Software Alternatives, Accelerators & Startups

PythonAnywhere VS Split.io

Compare PythonAnywhere VS Split.io and see what are their differences

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PythonAnywhere logo PythonAnywhere

Host, run, and code Python in the cloud: PythonAnywhere

Split.io logo Split.io

In a world where product development teams are pressured to do more with less, Splitโ€™s Feature Data Platformโ„ข gives you the confidence to move fast without breaking things.
  • PythonAnywhere Landing page
    Landing page //
    2018-09-30
  • Split.io Landing page
    Landing page //
    2023-08-02

In a world where product development teams are pressured to do more with less, Splitโ€™s Feature Data Platformโ„ข gives you the confidence to move fast without breaking things.

Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you know if your features are making things better or worse, and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Split is a feature management platform that takes the extra step with experts to support you, online courses to help you learn as you go, and a developer-oriented culture that puts our customers at the center.

Whether youโ€™re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them outโ€“Change the way the work gets done with Split. Switch on a free account today, schedule a demo to learn more, or contact us for further questions.

PythonAnywhere features and specs

  • Ease of Use
    PythonAnywhere provides a user-friendly interface with pre-configured settings, which makes it simple for beginners to deploy and manage Python applications without the need to manage server infrastructure.
  • Integrated Development Environment
    It includes an in-browser code editor and Python console, making it convenient to edit and run code on the go without needing to install any software locally.
  • Affordable Pricing
    Offers various pricing tiers, including a free tier, which is very attractive for small projects, prototypes, and learning purposes.
  • Scalability
    Offers options to scale applications as needed, making it suitable for growing projects that may require additional resources over time.
  • Built-in Python Libraries
    Comes pre-installed with many common Python libraries and frameworks, saving users the time and effort of setting up dependencies.
  • Built-in MySQL Support
    Provides built-in support for MySQL databases, making it straightforward to set up and manage databases for your applications.
  • Automated Backups
    Includes automated backup features to help secure your data and provide peace of mind.

Possible disadvantages of PythonAnywhere

  • Limited Customization
    The pre-configured environment limits customization options, which may be a drawback for more advanced users who require specific configurations or installations.
  • Free Tier Limitations
    The free tier has significant limitations, including restricted CPU time and storage space, which can hinder more demanding applications.
  • Performance
    Shared plans might experience slower performance during peak times due to the shared nature of the infrastructure.
  • Lack of Root Access
    Users do not have root access to the underlying system, which can be a limitation for deploying certain types of applications or custom services.
  • Support Limitations
    While it offers community support and documentation, the level of professional support might not meet the needs of all users, especially those on lower-tier plans.
  • Limited Language Support
    Primarily focused on Python, which may not suit all projects, especially those requiring multi-language support.
  • Resource Constraints
    Lower-tier plans have stringent resource limits (CPU, RAM, storage), which can be restrictive for resource-intensive applications.

Split.io features and specs

  • Feature Flagging
    Split.io provides advanced feature flagging capabilities, allowing for controlled rollouts, A/B testing, and targeted releases.
  • Data-Driven Decisions
    The platform offers comprehensive analytics to measure the impact of features, helping businesses make informed decisions based on real user data.
  • Integration Capabilities
    Split.io supports integration with various data and development tools, making it easier to incorporate into existing workflows and tech stacks.
  • Scalability
    Split.io is designed to handle high volumes of feature flags and experiments, making it suitable for companies of all sizes, from startups to enterprises.
  • Security and Compliance
    The platform ensures data security and compliance with global standards, an important factor for businesses handling sensitive information.

Possible disadvantages of Split.io

  • Cost
    Split.io can be expensive, especially for smaller teams or startups, as pricing scales with usage and feature needs.
  • Learning Curve
    There is a learning curve associated with mastering all the features and integrating Split.io into existing processes, which might require dedicated time and resources.
  • Complexity
    For smaller projects or teams, the extensive features offered might be overkill and could complicate straightforward deployments.
  • Dependency on Platform
    Relying heavily on Split.io for feature management could result in a dependency that might be challenging to replace or migrate away from in the future.
  • Performance Overhead
    Implementing feature flags and experiments could introduce a slight performance overhead, particularly if not managed correctly.

Analysis of PythonAnywhere

Overall verdict

  • Overall, PythonAnywhere is considered a good option for those seeking a reliable, straightforward, and affordable way to host Python applications. While it might not cater to the needs of very large scale or highly customizable environments, it is well-suited for personal projects, small to medium-sized applications, and educational purposes.

Why this product is good

  • PythonAnywhere is a popular choice for hosting Python applications because it offers a convenient and user-friendly platform for both beginners and experienced developers. Its cloud-based service allows for easy deployment and execution of Python scripts without the need to manage physical servers. The platform supports web development frameworks like Flask and Django, provides a variety of integrations and is equipped with a web-based interactive console, which makes it highly accessible for many users.

Recommended for

    PythonAnywhere is especially recommended for Python developers (beginners and intermediates), educators, students, and hobbyists who are looking for an easy and quick way to deploy and host their Python applications or who need an online python environment for coding practice.

Analysis of Split.io

Overall verdict

  • Split.io is a highly recommended platform if you are looking for advanced feature management and experimentation capabilities. Its scalability, integration options, and security measures make it a great choice for organizations aiming to innovate with confidence.

Why this product is good

  • Security
    It ensures secure handling of customer data and provides robust access control features to ensure compliance with modern security standards.
  • Integration
    The platform integrates well with a wide range of development and data tools, providing flexibility and a more streamlined workflow for engineering teams.
  • Scalability
    Split.io is designed to handle large-scale feature flags and experiments, making it suitable for organizations of various sizes.
  • Experimentation
    It offers advanced experimentation capabilities, enabling data-driven decisions through A/B testing and analytics, empowering teams to optimize user experiences based on reliable data.
  • Feature management
    Split.io provides robust feature management functionality that allows teams to control the rollout of new features and experiment with different variations seamlessly.

Recommended for

  • Product managers looking to control feature rollouts.
  • Engineering teams adopting CI/CD practices.
  • Data analysts and data scientists focusing on experimentation.
  • Large organizations managing complex feature environments.
  • Startups aiming to quickly iterate on feature development.

PythonAnywhere videos

Python Anywhere with pythonanywhere - Simplified Python VPS hosting

More videos:

  • Review - Deploy Python Flask App on Pythonanywhere.com
  • Review - PythonAnywhere in one minute

Split.io videos

Switch It On With Split

More videos:

  • Review - Split Series - Away From the Keyboard With Matt Winchester, Software Engineering Manager
  • Review - Split Series - Away From The Keyboard with Geoff Rayback, Software Engineer

Category Popularity

0-100% (relative to PythonAnywhere and Split.io)
Text Editors
100 100%
0% 0
Feature Flags
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Developer 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 PythonAnywhere and Split.io

PythonAnywhere Reviews

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Split.io Reviews

Top Mobile Feature Flag Tools
Split is yet another powerful feature flag management tool serving customers like EA, Salesforce, and Crunchbase. It might not be suited for cross-channel experiments, but offers highly granular control over your releases, their targeting, and team permissions. Additionally, Split provides a powerful analytics engine that can automatically determine the significance of test...
Source: instabug.com

Social recommendations and mentions

Based on our record, PythonAnywhere should be more popular than Split.io. It has been mentiond 55 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.

PythonAnywhere mentions (55)

  • [Offer] I need someone to set up a webhook in my WordPress site and a Python server with listener + bot
    The website is already built. Each comment will have a reddit post URL, and the bot should leave a comment on that URL. We can use pythonanywhere.com for this to make it easiest. Source: about 3 years ago
  • Flask and web hosting
    If you are learning, use pythonanywhere.com as they specialize in python, and make setup easy. Only $5 a month. Start with a barebones flask app, get it to run, then follow a tutorial. Actually better to build the app locally, easier to test with IDE like Pycharm. Then upload to the net. Source: about 3 years ago
  • Redirecting client to my server via a external server
    Hello, I have a Minecraft server running on a Rpi with Paper. It works great and I use it to play with some of my friends. However, the server's public IP address often changes, meaning that I have to give my friends the new IP address daily. Being a programmer, I feel this could be automated. I don't want to buy a domain, so I want to try and setup a system where the server sends Its IP to my PythonAnywhere... Source: over 3 years ago
  • Question Gallery WebApp Django or Flask?
    Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: over 3 years ago
  • Cheap Heroku alternative for PHP MySQL app
    So what is the best alternative? I have one Plotly Dash app on pythonanywhere.com where I spend 6 bucks a month so I don't want to spend anymore than 5 dollars per month on the PHP + MySQL. Source: over 3 years ago
View more

Split.io mentions (12)

  • Mysa app crashing when trying to open the schedule for a thermostat
    I added split.io to my Pi-Holes while list but it still crashes. Source: almost 4 years ago
  • Mysa app crashing when trying to open the schedule for a thermostat
    If possible can you please ensure that split.io is being allowed through your adblocker? Source: almost 4 years ago
  • Any simple/conservative lists that just block ads, not trackers that might break mobile apps and web sites?
    Split.io, segment.io, app-measurement.com, ... These domains do not really serve ads, they are used for analytics which one can argue is a privacy issue. But some Android apps just refuse to start if you block some of these domains. Source: about 4 years ago
  • Dev is painfully slow
    People here must not be using Animation libraries, or A/B testing libraries (ala split.io) etc.. These bring in hundreds of modules alone.... terrible, but I'm thinking many of those posting aren't really building for serious enterprise production type websites. Source: about 4 years ago
  • What words do you like to put on your buttons?
    I looked up split.io and their website is worse. I see some technical jargon that I recognize, but the rest is gibberish. Makes me think there is room for providing better content in the space. Source: about 4 years ago
View more

What are some alternatives?

When comparing PythonAnywhere and Split.io, you can also consider the following products

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.