Software Alternatives, Accelerators & Startups

React Native Paper by Callstack VS Nanonets

Compare React Native Paper by Callstack VS Nanonets and see what are their differences

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React Native Paper by Callstack logo React Native Paper by Callstack

Material Design for React Native (Android & iOS)

Nanonets logo Nanonets

Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
  • React Native Paper by Callstack Landing page
    Landing page //
    2023-10-16
  • Nanonets Landing page
    Landing page //
    2023-10-23

NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model

Nanonets

$ Details
freemium
Platforms
Browser REST API Docker Cross Platform Python JavaScript Java PHP Go C++
Release Date
2017 January

React Native Paper by Callstack features and specs

  • Cross-Platform Compatibility
    React Native Paper provides a consistent design and behavior across both iOS and Android platforms, allowing developers to build applications that work seamlessly on multiple devices.
  • Material Design Integration
    The library is based on Google's Material Design, offering a set of pre-built, highly customizable components that enable developers to achieve a cohesive look and feel for their applications.
  • Theming Support
    React Native Paper includes comprehensive theming support, allowing developers to easily switch themes and adjust colors to meet brand requirements or user preferences.
  • Active Community and Support
    Being maintained by Callstack, a company with significant expertise in React Native, ensures that React Native Paper is well-documented, frequently updated, and supported by an active community.
  • Customizable Components
    The components provided by React Native Paper are highly customizable, enabling developers to override default styles and functionalities to better suit their application's needs.

Possible disadvantages of React Native Paper by Callstack

  • Performance Overhead
    While React Native Paper provides many useful components, integrating it into a project can introduce some performance overhead, which might be noticeable in resource-constrained environments.
  • Learning Curve
    Developers new to React Native Paper or Material Design may face a learning curve understanding how to effectively use and customize the components according to the design guidelines.
  • Lacks Advanced Components
    Although React Native Paper covers most of the basic UI components, it may lack some advanced components or features, which might require developers to integrate additional libraries.
  • Dependency on Material Design
    Since React Native Paper relies heavily on Material Design principles, it may not be suitable for applications that require a unique or non-material design aesthetic.

Nanonets features and specs

  • Ease of Use
    Nanonets offers a user-friendly interface that makes it accessible for users without extensive technical knowledge, allowing easy setup and deployment of AI models.
  • Versatility
    The platform supports a wide range of use cases, including document extraction, image recognition, and OCR (Optical Character Recognition), making it adaptable to various business needs.
  • Automation
    Nanonets offers automation features that help streamline workflows, reducing manual effort and increasing efficiency for repetitive tasks.
  • Scalability
    Nanonets can handle large volumes of data and scale up as business requirements grow, ensuring consistent performance and reliability.
  • Integration Capabilities
    The platform can integrate with numerous third-party applications through APIs, enhancing its functionality and compatibility with existing business systems.

Possible disadvantages of Nanonets

  • Cost
    While providing valuable features, Nanonets can be expensive for small businesses or startups with limited budgets, potentially making it less accessible for these users.
  • Customization Limitations
    Despite its versatility, some advanced users may find the customization options lacking, especially for highly specialized or niche applications.
  • Learning Curve
    Although the interface is user-friendly, some users may still experience a learning curve when utilizing more advanced features and integrations.
  • Data Privacy Concerns
    As with any cloud-based platform, there may be concerns about data privacy and security, especially when dealing with sensitive or confidential information.
  • Dependency on Internet Connectivity
    Nanonets is a cloud-based service, which means that a stable internet connection is required for optimal performance. Any disruptions in connectivity can hinder productivity.

React Native Paper by Callstack videos

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Nanonets videos

Nanonets Airtable Walkthrough

Category Popularity

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AI
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Development Tools
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Developer Tools
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Reviews

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Nanonets Reviews

7 Best OCR Software of 2022 (Free and PAID)
Nanonets use artificial intelligence to extract data from documents without any human intervention. It is designed to be easy to use and accurate and can handle a variety of different languages.
The best alternatives to Abbyy FineReader
Top five alternatives to Abbyy FineReader PDF1. Klippa DocHorizonPros of Klippa DocHorizonConsKlippa DocHorizon is used in industries such asKlippa DocHorizon offers you data extraction for multiple file types such asPricing2. VeryfiPros of VeryfiConsVeryfi is used in industries such asVeryfi’s OCR software offers data extraction for multiple file types such asPricing3....
Source: www.klippa.com

Social recommendations and mentions

Based on our record, React Native Paper by Callstack should be more popular than Nanonets. It has been mentiond 12 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.

React Native Paper by Callstack mentions (12)

  • 5 Easy Methods to Implement Dark Mode in React Native
    Several UI libraries are available for React Native developers today. One of the most prominent is React Native Paper, a cross-platform material design for React Native. It is a collection of customizable and production-ready components for React Native, following Google’s Material Design guidelines. With 30+ customizable components, it is a great choice to use with Material UI. - Source: dev.to / about 2 months ago
  • Exploring the Best UI Component Libraries for React Native apps
    React Native Paper is a set of customizable and production-ready React Native components based on Google's Material Design specifications. It offers an option for integrating a Babel plugin, thereby minimizing its bundle size by eliminating modules that are not in use. Overall, React Native Paper is a popular choice for developers looking to create aesthetically pleasing user interfaces for React Native... - Source: dev.to / about 1 year ago
  • 7 Popular React Native UI Component Libraries You Should Know
    React Native Paper is a collection of customizable and production-ready components for React Native, following Google’s Material Design guidelines. Global theming support and an optional babel plugin to reduce bundle size are also there. - Source: dev.to / over 2 years ago
  • Is There Something Like Bootstrap (or Responsive design) in React Native?
    Nothing exists that I'm aware of like bootstrap in that sense, especially because people are typically moving away from it. There are UI kits like react-native-paper and Tamagui that exports pre-styled components. Source: over 2 years ago
  • is there a react native equal to MUI for reactjs?
    You don't name what kind of components you want to have all in one lib so I think react native paper is close to MUI visually. Source: over 2 years ago
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Nanonets mentions (6)

  • Healthcare Automation Can Improve Patient Engagement
    Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 3 years ago
  • Document Automation for Probate
    Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 3 years ago
  • Promote your business, week of May 16, 2022
    Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: almost 3 years ago
  • How would you annotate resumes for object detection?
    Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 3 years ago
  • Automate Exam Research with Django, Nanonets and Google Search API
    We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing React Native Paper by Callstack and Nanonets, you can also consider the following products

NativeBase - Experience the awesomeness of React Native without the pain

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

React Native UI Kitten - Customizable and reusable react-native component kit

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Galio - Free and open-source React Native UI built from the ground up as a framework

DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.