Software Alternatives, Accelerators & Startups

Resume.io VS Keras

Compare Resume.io VS Keras and see what are their differences

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Resume.io logo Resume.io

Build your job-winning resume in minutes

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Resume.io Landing page
    Landing page //
    2023-09-18
  • Keras Landing page
    Landing page //
    2023-10-16

Resume.io features and specs

  • User-Friendly Interface
    Resume.io offers an intuitive and easy-to-navigate interface that allows users to build their resumes quickly without any technical know-how.
  • Professional Templates
    It provides a wide range of professionally designed templates that cater to various industries and job roles.
  • Customization Options
    Users can customize their resume templates extensively, including changing fonts, colors, and layout structures to match their preferences.
  • ATS Compatibility
    The platform creates resumes that are optimized for Applicant Tracking Systems (ATS), increasing the chances of passing initial screenings.
  • Additional Resources
    Resume.io offers additional resources such as cover letter templates, pre-written phrases, and tips to enhance job applications.

Possible disadvantages of Resume.io

  • Limited Free Features
    While Resume.io allows users to create a resume for free, many of the advanced features and templates require a paid subscription.
  • Subscription Model
    The service operates on a subscription basis, which may not be cost-effective for users who only need it for a short period.
  • Export Restrictions
    Non-paying users may face limitations in exporting their resumes, with some formats like PDF being restricted to premium subscribers.
  • Occasional Formatting Issues
    Some users have reported occasional formatting issues when exporting resumes, which may require additional tweaks to ensure proper alignment.
  • Privacy Concerns
    As with any online service, there are concerns about data privacy and the security of the personal information uploaded to the platform.

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Analysis of Resume.io

Overall verdict

  • Overall, Resume.io is a strong choice for individuals seeking to create a visually appealing and polished resume with minimal effort. Its ease of use and the quality of its templates make it a popular option among job seekers.

Why this product is good

  • Resume.io is considered good because it offers a user-friendly interface, a variety of customizable templates, and features like automatic formatting and spell-check. These tools simplify the process of creating a professional-looking resume. Additionally, its guidance and tips for writing compelling content make it accessible for users at different stages of their career journey.

Recommended for

    Resume.io is recommended for job seekers who are looking for a quick and efficient way to build their resumes. It is especially useful for those who may lack design skills or are short on time. It is also suitable for individuals who want guidance in crafting impactful resume content.

Analysis of Keras

Overall verdict

  • Keras is a solid choice for deep learning projects, offering simplicity and flexibility without sacrificing performance. It is well-suited for educational purposes, research, and even deploying models in production environments.

Why this product is good

  • Keras is widely regarded as a good deep learning library because it provides a user-friendly API that allows for easy and fast prototyping of neural networks. It is built on top of other libraries like TensorFlow, making it robust and efficient for both beginners and experienced developers. Its modularity, extensibility, and compatibility with other tools and libraries make it a popular choice for developing deep learning models.

Recommended for

  • Beginners who are new to deep learning
  • Researchers looking for an easy-to-use platform for prototyping models
  • Developers working on projects that require quick experimentation and development
  • Individuals and companies deploying models into production environments

Resume.io videos

Resume.io - How to build a resume

More videos:

  • Review - Resume.io Review | Create a professional resume in minutes
  • Tutorial - Resume.io Review | How to Create a professional resume in minutes

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Resume.io and Keras)
Resume Builder
100 100%
0% 0
Data Science And Machine Learning
Careers
100 100%
0% 0
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 Resume.io and Keras

Resume.io Reviews

14 Best AI Resume Builders (Updated for 2024)
Resume.io can help you create a well-crafted resume within no time. You just have to sign up for an account and provide your details, and the AI tool will generate the resume on its own. You can even change the templates if you need to analyze how your achievements and skills show up differently in different formats.
Source: 4dayweek.io
10 Best Resume Builders to Jumpstart Your Career
Some resume builders like Resume.io and Jobscan offer live previews, while others like Zety and Kickresume offer excellent guides and resume content. Therefore, when choosing a resume builder, consider the features it offers, including customizable resume templates.
Source: traqq.com
Best Online Resume Apps 2023
With Resume.io, you get access to professionally designed resume templates and examples, downloadable in minutes. There is also an automatic job summary generator that will help you get started with your resume intro. The platform also has an interview school onboard — a tool designed to help you improve your interview skills.

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Keras should be more popular than Resume.io. It has been mentiond 35 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.

Resume.io mentions (15)

  • YSK: You should stop saving your resume as "resume.pdf"
    Https://resume.io/ I got a template from this website and removed the photo. I am applying to anything that's doable with a computer, customer service and hotel business as I have experience in that. Source: over 3 years ago
  • Would anyone be able to give me some resume guidance? I don't really know what I'm doing and have been making things up as I go.
    I got this design originally from resume.io but I still feel as if it's lacking. Can anyone help me out and give me some pointers? Source: over 3 years ago
  • Shoutout to all the people grinding through job applications, studying for certs, interviews etc.
    I'm in no position to give advice but I felt that having a good CV and people skills definitely helped me. I used resume.io for my CV and cover letter, and can definitely recommend it. I have previously worked as a manager in a different industry and used to receive 1-2 CV's a day, a good looking CV really stands out amongst the pile of terrible ones. Also, one half of the interview which landed me my job in IT... Source: over 3 years ago
  • What company’s are actively hiring work from home in the US?
    Check out https://resume.io worthwhile to pay for their services for a few months while you’re applying. Source: over 3 years ago
  • You don't need a personal website (and why I no longer have one)
    LinkedIn will act as a resume (although my actual resume is now hosted on resume.io) Update LinkedIn to link back to GitHub and Dev.to profiles. Update profile to mimic Resume credentials list. - Source: dev.to / over 3 years ago
View more

Keras mentions (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 month ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 12 months ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Resume.io and Keras, you can also consider the following products

Kickresume - Land your dream job with the world's most advanced AI career assistant. Trusted by 6,000,000+ professionals worldwide.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Enhancv - Create compelling eye-catching resumes that grab employers’ attention and enhance your chances of getting hired.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Zety - Use this online resume maker to build your resume fast and easy. Get expert advice as you write. Download in minutes and start getting interviews.

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