Top 15+ Chatbot Development Frameworks in 2025

Chatbots are hyped, and it is very real. They are no longer are trend because they are a full-on movement. Since businesses are online and provide customers the leverage to access anytime and from anywhere, they have become 24X7 service-oriented.

You can say – businesses do not sleep, but humans do. Hence, to scale and provide a reliable solution with consistent enthusiasm every time a customer lands, a Chatbot is necessary.

What Do the Stats Say?

Certainly, it’s a one-time investment when a chatbot needs to be developed, which can lead to cost savings with improved response. Integrating chatbots can handle 80% of the repetitive queries with less to no human intervention.

Whether it is an enterprise or agency, chatbots can handle business operations to customer management. With adequate training and access to internal knowledge, chatbots can talk back intelligently. 

If your business requires an AI assistant, then this article is for you. We will help you with the right development framework to create the perfect bot that aligns with your business. 

To give you a heads up and assure you that Chatbot will be a lucrative investment, these well-researched numbers from renowned market researchers are here:

• Chatbots Magazine researched that a digital assistant can effortlessly aid customers while saving 30% of costs.
• Integrating a chatbot can assist in reducing cancellations and returns by 58%, according to Master of Code.
• Intercom integrated chatbot within the organization found 67% increased sales and enhanced team productivity by 50%.
• As the technology is evolving, chatbots are capturing market share rapidly. With a $8.4 billion market share in 2024, the size is expected to increase by $32.4 billion by 2032.
• Most tech giants, including Tidio, expect chatbots to become the primary customer service channel for a quarter of businesses by 2027.
• Additionally, the global AI chatbot market is expected to reach $46.64 billion by 2029 with a CAGR of 24.53%.

E-commerce brands are also adapting chatbots to deliver speedy and uninterrupted customer service. Juniper Research says that by the end of 2025, total spending on chat-based commerce channels will become $290 billion.

With many known advantages of AI-infused Chatbots, their expectations also exceed their adoption. Zendesk reports were caught explaining the survey it conducted of 2500 consumers in 20 countries. Additionally, approximately 4500 businesses were also surveyed about chatbot performance:

Around 55-69% expect chatbots to assist in finding products, provide accurate information, make personal recommendations, answer complex questions, and offer empathy when addressing concerns. 

Why Should You Develop a Chatbot?

Chatbots are developed to support business, allowing customers to gain ubiquitous access to services. Companies like Google, Amazon, IBM, and others have designed platforms and chatbot development frameworks for businesses. With natural language processing (NLP), these chatbots offer diverse functionality by selecting the correct tool. 

The development phase requires intent identification. Furthermore, NLP toolkits and libraries must be utilized to provide advanced facilities for tokenization and part-of-speech tagging. 

When developing a chatbot, training phases must be specified, as most tools rely on them. Using reinforcement training can incorporate better support and expansion. 

Certainly, developing an AI-integrated bot allows businesses to be flexible and ubiquitous. Their ability to automate methods for routine business processes allows analyst and managers to improve their business sales, gain customer insights to enhance their conversational marketing tactics, and respond immediately to customer concerns.

Integrating chatbots is also known to improve revenue by 15% to 35%. To ensure efficiency and reliability right framework use is essential. So, let’s move to our chief element – chatbot frameworks.

Best AI Chatbot Development Frameworks To Look at in 2025

Platform	Technical Level	Best For	Pricing (Starts At)
Dialogflow	Low-code	Scalable NLP bots	$0.006/msg
IBM Watson	Low-code	Enterprise customer support	$90/month
Amazon Lex	Mid-code	Voice/chatbots with AWS integration	$0.00075/request
Microsoft Bot SDK	High-code	Enterprise bots on Azure	Pay-as-you-go (Azure)
Rasa	High-code	Custom, private AI bots	Free / $1,500+ for Ent.
Botpress	Medium-code	Custom + visual editor bots	Free / $990+ for Ent.
Landbot	No-code	Lead-gen and landing page bots	€40/month
ManyChat	No-code	Social media DMs	Free / $15/month
Tidio	No-code	Support + eCommerce	Free / $39/month
Botkit	High-code	Messaging bots (Slack, Teams)	Free / varies with host

1. Dialogflow (by Google)

A perfect and the most popular cloud-based chatbot development framework. This framework is best for developing customer service, assistants (like Google, voice, etc), and web bots. Dialogflow is built with natural language understanding NLU that allows easy integration with Google services and Firebase. 

The platform is ideal for businesses that are looking for advanced & prebuilt agents/templates and AI features. The framework is best for fast and scalable bot development with multi-language support. 

2. IBM Watson Assistant

An ideal platform suitable for enterprise-grade bot development that manages complex or knowledge base needs. Enterprises that want an internal assistant with strong NLP and ML capabilities, then IBM Watson Assistant is the perfect framework to look for. 

The Watson Discovery, created by IBM, was designed to understand documents. Additionally, the AI-powered chatbot development framework has a visual dialog editor as well as can be deployed on various channels.

3. Amazon Lex

A conversational AI development framework is created for heavy environments. Powered by the same technology as Alexa, this Amazon-originated framework is suitable for creating voice-enabled bots and handling complex backend functions. The framework offers secure and scalable development with voice and text support. Amazon Lex also allows deep integration with AWS, like CloudWatch, Lambda & more for exceptional functionality.

4. Microsoft Bot Framework

Ideal for developers looking for a development SDK & Azure bot that supports the Microsoft environment. This bot framework is easy to customize and highly scalable, offering complete control. 

Microsoft bot framework is best for developing enterprise-level cross-platform bots. The framework also offers effortless built-in support for popular platforms like Slack, Skype, and Teams, as well as Azure cognitive services integration (LUIS).

5. Rasa

A machine learning framework, Rasa is preferred by developers wanting full data control when developing on-premise bots. The platform is also open for use to create custom NLP bots as well as privacy-focused apps. 

This platform is ideal for budding and scaling businesses that want to train their models on their datasets. The platform is also known to offer flexibility and no-vendor lock-in, making it ideal for non-techies as well.

Also Read: Top 15 Frontend Development Frameworks

6. Botpress

With a modular framework, Botpress works best for mid-sized teams, developers, and businesses with open-source freedom. Botpress contains a visual editor workflow and supports NLP for hybrid bot development. 

Botpress has easy on-premise hosting services with an active community to always provide help when needed. An analytics dashboard allows businesses to keep track of the progress and competitive market for scalability.

7. Landbot

Marketers looking for a bot to support their marketing strategies while offering landing page experiences, Landbot is the only framework they need. With less to no code needed, a bot can be seamlessly and effortlessly created with Landbot that interacts with the marketing team. This framework gives you an interactive & compelling UI/UX with a drag & drop interface. The conditional logic flow of Landbot allows you to create web as well as WhatsApp bots that resonate with your business.

8. ManyChat

A perfect framework to create a perfect social media chatbot. The ManyChat platform is ideally used for developing bots for Facebook Messenger, WhatsApp, Instagram, and more. The platform offers integrated marketing flows, eCommerce, and CRM, which allow businesses and creators to do social commerce or seamlessly engage customers or capture leads, or automate DMs. 

The small and budding businesses that do not want to invest much in developing a bot make ManyChat a perfect platform with no code builder functionality.

9. Tidio 

An all-in-one chatbot creating platform, Tidio is best for small businesses that are expanding their customer base online. This chatbot development platform contains pre-built templates that make the bot easy to work across platforms like Messenger, Email, Instagram, and Web. 

Perfect for eCommerce store owners, Tidio offers CRM as well as analytics integration that allows for easy management of customers, daily orders, transactions, and much more.

10. Botkit

Botkit is a developer-centric chatbot SDK built on Node.js. The platform has a customizable middleware system that allows easy integration with major messaging platforms like Slack, Teams, Skype, and more. Botkit supports Microsoft’s bot framework ecosystem, rendering easy conversational flows for custom UI development.

11. Chatfuel

Another optimal chatbot development framework, Chatfuel, is an optimal and cost-effective platform to build chatbots. This bot-building system is efficient for both startups as well as enterprise-grade businesses looking for full control. 

A conversational flow allows a customized bot for automated responses, fusion with major platforms, all within $15 per month, and no code drama. Several pre-installed models and an analytical dashboard allow effortless use for even non-tech users.

12. Kore.ai

An enterprise-grade chatbot development platform, Kore.ai is most considered for businesses in the finance, healthcare, and HR sectors. This platform contains built-in advanced NLP, intent recognition, and virtual assistant features needed for managing complex and multi-channel tasks and customers. 

Additionally, with workflow automation and voice & text support, developers can build domain-specific bots. Kore.ai allows enterprises to develop bots with regulatory compliance and legacy system integration, which can be managed through a single dashboard. With free trial availability, the price of using and creating a bot using Kore.ai varies depending on the needs of the business and features integration.

13. SnatchBot

The only solution for businesses looking for quick bot development and deployment over multiple channels is SnatchBot. Preferred by small businesses and marketers, SnatchBot is a cloud-based bot development framework that requires no coding. 

The pre-built NLP engine, drag & drop interface, analytical dashboard, and voice support feature integration make bot development a piece of cake. Along with development, SnatchBot’s built bot can be deployed on omnichannel like Slack, Facebook, Telegram, Web, and more. SnatchBot is open to use a well as has pro plans starting from $30 per month.

14. ChatBot.com (by LiveChat)

ChatBot.com is an absolute no-code visual chatbot builder for enhancing customer support workflows. The platform is used mostly by those already using LiveChat. However, its much advanced features include reporting tools, visual drag & drop interface, testing tools, and livechat integration. 

ChatBot developed bot can be easily integrated with Slack, Zapier, WordPress, Messenger, and more. Developing a bot with this platform starts with $52 per month with a free 14-day trial service. 

15. Pandorabots

Another perfected platform for developing conversational AI, Pandorabots has been used to develop a Loebner award-winning bot – Mitsuku/Kuki. Bots developed on Pandorabots offer fine-grained control with real-time chat training, flexible scripting, and hosting options.  

With Pandorabots, businesses & developers can create AI conversational experiments or personality-rich bots using paid plans starting with $19 per month. Bots developed here can be deployed on the web, mobile, VR, and even IoT.

Read More: 15+ Best iOS App Development Frameworks

Best Open Source Chatbot Development Frameworks

Here’s a complete, well-structured breakdown covering the best open-source chatbot development frameworks in 2025. These platforms are ideal for developers who want control, flexibility, data ownership, and custom AI logic.

Framework	Language	Key Features	Best Use Cases	GitHub/Link
ChatterBot	Python	– Easy to train with your own data- Plug-and-play NLP- Lightweight	– Prototypes- Small biz bots- Learning bots	ChatterBot
DeepPavlov	Python (TensorFlow)	– Pretrained NLP models- Dialog flow modeling- Supports BERT	– Research bots- Educational assistants- NLP experimentation	DeepPavlov
OpenDialog AI	PHP + Node.js	– Visual conversation designer- Context-first engine- Custom workflows	– Legal bots- Insurance bots- Multilingual enterprise bots	OpenDialog AI
Tock	Kotlin + Java	– Omnichannel support- Built-in NLU/NLP- Scenario-based conversation UX	– Telecom bots- Public sector- Banking and CX	Tock
Floy (FlowiseAI)	Node.js	– Visual LLM-based builder- Built on LangChain- Drag-and-drop pipelines	– Document Q&A- GPT chatbots- Internal AI agents	Flowise

Emerging Trends in Chatbot Development Frameworks

Chatbots will continue to grow from being conversational AI to handling tasks like lead generation, strategies, and more. However, their development goes beyond that, and we have the predicted trends in chatbots aligned below.

1. Multimodal Bots

The next level bots will go is the integration of images, videos, and documents (for instance, offering visual setup steps). These integrations with a bot will allow them to have richer and better conversations with customers. 

2. Autonomous AI Agents

People now want chatbots to do more than conversing, they want them to be more productive. Hence, frameworks are moving towards autonomous agents to plan, decide, and then execute multi-step tasks. For instance, Auto-GPT integrations with BotPress or other frameworks.

3. LLM Enhanced Chatbots

To make chatbots smarter and quicker in response, LLMs are being integrated. With LLMs like LLaMA, Google Gemini, and Mistral, these bots will generate the ability to summarize, understand, and reason with customers.

Learn More: Low-Code vs. No-Code Development: Key Differences and Benefits

4. Low Code/No Code and Open Source Fusion

Many frameworks like FlowiseAI and Botpress have started offering visual builders for customization. These frameworks leverage developers to inject the open-source bots code, making it more accessible to the product teams.

5. Confidentiality & On-Premise Models

Even though advances have been made to reinstate custom software development services in the open-source pre-built code, privacy remains the biggest concern. Data sensitivity and confidentiality remain a focal point when adopting frameworks, especially in finance, healthcare, and the government sector. 

Use Cases and Industry Adoption

Industry	Use Cases
Healthcare	Appointment scheduling, symptom checking, and patient onboarding
Banking	Loan eligibility bots, account inquiries, and fraud detection
eCommerce	Personalized product suggestions, order tracking, and abandoned cart recovery
Customer Support	24/7 ticket resolution, multilingual support, live chat escalation
HR & Internal Ops	Employee onboarding bots, leave requests, and an internal knowledge base assistant
Education	Course recommendation bots, student support, quiz/chat tutors
Logistics	Shipment tracking, delivery status bots, and delay notifications

How to Choose the Right Chatbot Development Framework

Selecting the right platforms depends on a lot of aspects. Business goals, domain, technical expertise, budget, and expected chatbot capabilities are a few factors that should be taken into consideration when picking the right framework as well as an AI chatbot development company.

For multi-turn, contextual dialogues, and handle complex conversations, Rasa, Tock or OpenDialog should be kept in mind. On the other hand, if you want swift deployment and market, you can pick Floy or ChatterBot.

If you are looking for visual builders and omnisupport, Botpress, OpenDialog, or Floy for visual flow editing, and Tock or Microsoft Bot framework for cross-platform deployment. 

If you want to have data privacy and an expert developer, then you must pick self hosted frameworks like DeepPavlov, Rasa, or OpenDialog and Chatterbot or Tock for expert check. For AI/ML capabilities, pick DeepPavlov or Floy (FlowiseAI) with LLM/NLP support.

Final Words

The chatbot landscape in 2025 is dynamic, open, and AI-augmented, with frameworks ranging from lightweight Python-based tools to enterprise-grade omnichannel platforms. The best chatbot framework for your project will depend on:

• Your technical stack
• Desired deployment control
• AI complexity and NLP needs
• Integration and UX flexibility

Whether you’re building a simple support bot or an AI-driven assistant with LLMs, the open-source community offers powerful frameworks that put control, innovation, and scalability in your hands.

Frequently Asked Questions (FAQs)