DeepYard

Activepieces vs LlamaIndex

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. LlamaIndex suits teams needing open-source access, data framework focus, and 51,792 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
L

LlamaIndex

Data framework for LLM applications — RAG, agents, and workflows — 47K+ stars

OSSFree
51.8K2d ago475
MetricActivepiecesLlamaIndex
GitHub Stars24.0K51.8K
Contributors355475
Last CommitAug 21, 2026Aug 20, 2026
Open Issues489651
Licenseopen-sourceopen-source
Pricingfreemiumopen-source
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Choose Activepieces if you need

  • Activepieces stands out for Automation workflows that are not listed for LlamaIndex.
  • Activepieces is the stronger pick when Slack matters because that capability is listed only on its profile.
  • Activepieces is the cleaner fit if you specifically need Automation workflows from the catalog tags.

Choose LlamaIndex if you need

  • LlamaIndex stands out for Data Framework workflows that are not listed for Activepieces.
  • LlamaIndex is the stronger pick when Gemini matters because that capability is listed only on its profile.
  • LlamaIndex shows broader GitHub adoption with 51,792 stars versus 23,974 for Activepieces.

Meaningful differences

  • Pricing model: Activepieces is listed as freemium, while LlamaIndex is listed as open-source.
  • Workflow emphasis: Activepieces highlights Automation, while LlamaIndex highlights Data Framework.
  • GitHub adoption: Activepieces shows 23,974 stars versus 51,792 for LlamaIndex.
  • Contributor count: Activepieces lists 355 contributors and LlamaIndex lists 475.

Shared capabilities

  • Openai
  • Anthropic

Shared Tags

No shared tags

Only in Activepieces

automationno-codeworkflowmcpzapier-alternativeintegrationstypescript

Only in LlamaIndex

ragdata-frameworkagentsworkflowspythonopen-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.

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 LlamaIndex

LlamaIndex is the leading data framework for building LLM-powered applications. Provides data connectors for 160+ sources, advanced RAG pipelines, document agents, and a workflow engine for complex agentic applications. The standard for connecting LLMs to your data.

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