis videos

+ Add

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Category Popularity

0-100% (relative to PySimpleGUI and Redis)

PySimpleGUI

Redis

Rapid Application Development
100 100%
Rapid Application Development
0% 0
Databases
0 0%
Databases
100% 100
Development Tools
100 100%
Development Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 PySimpleGUI and Redis

PySimpleGUI Reviews

25 Python Frameworks to Master
It’s a great option for creating simple and easy-to-use graphical user interfaces in Python and allows you to add a GUI to your already working scripts pretty easily. PySimpleGUI wraps the power of 4 different GUI libraries, PySide, Tkinter, wxPython, and Remi.
Source: kinsta.com
Which Python GUI library should you use? Comparing the Python GUI libraries available in 2023
PySimpleGUI aims to simplify GUI application development for Python. It doesn't reinvent the wheel but provides a wrapper around other existing frameworks such as Tkinter, Qt (PySide 2), WxPython and Remi. By doing so, it not only lowers the barrier to creating a GUI but also allows you to easily migrate from one GUI framework to another by simply changing the import...
Source: www.pythonguis.com
10 Best Python Libraries for GUI
PySimpleGUI was developed back in 2018 to make it easier for Python beginners to get started with GUI development. A lot of the other frameworks require more complicated work, but PySimpleGUI enables you to begin right away without worrying about the advanced intricacies of other libraries.
Source: www.unite.ai
Top 10 Python GUI Frameworks for Developers
Isn’t the name of this framework a dead giveaway of what it is meant to do? Getting back to the topic, those starting fresh with Python application development may find a lot of Python GUI frameworks daunting at first. Mike B. created PySimpleGUI in 2018 to make it easier for Python newbies to get into GUI development without spending too much time getting into the...
Source: towardsdatascience.com

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Source: www.gigaspaces.com
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Source: engineering.kablamo.com.au
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.
Source: www.spec-india.com

Social recommendations and mentions

Based on our record, Redis seems to be more popular. It has been mentiond 217 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.

PySimpleGUI mentions (0)

We have not tracked any mentions of PySimpleGUI yet. Tracking of PySimpleGUI recommendations started around Mar 2021.

Redis mentions (217)

  • Feature Comparison: Reliable Queue vs. Valkey and Redis Stream
    Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 5 days ago
  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 18 days ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 18 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 1 month ago
  • Setup a Redis Cluster using Redis Stack
    Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing PySimpleGUI and Redis, you can also consider the following products

PyQt - Riverbank | Software | PyQt | What is PyQt?

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Tkinter - Tkinter is a Python wrapper for Tcl/Tk that offers classes to create various graphical user interfaces.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

MD Python Designer - A drag and drop GUI Designer that uses a combination of Tkinter and its own code.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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