RasaHQ/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 663 days ago, with 298 contributors on GitHub.
Use Cases & Benefits
- Automates text and voice-based conversations using machine learning for natural language understanding and dialogue management.
- Enables building contextual assistants that maintain layered, scalable conversations across multiple messaging and voice platforms.
- Use for creating chatbots integrated with platforms like Slack, Facebook Messenger, and Telegram to automate customer support.
- Use for developing voice assistants compatible with Alexa Skills and Google Home Actions for hands-free user interaction.
- Use for building custom conversational AI solutions that require context-aware dialogue management and multi-turn conversation handling.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
💡 We're migrating issues to Jira 💡
Starting January 2023, issues for Rasa Open Source are located in this Jira board. You can browse issues without being logged in; if you want to create issues, you'll need to create a Jira account.
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants on:
Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way.
There's a lot more background information in this blog post.
There is extensive documentation in the Rasa Docs. Make sure to select the correct version so you are looking at the docs for the version you installed.
Please use Rasa Community Forum for quick answers to questions.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
4.9K-9
Open issues
160+8
Compared with peers in Automation
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| superplanehq/superplane | 9.8K | +1.0K | 75 | 13 days ago |
| gosom/google-maps-scraper | 7.9K | +622 | 75 | 2 days ago |
| RasaHQ/rasa | 21.4K | — | 45 | 663 days ago |
| Category median | 21.4K | +3.8K | 75 | — |
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