Software Alternatives, Accelerators & Startups

Localazy VS TensorFlow

Compare Localazy VS TensorFlow and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Localazy logo Localazy

Forget all the hassle and make your app available in 80+ languages with the translation platform built for app developers.

TensorFlow logo 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.
  • Localazy Landing page
    Landing page //
    2021-09-13

Integrate +in minutes using CLI or available SDK +No changes to the source code +Get Rid of uploading and downloading strings files manually

Translate + Up to 50% of your app to 80 languages with shared translations for free. + Use shared translation memory to speed up. + Deliver updated translations over-the-air.

Review + Translations from your contributors and never get lost in changes. + Review & approve when you have time + Ensure high-quality with pro-active review

  • TensorFlow Landing page
    Landing page //
    2023-06-19

Localazy

$ Details
freemium $19.0 / Monthly (Professional)
Platforms
Android Cloud Web Browser iOS JavaScript Swift React Native TypeScript Vue.js Windows Mac OSX Linux Node JS Cross Platform Ruby Java ReactJS Go PHP Wordpress Python Laravel Docker

Localazy features and specs

  • Always Up-To-Date!
    Deliver new translations and languages to your users online. We collect anonymous stats and use them to optimize the translation process.
  • Share Translations
    Share your code on Github (or elsewhere) and your translations on Localazy. Get your app translated to 80 languages with shared translations for free.
  • Flavors & Build Types 🍦
    Localazy understands your project structure and correctly translates product flavors and build types.
  • App Bundles & Libraries 📖
    Translate your app including dynamic app modules and libraries. App Bundles are fully supported too.
  • Array-lists & Plurals 👏
    No compromises. Localazy supports all types of Android's resources, so you don't need to take care of it manually.
  • App versions 🔀
    Localazy handles deprecated phrases and keeps them available for older versions of your app. No need to handle that on your side.
  • Optimized Translations 📈
    Localazy collects anonymous stats and prioritizes the translation and review process based on phrase importance.
  • Easy to Set-up and use
    Setup & Forget configuration.
  • Clean UI
    User friendly UI, easy to use on mobile devices as well.
  • Analytics and Reporting
  • Integrations
    50+ integrations and growing

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Analysis of Localazy

Overall verdict

  • Localazy is a solid choice for businesses and developers looking for a reliable and efficient localization tool. Its blend of ease of use, functionality, and cost-effectiveness makes it a competitive option in the localization market.

Why this product is good

  • Localazy is considered a good option because it offers a user-friendly interface, supports multiple file formats, and has automation features that streamline the localization process. It also provides affordable pricing options and allows collaboration across different team members, which enhances the efficiency of translation workflows.

Recommended for

  • Developers who need to localize their apps efficiently
  • Small to medium-sized businesses seeking a cost-effective localization solution
  • Teams looking for a tool that supports collaborative translation workflows
  • Organizations with a diverse audience requiring multi-language content delivery

Localazy videos

How to Create Multilingual Apps with Localazy - Platform Agnostic Continuous Localization

More videos:

  • Demo - Automated SW localization using Localazy CLI
  • Tutorial - Sync translations across your tech stack
  • Review - Going Walkabout - iOS localization workflow

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Localazy and TensorFlow)
Localization
100 100%
0% 0
Data Science And Machine Learning
Translation
100 100%
0% 0
AI
37 37%
63% 63

User comments

Share your experience with using Localazy and TensorFlow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Localazy and TensorFlow

Localazy Reviews

  1. Raghav Satyadev
    · Freelance Android Developer at Self-Employed ·
    A great automated translation tool for even a non-developer

    I got to know about this product from a friend. They told me that it provides OTA translations, I was in total denial first. But when I first checked it out I was totally in awe. It removes the hassle of adding new languages via each app update. Their prices are also really low.

    👍 Pros:    Automated ota translations are fixed. no need to update the app every time you need to add new language translation to app.
    👎 Cons:    I haven't found any cons till now. but i am in close connections with developers, so if anything is broken i can ask them to fix it immediately
  2. Manoj
    · Developer at Raw ·
    Amazing translation platform to localize my apps!

    I am super impressed by the translation platform provided by Localazy – I didn’t even know that something like this would be possible when I first started looking for localization solutions for my app; but once I’d seen it, I knew that it was something that I definitely had to have.

    Localazy has made it easy for my apps to add translations, helping me provide a more global audience reach. And the Localazy support team is awesome!

  3. Translate an app quickly and easily

    I was looking for a simple and cheap service to translate my app and I came across Localazy almost by chance. it was a pleasant discovery, I have been using it for months and I find it fantastic! The translations are published in real time without the need to update the app every time and this has allowed me to enlarge my audience. The integration is simple and fast but it can be customized according to the needs of each app or developer

    👍 Pros:    Ota|Cheap|Super simple|Great customer support

Best Localization Software in 2022
Another excellent option for your localization purposes is Localazy. You can simply localize your mobile, web, or desktop software using their user-friendly interface. Localazy facilitates communication and provides a complete picture of your localization project. You'll have complete control over your team members if you use contributor control. The strength of their...
Source: tolgee.io

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
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
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, Localazy should be more popular than TensorFlow. It has been mentiond 19 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.

Localazy mentions (19)

  • The developer mistake that makes most localisations to my language (and likely many others) very low quality and how to avoid it
    I would rather go with tools like Localazy and provide context (screenshots, glossary, message for translators, etc.). Source: about 2 years ago
  • How do you export strings for the translations team?
    You should use dedicated software that understands placeholders and formatting parameters correctly. E.g. https://localazy.com/. Source: about 2 years ago
  • free-for.dev
    Localazy.com - Free for 1000 source language strings, unlimited languages, unlimited contributors, startup and open source deals. - Source: dev.to / over 2 years ago
  • Strapi Localization made easy with Localazy Plugin
    Localazy is a next-gen localization platform enabling everyone to translate their project easily. And just like Strapi, Localazy can save developers a lot of time while giving them the freedom to use their favorite tools and frameworks. Localazy supports over 60 different integrations and is praised for its user-friendly interface and stellar customer support. You can learn more about the platform on the Localazy... - Source: dev.to / over 2 years ago
  • Top 10 Affiliate Programs for Digital Product Makers To Boost Your Online Income
    We know that overly promotional content does not work at all. So you can stay assured that our content will be focused on added value, not overselling anything to your visitors. Localazy will be mentioned as a resource of the information included in the article. Plus, the content will be republished with a canonical link to your domain from localazy.com - a domain with AHREFS DR 50 and growing. - Source: dev.to / almost 3 years ago
View more

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
View more

What are some alternatives?

When comparing Localazy and TensorFlow, you can also consider the following products

POEditor - The translation and localization management platform that's easy to use *and* affordable!

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

Lokalise - Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.

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

DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.

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