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Comparison

transformers vs RasaGPT

Verdict

Pick transformers if transformers is a Python library that supports state-of-the-art machine learning models for text, vision, audio, and multimodal tasks, offering both training and inference capabilities; pick RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.

Markdown twin · transformers alternatives · RasaGPT alternatives

GraphCanon updated Sep 20, 2026

7views this month

transformers logo

transformers

huggingface/transformers

★ 166kpushed Sep 18, 2026
vs
RasaGPT logo

RasaGPT

paulpierre/RasaGPT

★ 2.5kpushed Nov 12, 2025

Trust & integrity

SignaltransformersRasaGPT
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (299d since push)
As of Sep 8, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 8, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
transformers trust reportRasaGPT trust reportTrust methodology

Tagline

transformers
🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models
RasaGPT
First headless LLM chatbot platform built on top of Rasa and Langchain

Stars

transformers
166k
RasaGPT
2.5k

Forks

transformers
35k
RasaGPT
250

Open issues

transformers
2.4k
RasaGPT
57

Language

transformers
Python
RasaGPT
Python

Adopt for

transformers
Transformers is a Python library that supports state-of-the-art machine learning models for text, vision, audio, and multimodal tasks, offering both training and inference capabilities.
RasaGPT
RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.

Persona

transformers
-
RasaGPT
-

Runtime

transformers
-
RasaGPT
-

License

transformers
Apache-2.0
RasaGPT
MIT

Last pushed

transformers
Sep 18, 2026
RasaGPT
Nov 12, 2025

Categories

transformers
Computer Vision, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
RasaGPT
AI Agents, Inference & Serving, Model Training

Trust and health

Maintenance

transformers
Very active (96%)
RasaGPT
Slowing (36%)

Days since push

transformers
0d
RasaGPT
299d

Open issues (now)

transformers
2.4k
RasaGPT
57

Stars delta

transformers
+2.2k (30d)
RasaGPT
-1 (30d)

Open issues delta

transformers
+31 (30d)
RasaGPT
0 (30d)

Owner type

transformers
Organization
RasaGPT
User

Full report

transformers
Trust report
RasaGPT
Trust report

Shared compatibility

  • Python · transformers: Python runtime · RasaGPT: Python runtime

Choose transformers if…

  • License: transformers is Apache-2.0, RasaGPT is MIT.
  • Requirements: Min 4 GB RAM; Ensure you have Python 3.10+ and PyTorch 2.5+ installed.; Consider using a virtual environment for isolated package management..
  • Tags unique to transformers: audio, deep-learning, machine-learning, natural language processing.
  • Also covers Computer Vision, LLM Frameworks, Speech & Audio.
  • When you need a comprehensive library that supports a wide range of tasks including text, vision, audio, and multimodal models.

When NOT to use transformers

  • If your project requires a different deep learning framework that is not PyTorch, as Transformers is tightly integrated with PyTorch.
  • When you are working with Python versions older than 3.10, as the library does not support earlier versions.
  • If you need a tool that focuses solely on a specific domain like text or vision, as Transformers is a general-purpose library that might introduce unnecessary complexity.
GitHubDetails

Choose RasaGPT if…

  • License: RasaGPT is MIT, transformers is Apache-2.0.
  • Tags unique to RasaGPT: ai, chatbot, fastapi, langchain.
  • Also covers AI Agents.
  • RasaGPT ships Docker support for self-hosted deployment.
  • When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.

When NOT to use RasaGPT

  • For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions.
  • Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
GitHubDetails

Explore

transformers trust report →RasaGPT trust report →Computer Vision category →Inference & Serving category →LLM Frameworks category →Model Training category →Speech & Audio category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: transformers 166k · RasaGPT 2.5k (synced Sep 20, 2026).

Common questions

What is the difference between transformers and RasaGPT?
transformers: 🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models. RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. See the comparison table for live GitHub stats and shared categories.
When should I choose transformers over RasaGPT?
Choose transformers over RasaGPT when License: transformers is Apache-2.0, RasaGPT is MIT; Requirements: Min 4 GB RAM; Ensure you have Python 3.10+ and PyTorch 2.5+ installed.; Consider using a virtual environment for isolated package management.; Tags unique to transformers: audio, deep-learning, machine-learning, natural language processing; Also covers Computer Vision, LLM Frameworks, Speech & Audio; When you need a comprehensive library that supports a wide range of tasks including text, vision, audio, and multimodal models.
When should I choose RasaGPT over transformers?
Choose RasaGPT over transformers when License: RasaGPT is MIT, transformers is Apache-2.0; Tags unique to RasaGPT: ai, chatbot, fastapi, langchain; Also covers AI Agents; RasaGPT ships Docker support for self-hosted deployment; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.
When should I avoid transformers?
If your project requires a different deep learning framework that is not PyTorch, as Transformers is tightly integrated with PyTorch. When you are working with Python versions older than 3.10, as the library does not support earlier versions. If you need a tool that focuses solely on a specific domain like text or vision, as Transformers is a general-purpose library that might introduce unnecessary complexity.
When should I avoid RasaGPT?
For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
Is transformers or RasaGPT more popular on GitHub?
transformers has more GitHub stars (166,279 vs 2,463). Stars measure visibility, not whether either tool fits your constraints.
Are transformers and RasaGPT open source?
Yes - both are open-source projects on GitHub (transformers: Apache-2.0, RasaGPT: MIT).
Where can I find alternatives to transformers or RasaGPT?
GraphCanon lists graph-backed alternatives at transformers alternatives and RasaGPT alternatives (transformers markdown twin, RasaGPT markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, transformers or RasaGPT?
transformers: Very active. RasaGPT: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for transformers and RasaGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: transformers trust report; RasaGPT trust report.

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