DeepYard

Activepieces vs Langfuse

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

Direct Answer

Activepieces suits teams needing freemium free tier, automation focus, and 23,974 GitHub stars in current listing data. Langfuse suits teams needing freemium free tier, observability focus, and 33,539 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
A

Activepieces

Open-source Zapier alternative with 280+ integrations and the largest MCP collection — 21K+ stars

OSSfreemium
24.0Ktoday355
Visit GitHub
L

Langfuse

Open-source LLM engineering platform — traces, evals, prompt management — 23K+ stars

OSSfreemium
33.5Ktoday196
Visit GitHub
MetricActivepiecesLangfuse
GitHub Stars24.0K33.5K
Contributors355196
Last CommitAug 21, 2026Aug 22, 2026
Open Issues489811
Licenseopen-sourceopen-source
Pricingfreemiumfreemium
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Choose Activepieces if you need

  • • Activepieces stands out for Automation workflows that are not listed for Langfuse.
  • • Activepieces is the stronger pick when Slack matters because that capability is listed only on its profile.
  • • Activepieces has a larger visible contributor base (355 vs 196).

Choose Langfuse if you need

  • • Langfuse stands out for Observability workflows that are not listed for Activepieces.
  • • Langfuse is the stronger pick when Langchain matters because that capability is listed only on its profile.
  • • Langfuse shows broader GitHub adoption with 33,539 stars versus 23,974 for Activepieces.

Meaningful differences

  • • Workflow emphasis: Activepieces highlights Automation, while Langfuse highlights Observability.
  • • GitHub adoption: Activepieces shows 23,974 stars versus 33,539 for Langfuse.
  • • Contributor count: Activepieces lists 355 contributors and Langfuse lists 196.

Shared capabilities

  • • Openai
  • • Anthropic

Shared Tags

No shared tags

Only in Activepieces

automationno-codeworkflowmcpzapier-alternativeintegrationstypescript

Only in Langfuse

observabilitytracingevaluationprompt-managementanalyticsopen-source

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.

Source links

Manifest content date: 2026-08-21

About Activepieces

Activepieces is an open-source workflow automation platform and Zapier alternative with a no-code visual builder, 280+ integrations (60% community-contributed), and the largest open-source MCP collection. All 280+ pieces are usable as MCP tools with Claude Desktop, Cursor, and Windsurf. Features loops, branches, auto-retries, native AI pieces, custom agent creation, TypeScript piece framework with hot-reloading, enterprise features (branding, approval workflows, human input via chat/forms), version control, and network-gapped deployment.

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About Langfuse

Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.

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