Entry format: * [rasa](https://github.com/RasaHQ/rasa) - Open source machine learning framework to automate text- and voice-based conversations.
Description is concise and short
Why This Project Is Awesome
Industry Standard - The go-to tool for a specific use case
Explain:
Rasa is the foundational open-source framework for building enterprise-grade conversational AI and complex dialogue management systems in Python. With over 21k stars and a vast ecosystem, it is the primary professional alternative to proprietary NLU services, offering full data sovereignty and deep machine-learning-based dialogue control.
How It Differs
While the current list includes excellent general-purpose NLP libraries like spaCy or nltk, Rasa is unique because it provides a dedicated, high-level framework for Dialogue Management. Unlike ChatterBot, which focuses on simpler response matching, Rasa uses a sophisticated machine-learning approach (via Stories and Rules) to handle multi-turn, contextual conversations and complex business logic in production environments.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2866
**Author:** [@leftkats](https://github.com/leftkats)
**Created:** 1/18/2026
**Status:** ✅ Merged
**Merged:** 1/19/2026
**Merged by:** [@JinyangWang27](https://github.com/JinyangWang27)
**Base:** `master` ← **Head:** `add/rasa`
---
### 📝 Commits (2)
- [`0cc8317`](https://github.com/vinta/awesome-python/commit/0cc831720bf3c5dfacef110061ef7eeba9f9b0c4) feat: rasa
- [`f620d92`](https://github.com/vinta/awesome-python/commit/f620d92fd93802f8957d3c9c575baa92f2813630) fix: move rase to ML section
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Project
[Rasa](https://github.com/RasaHQ/rasa)
## Checklist
- [x] One project per PR
- [x] PR title format: `Add rasa`
- [x] Entry format: `* [rasa](https://github.com/RasaHQ/rasa) - Open source machine learning framework to automate text- and voice-based conversations.`
- [x] Description is concise and short
## Why This Project Is Awesome
- [x] **Industry Standard** - The go-to tool for a specific use case
Explain:
Rasa is the foundational open-source framework for building enterprise-grade conversational AI and complex dialogue management systems in Python. With over 21k stars and a vast ecosystem, it is the primary professional alternative to proprietary NLU services, offering full data sovereignty and deep machine-learning-based dialogue control.
## How It Differs
While the current list includes excellent general-purpose NLP libraries like `spaCy` or `nltk`, Rasa is unique because it provides a dedicated, high-level framework for **Dialogue Management**. Unlike `ChatterBot`, which focuses on simpler response matching, Rasa uses a sophisticated machine-learning approach (via Stories and Rules) to handle multi-turn, contextual conversations and complex business logic in production environments.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2866
Author: @leftkats
Created: 1/18/2026
Status: ✅ Merged
Merged: 1/19/2026
Merged by: @JinyangWang27
Base:
master← Head:add/rasa📝 Commits (2)
0cc8317feat: rasaf620d92fix: move rase to ML section📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Project
Rasa
Checklist
Add rasa* [rasa](https://github.com/RasaHQ/rasa) - Open source machine learning framework to automate text- and voice-based conversations.Why This Project Is Awesome
Explain:
Rasa is the foundational open-source framework for building enterprise-grade conversational AI and complex dialogue management systems in Python. With over 21k stars and a vast ecosystem, it is the primary professional alternative to proprietary NLU services, offering full data sovereignty and deep machine-learning-based dialogue control.
How It Differs
While the current list includes excellent general-purpose NLP libraries like
spaCyornltk, Rasa is unique because it provides a dedicated, high-level framework for Dialogue Management. UnlikeChatterBot, which focuses on simpler response matching, Rasa uses a sophisticated machine-learning approach (via Stories and Rules) to handle multi-turn, contextual conversations and complex business logic in production environments.🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.