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Fleksy VS Rasa Core

Compare Fleksy VS Rasa Core and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Fleksy logo Fleksy

Fleksy is the #1 private, white-label virtual keyboard SDK, enabling companies to create unimaginable products.

Rasa Core logo Rasa Core

Rasa Core is a well-designed dialogue engine used to create chatbots.
  • Fleksy Landing page
    Landing page //
    2023-09-20

Fleksy (Thingthing Ltd.) is a dynamic software company specialized in developing software typing technologies.

For Consumers (B2C), we help millions of smartphone users elevate their typing experience thanks to the Fleksy keyboard, one of the world's most popular virtual keyboards in the world.

On the B2B side, our cross-platform keyboard API has been used more than 20 million times. Supporting 82 languages, it includes a powerful auto-correction engine, next-word prediction algorithm, and a patent-pending swipe input method. From Android and iOS apps all the way to AR, VR, and MR, software engineers of all backgrounds can integrate the Fleksy Core SDK in a vast array of applications.

On the other hand, our feature-rich virtual keyboard SDK enables developers, SMBs and Organizations to build a fully customized keyboard app. It includes our Fleksy Core and Templates, enabling you to build a 10x better software keyboard in 90% less time. Available on Android and iOS.

  • Rasa Core Landing page
    Landing page //
    2023-09-02

Fleksy

Website
fleksy.com
Pricing URL
Official Fleksy Pricing
$ Details
paid Free Trial $299.0 / Monthly
Platforms
iOS Android Cross Platform C++ Unity Windows Linux AGL
Release Date
2018 June
Edit details

Rasa Core

Website
rasa.com
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Fleksy features and specs

  • Autocorrection
  • Swipe Typing Input
  • Next Word Predictions
  • Custom Views
  • Data Layer Template
  • Search API Template
  • Word Template
  • Keypress Template
  • Languages
    81
  • Theming

Rasa Core features and specs

  • Open Source
    Rasa Core is open source, which means it is free to use and you can modify the code to suit your needs. This encourages customization and transparency, allowing developers to adapt the framework to specific requirements without incurring additional costs.
  • Customizability
    Rasa Core allows for high customization of bot behaviors using Python, enabling developers to create very complex and tailored conversational models. This flexibility is beneficial for projects with specific or unique requirements.
  • Machine Learning-Based
    By using machine learning to manage dialogues, Rasa Core can handle unexpected dialogue flows and generalizes better across unseen dialogue turns, offering better user experience compared to rule-based systems.
  • Strong Community Support
    Being a popular open-source project, Rasa has an active and helpful community, which can be a valuable resource for troubleshooting, sharing best practices, and collaborating on enhancements.
  • Integration Capabilities
    Rasa Core is designed to be easily integrated with various messaging platforms and APIs, enabling seamless deployment across different channels like Facebook Messenger, Slack, and more.

Possible disadvantages of Rasa Core

  • Complexity
    Implementing Rasa Core can be complex, especially for beginners, as it requires understanding machine learning principles and Python programming. This can be a steep learning curve for teams without prior experience.
  • Resource Intensive
    Running Rasa Core effectively can require significant computational resources, particularly for large-scale applications or when training complex models, which could be a limitation for smaller teams or projects.
  • Lack of Built-In Analytics
    Rasa Core does not offer built-in analytics to track and monitor conversation performance directly. Developers need to implement additional tools or systems to gather and analyze user interaction data.
  • Manual Training Data Preparation
    Setting up Rasa Core requires a substantial amount of training data that needs to be labeled manually, which can be time-consuming and requires meticulous effort to ensure quality and accuracy.
  • Steeper Learning Curve
    Due to its architectural complexity and the need for coding, users without a technical background might find it challenging to grasp and deploy Rasa Core effectively compared to other more user-friendly platforms.

Analysis of Fleksy

Overall verdict

  • Fleksy is a well-regarded keyboard app that offers speed, customization, and innovative features. It is generally considered a good choice for users looking for a fast and flexible typing experience on their mobile devices.

Why this product is good

  • Fleksy is known for its intuitive design and powerful predictive text engine, making typing faster and more accurate. It boasts a wide array of customization options, including themes and extensions, which allow users to personalize their experience. Additionally, Fleksy offers unique features like gesture-based typing and an integrated search function, enhancing its usability.

Recommended for

  • Users who prioritize typing speed and accuracy.
  • People who enjoy customizing their mobile keyboard's appearance and functionality.
  • Those who appreciate gesture-based controls and integrated app search features.
  • Individuals looking for an alternative to standard keyboards with innovative features.

Fleksy videos

+ Add

Fleksy keyboard SDK Introduction

More videos:

Rasa Core videos

+ Add

Core i3 Rasa Core i7: Review Laptop HP Pavilion 13 AN1033TU - Indonesia

Category Popularity

0-100% (relative to Fleksy and Rasa Core)

Fleksy

Rasa Core

iOS Tools
100 100%
iOS Tools
0% 0
Chatbots
0 0%
Chatbots
100% 100
iPhone
100 100%
iPhone
0% 0
CRM
0 0%
CRM
100% 100

User comments

Share your experience with using Fleksy and Rasa Core. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Rasa Core 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.

Fleksy mentions (0)

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

Rasa Core mentions (2)

  • What is Rasa? A Beginner’s Guide to Conversational AI
    Rasa is an open-source framework for building conversational AI, including chatbots and virtual assistants. Unlike the conventional chatbots, Rasa gives developers the freedom to create highly customisable AI systems tailored to specific needs. - Source: dev.to / 5 months ago
  • Conversational Task Assistant chatbot
    Here is a link to the model that I have begun using Https://rasa.com/docs/rasa/playground/. Source: about 2 years ago

What are some alternatives?

When comparing Fleksy and Rasa Core, you can also consider the following products

AnySoftKeyboard - Android (f/w 1.5+) on-screen keyboard for multiple languages.

Botsify - Ever wonder if you could replace your live chat support system with a chatbot?. Its possible now with Botsify Chatbot For Website.

Hacker's Keyboard - Are you missing the key layout you're used to from your computer when using an Android device?

Recast.AI - Recast.AI is the leading platform to build, connect and monitor bots.

Gboard - Google-powered keyboard with search, GIFs, emojis and more!

Gomix - The easiest way to build the app or bot of your dreams

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