Flowise vs Modal vs OpenAI Swarm vs Rasa

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

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

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...

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...

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...

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...

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