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  1. Stackups
  2. AI
  3. Chatbots & Assistants
  4. Chatbot Platforms And Tools
  5. Chaskiq vs Kommunicate

Chaskiq vs Kommunicate

OverviewComparisonAlternatives

Overview

Kommunicate
Kommunicate
Stacks0
Followers0
Votes0
Chaskiq
Chaskiq
Stacks6
Followers30
Votes0
GitHub Stars3.4K
Forks488

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Detailed Comparison

Kommunicate
Kommunicate
Chaskiq
Chaskiq

It is a modern customer communication software for real-time, proactive and personalized support for growing businesses. It is a one-stop solution for all your customer support problems.

It is a 100% open source conversational marketing platform build as an alternative for Intercom, Drift, and others, currently under active development. It is a platform that enables chat comunication with users in app or via campaigns (in app messages or newsletters). The platform is a Ruby on Rails app serving a graphql API which is consumed by a React application. It has minimal dependences , Postgres & Redis and interoperates with cdn providers like Amazon s3 and Amazon SES for email delivery.

Live chat; FAQs; Team inbox and email support; Bots and automation; Integration with multiple apps; Reports and analytics dashboard; Multi-platform integration
Customer Segment Filters with custom attributes support; Web Messenger embed; Agent's conversation routing; Text chat with customizable content blocks support; Video Calls !; Triggerable conversational bots; Mailing campaigns; Onboarding tours; API integrations - Whatsapp / Twitter DM / Slack / Calendly / Zoom and more!; CRM integration - Pipedrive supported; Webhooks; Help Center system with multilanguage support; API support - consumible via GrapqhQL with Oauth authorization; Quick replies (as canned responses); To learn more about the philosophy and goals of the project, visit chaskiq.io.
Statistics
GitHub Stars
-
GitHub Stars
3.4K
GitHub Forks
-
GitHub Forks
488
Stacks
0
Stacks
6
Followers
0
Followers
30
Votes
0
Votes
0
Integrations
Dialogflow
Dialogflow
Amazon Lex
Amazon Lex
IBM Watson
IBM Watson
PostgreSQL
PostgreSQL
Redis
Redis
Calendly
Calendly
Zoom
Zoom
Slack
Slack
Ruby
Ruby
Ubuntu
Ubuntu
macOS
macOS
Windows
Windows
Pipedrive
Pipedrive

What are some alternatives to Kommunicate, Chaskiq?

Engati

Engati

It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.

Olark

Olark

Olark is a lightweight tool to chat with visitors to your website using your existing instant messaging client. Visitors to your website appear as buddies on your Buddy list, their messages to you appear as IMs.

Dialogflow

Dialogflow

Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

Telegram Bot API

Telegram Bot API

Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.

Botpress

Botpress

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo

Zopim

Zopim

Zopim is focused on serving the needs of web users that hasn’t been met by other chat solutions: the need for usability, convenience and simplicity of design

tawk.to

tawk.to

It is a live chat support & messaging application that focuses on successful communication between businesses and their customers.

Microsoft Bot Framework

Microsoft Bot Framework

The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.

Crisp

Crisp

Chat with website visitors, integrate your favorite tools, and deliver a great customer experience.

Amazon Lex

Amazon Lex

Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

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