Software Alternatives, Accelerators & Startups

Crowdin VS NumPy

Compare Crowdin VS NumPy and see what are their differences

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Crowdin logo Crowdin

Localize your product in a seamless way with Crowdin's translation management software

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Crowdin Crowdin Profile View
    Crowdin Profile View //
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  • Crowdin Crowdin Project View
    Crowdin Project View //
    2026-02-11
  • Crowdin Crowdin Tasks View
    Crowdin Tasks View //
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  • Crowdin Crowdin Reports Page
    Crowdin Reports Page //
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  • Crowdin Crowdin connector app view
    Crowdin connector app view //
    2026-02-11

Crowdin is an AI-powered localization software for teams and businesses. Connect with your development, design, and marketing stack, manage all your multilingual content in one place.

Get quality translations for your app, website, game, supporting documentation, marketing materials and more. Invite your own translation team or work with professional translation agencies within Crowdin.

Key features include:

  • Translation Memory, In-Context Visual Editor, Machine Translations, Quality Assurance checks, Reports, and a Marketplace.

  • 700+ apps and integrations, including Git, marketing, support, and a lot of other tools you can find at https://store.crowdin.com.

  • AI-powered localization tools: QA, pre-translation automation, AI Context Harvester, Agentic AI, the platform also supports most of the popular AI providers like OpenAI, Anthropic and more.

  • Get translations from Crowdin language services, agencies from the marketplace, or your own translation team.

  • Content integrations with GitHub, GitLab, Bitbucket, and Azure Repos.

  • API, CLI, webhooks.

  • iOS and Android SDKs for over-the-air content delivery, real-time preview, and screenshots.

  • Integrations with design tools: Figma, Adobe XD, and Sketch plugins.

  • Integrations with CMS like Webflow, Storyblok, Bigcommerce, Shopify etc.

  • Integrations with marketing tools: Mailchimp, Contentful, SendGrid, Hubspot, Dropbox, and more.

  • Tasks and various collaboration tools.

For more information, visit https://crowdin.com.

For enterprise businesses, we have Crowdin for Enterprise: https://crowdin.com/enterprise.

Crowdin supports more than 100 file formats for mobile, software, documents, subtitles, graphics and assets: .xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .properties, .strings, and so on.

  • NumPy Landing page
    Landing page //
    2023-05-13

Crowdin

$ Details
freemium $50.0 / Monthly (Pro)
Platforms
SaaS Cloud Web Browser
Release Date
2009 January
Startup details
Country
Estonia
City
Tallinn
Founder(s)
Serhiy Dmytryshyn
Employees
50 - 99

Crowdin features and specs

  • Source Files Management
    Support of all popular file formats, files prioritization, export options, file revisions with a rollback possibility.
  • Over-The-Air Content Delivery
    An API to distribute and deliver translated content to the end users. Can be used with Crowdin Android and iOS SDK
  • Sketch Plugin
    Automate translation of content on your pages and artboards into multiple languages. Quickly generate language-specific assets.
  • Jira Integration
    Keep track of issues in the source strings reported by users working on the project translation. Each new issue in Crowdin becomes a sub-task in Jira automatically.
  • Translation memory
    Translation Memory (TM) is the vault of previously translated content from a particular project.
  • Google Play Integration
    Crowdinโ€™s integration with Google Play improves the process of your appโ€™s data localization.
  • GitHub, Bitbucket and GitLab Integrations
    Keep files synchronized between your repository in version control system and project in Crowdin.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of Crowdin

Overall verdict

  • Crowdin is generally regarded as a good tool for localization management, particularly for businesses seeking to efficiently manage multilingual projects. The combination of robust features, ease of use, and integration options makes it a popular choice among developers and managers.

Why this product is good

  • Crowdin is considered a reliable platform for localization management due to its user-friendly interface and comprehensive features. It supports a wide range of file formats, offers real-time collaboration, and integrates with various tools and platforms. Its automated workflows and machine translation capabilities facilitate efficient translation processes. The platform is designed to streamline project management, making it easier for teams of all sizes to manage their localization needs.

Recommended for

    Crowdin is recommended for software developers, project managers, and localization teams working on apps, websites, or any digital product that demands efficient and effective translation management. It is also suitable for companies looking to expand their products' reach into international markets.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Crowdin videos

Unlock New Features of Crowdin AI

More videos:

  • Demo - What's Crowdin?
  • Demo - Crowdin Apps & Integrations: a single tool to localize all your content
  • Tutorial - How To Manage Translations For Your Application | Crowdin & GitHub Tutorial

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Crowdin and NumPy)
Localization
100 100%
0% 0
Data Science And Machine Learning
App Localization
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Crowdin and NumPy.

What makes your product unique?

Crowdin's answer

Crowdin uniquely combines agile continuous localization with a highly customizable, enterprise-grade AI infrastructure. You can connect translation projects with over 700 apps and integrations. Crowdin offers exclusive capabilities like an AI Context Harvester, BYO key for any LLM connection, 40+ MT engines availability, custom workflows, Over-The-Air (OTA) deployment for mobile apps, and enterprise-grade security to protect your data.

Why should a person choose your product over its competitors?

Crowdin's answer

Enterprises choose Crowdin for its unmatched customizability and strict security compliance (ISO/IEC 27001). It completely automates complex localization pipelines using powerful developer tools (Git syncing, APIs, Over-The-Air updates), while guaranteeing accuracy by giving both AI and human linguists perfect visual context through auto-tagged screenshots and in-context editors.

What's the story behind your product?

Crowdin's answer

The company was founded in 2008 by Ukrainian programmer Serhiy Dmytryshyn as a hobby project for localization of small projects. The platform was officially launched in January 2009. Since then, it has been adopted among software and game development companies for software translation. The launch of Crowdin Enterprise came in 2020. In early 2020s, Crowdin began incorporating AI and large language model (LLM) capabilities into its platform. By 2025, over 3 million registered users across 160 countries had signed up on the platform.

Who are some of the biggest customers of your product?

Crowdin's answer

  • Intel
  • Xiaomi
  • OnePlus
  • GitHub
  • GitLab
  • Raspberry Pi
  • TYPO3
  • Joomla
  • Magento
  • PrestaShop
  • Calendly
  • Wrike
  • Pipedrive
  • Strava
  • Preply
  • JetBrains
  • Kickstarter
  • Khan Academy
  • Code.org
  • Meeds
  • Mojang
  • Wildlife Studios
  • Coffee Stain

How would you describe the primary audience of your product?

Crowdin's answer

Crowdinโ€™s primary audience is large global enterprises, fast-scaling tech companies, and agile development teams. Specifically software, app, and game studios. Those teams that require highly secure, continuous localization deeply integrated into their CI/CD pipelines at scale.

User comments

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Reviews

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

Crowdin Reviews

Crowdin vs. Lokalise:True Lokalise Alternative
Frequently Asked Questions Who should use Crowdin? What is Crowdin used for? Crowdin is a cloud-based localization platform that automates translation for software, websites, apps, and content. It supports 100+ file formats, integrates with 700+ tools, and offers AI-powered translations, real-time collaboration, and translation memory to ensure accuracy. Used by translators,...
Source: crowdin.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Crowdin. It has been mentiond 122 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.

Crowdin mentions (22)

  • Tools to Automate GitHub Projects
    Crowdin simplifies translation management by syncing translations from GitHub to its dashboard. Translators can contribute without interacting with GitHub directly. Learn more about Crowdin here. - Source: dev.to / over 1 year ago
  • What is Website Localization?
    There are many products out there such as Lokalize, Crowdin, Weglot, Adobe Target, etc can be used to achieve these experiences. Diving into the details and the general working of these products is out of scope of this blog post. But do give these products a try. - Source: dev.to / over 1 year ago
  • How to Translate Your Next.js App in 5 Minutes With Crowdin
    We decided to see if there are any solutions to this issue on the market, did a bit of research, and decided to try out Crowdin - and we think itโ€™s awesome! It offers:. - Source: dev.to / almost 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Crowdin.com โ€” Unlimited projects, unlimited strings, and collaborators for Open Source. - Source: dev.to / over 2 years ago
  • Coding for UX writers
    We're using Crowdin for this, since we need to localise with external partners to different languages: https://crowdin.com/. But there are other options on the market that are geared more towards providing a true source of text, like Frontitude or Ditto: Https://www.frontitude.com/ Https://www.dittowords.com/. Source: over 2 years ago
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NumPy mentions (122)

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What are some alternatives?

When comparing Crowdin and NumPy, you can also consider the following products

Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

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

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

OpenCV - OpenCV is the world's biggest computer vision library