DeepYard

Botpress vs Rasa

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Botpress suits teams needing freemium free tier, typescript focus, and 14,874 GitHub stars in current listing data. Rasa suits teams needing freemium $35, python focus, and 21,301 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
B

Botpress

Conversational agent builder with visual flow editor and LLM integration

OSSfreemium
14.9K8.0K/wtoday75
R

Rasa

On-premise conversational AI framework for enterprise virtual assistants

OSSfreemium
21.3K400.0K/w4w ago298
MetricBotpressRasa
GitHub Stars14.9K21.3K
Contributors75298
Last CommitAug 21, 2026Jul 24, 2026
Open Issues54153
Licenseopen-sourceopen-source
Pricingfreemiumfreemium
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Botpress if you need

  • Botpress stands out for Typescript workflows that are not listed for Rasa.
  • Botpress is the stronger pick when Visual Flow matters because that capability is listed only on its profile.
  • Botpress is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.

Choose Rasa if you need

  • Rasa stands out for Python workflows that are not listed for Botpress.
  • Rasa is the stronger pick when Nlu matters because that capability is listed only on its profile.
  • Rasa shows broader GitHub adoption with 21,301 stars versus 14,874 for Botpress.

Meaningful differences

  • Pricing model: Botpress is listed as freemium from Free tier, pay per usage, while Rasa is listed as freemium from From $35K/yr (Enterprise).
  • Workflow emphasis: Botpress highlights Typescript, while Rasa highlights Python.
  • GitHub adoption: Botpress shows 14,874 stars versus 21,301 for Rasa.
  • Contributor count: Botpress lists 75 contributors and Rasa lists 298.

Shared capabilities

  • Conversational Ai
  • Nlu
  • Open Source

Shared Tags

conversational-ainluopen-source

Only in Botpress

visual-buildertypescriptmulti-channel

Only in Rasa

enterpriseon-premisepython

Limitations and evidence

  • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

About Botpress

Botpress is a platform for building conversational AI agents with a visual flow editor and full-code SDK. It provides built-in NLU, knowledge base integration, multi-channel deployment (web, WhatsApp, Slack, Teams), and LLM-powered autonomous agent capabilities. Supports both cloud and self-hosted deployment.

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About Rasa

Rasa is an open-source conversational AI framework for building enterprise-grade virtual assistants and chatbots. It provides NLU, dialogue management, and LLM integration with full on-premise deployment support. Rasa focuses on regulated industries that need data privacy, compliance, and control over their AI infrastructure.

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