Modal vs Rasa vs OpenAI Swarm vs Flowise

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Modal Serverless GPU compute for AI workloads Visit Rasa Open-source framework for building production-grade conversational AI... Visit OpenAI Swarm OpenAI's experimental multi-agent framework Visit Flowise Open-source no-code LLM app builder Visit
RECATOOLS Score 7.8 / 10 7.3 / 10 4.9 / 10 7.5 / 10
Capability 8 8 5 7
Value for money 7 8 5 9
Ease of use 8 4 7 6
ASEAN readiness 5 6 5 7
API quality 8 8 4 7
Pricing Paid Open Source Open Source Open Source
Free tier Full open source framework for self-hosting Fully free self-hosted
Paid from Enterprise custom pricing
Has API
Open source
Free to use
Users 50000+ developers 30000+ GitHub stars
Founded 2021 2016 2024 2023
Maker Alan Nichol, Alex Weidauer Henry Heng, Chee Hau Tan
Verdict

Modal is a serverless compute platform built for AI and data workloads: you define functions in Python, decorate them, and Modal handles containerization, scheduling, GPUs, and autoscaling. Its strengths are developer ex...

Rasa is the established open-source framework for building custom conversational assistants, giving developers full control over dialogue logic, NLU and deployment, with its newer CALM approach blending LLMs for more nat...

Swarm was OpenAI's deliberately minimal, educational multi-agent framework demonstrating clean handoff and routine abstractions in under a thousand lines. Its ideas were influential and the codebase is still a good teach...

Flowise is a popular open-source, low-code platform for building LLM apps and agents visually — chaining models, vector stores, tools and memory on a drag-and-drop canvas, with LangChain/LlamaIndex under the hood. Its st...

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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.