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TFlearn VS Codeanywhere

Compare TFlearn VS Codeanywhere and see what are their differences

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Contents:
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  3. » Reviews
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TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Codeanywhere logo Codeanywhere

Codeanywhere is a complete toolset for web development. Enabling you to edit, collaborate and run your projects from any device.
Not present
  • Codeanywhere Landing page
    Landing page //
    2023-04-22

TFlearn features and specs

  • User-Friendly Interface
    TFlearn provides a higher-level API that simplifies the process of building and training deep learning models, making it easier for beginners to use TensorFlow.
  • Modular Design
    It offers modular abstraction layers, allowing users to construct neural networks using pre-defined blocks which are easy to stack and customize.
  • Integration with TensorFlow
    TFlearn is built on top of TensorFlow, providing the flexibility and performance benefits of TensorFlow while enhancing its usability.
  • Pre-built Models
    It includes a range of pre-built models and algorithms for common machine learning tasks like classification and regression, facilitating quick experimentation.

Possible disadvantages of TFlearn

  • Lack of Updates
    TFlearn has not been actively maintained or updated in recent years, which may lead to compatibility issues with the latest versions of TensorFlow.
  • Limited Flexibility
    While TFlearn offers a simplified API, it may not offer the same level of customization and flexibility as using TensorFlow's core API directly.
  • Smaller Community
    As a niche library, TFlearn has a smaller user community, which could result in less community support and fewer resources compared to more popular libraries like Keras.
  • Performance Limitations
    Though built on top of TensorFlow, the added abstraction layers in TFlearn could potentially lead to minor performance overhead compared to pure TensorFlow implementations.

Codeanywhere features and specs

  • Cross-Platform Support
    Codeanywhere supports a wide range of platforms including web, iOS, and Android, allowing developers to code from virtually any device.
  • Cloud-Based Environment
    It offers a cloud-based coding environment which means you can access your development workspace from anywhere, without needing to install software locally.
  • Collaboration Features
    The platform has robust collaboration tools, making it easier for teams to work together on projects in real-time.
  • Wide Range of Supported Languages
    Codeanywhere supports multiple programming languages, giving developers flexibility to work on various types of projects.
  • Built-in Terminal
    It includes a built-in terminal for executing commands directly in the cloud environment, streamlining the workflow for developers.
  • Integration with Code Repositories
    Seamlessly integrates with GitHub, Bitbucket, and other repository services for version control.
  • Preconfigured Development Environments
    Offers preconfigured environments for different development stacks, reducing the time needed to set up a new project.

Possible disadvantages of Codeanywhere

  • Pricing
    The service can be expensive compared to other options, especially for larger teams or more extensive feature use.
  • Performance Issues
    Some users have reported latency and performance issues, especially when working with large projects.
  • Dependency on Internet Connection
    Being a cloud-based service, Codeanywhere requires a stable internet connection to function effectively, which may not always be available.
  • Limited Offline Capabilities
    Unlike traditional IDEs, it has limited functionality when operating offline, restricting its usability in environments with unreliable internet.
  • Learning Curve
    The interface and features can be overwhelming for beginners, necessitating a learning period before users can fully exploit its capabilities.
  • Customization Options
    The platform has limited customization options compared to some desktop IDEs, which can be a drawback for developers with specific needs.

Analysis of Codeanywhere

Overall verdict

  • Codeanywhere is generally considered a good option for developers who need a flexible and portable coding environment. Its strengths lie in its accessibility, ease of setup, and comprehensive feature set. However, as with any tool, it may not meet the specific needs of every user, particularly those who require more advanced features found in some desktop-based IDEs.

Why this product is good

  • Codeanywhere is a cloud-based development environment that allows users to edit, collaborate, and run code in the cloud. It offers features such as an online IDE, collaboration tools, and support for multiple programming languages. Its benefits include ease of access from anywhere, streamlined collaboration among team members, and reducing the need for complex local setups.

Recommended for

  • Developers who frequently switch between devices and need a consistent development environment.
  • Teams looking for an easy way to collaborate on coding projects.
  • Beginners who want a straightforward setup without the need to configure a complex local development environment.
  • Freelancers or contractors who work on different projects and require a temporary or flexible development solution.

TFlearn videos

+ Add

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Codeanywhere videos

+ Add

CodeAnywhere -- Coding in the Cloud That Actually Works

More videos:

  • Review - CodeAnywhere Review
  • Tutorial - How to Code Anything with Codeanywhere

Category Popularity

0-100% (relative to TFlearn and Codeanywhere)

TFlearn

Codeanywhere

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IDE
0 0%
IDE
100% 100
OCR
100 100%
OCR
0% 0
Text Editors
0 0%
Text Editors
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 TFlearn and Codeanywhere

TFlearn Reviews

We have no reviews of TFlearn yet.
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Codeanywhere Reviews

9 Of The Best Android Studio Alternatives To Try Out
With Codeanywhere, you can move your development environment to the cloud. Codeanywhere has many pre-built environments using which you can develop your environment. The pre-built environment ranges from Ruby, JS, WordPress, Node, PHP, and so on.
Source: technicalustad.com
8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Codeanywhere’s Cloud IDE saves you time by deploying a development environment in seconds, enabling you to code, learn, build, and collaborate on your projects.Save time by deploying a development environment in seconds. Collaborate, code, learn, build, and run your projects directly from your browser. Cloud IDE – online code editor.
Source: www.softwarediscover.com
12 Best Online IDE and Code Editors to Develop Web Applications
Connect to anything. Yes, literally anything. You’re not obliged to store your code on CodeAnywhere’s servers. Whether your code resides on FTP, file sharing platforms like Dropbox, Amazon S3, or on sophisticated version control platforms like GitHub, you can easily set up CodeAnywhere to read from and write to that source, using the code editor purely for . . . Well, code...
Source: geekflare.com

Social recommendations and mentions

Based on our record, TFlearn seems to be more popular. It has been mentiond 2 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.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 3 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 4 years ago

Codeanywhere mentions (0)

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

What are some alternatives?

When comparing TFlearn and Codeanywhere, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

AWS Cloud9 - AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.

Clarifai - The World's AI

Koding - A new way for developers to work.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

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