DeepYard

Haystack vs Langflow

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

Direct Answer

Haystack suits teams needing open-source access, pipelines focus, and 26,274 GitHub stars in current listing data. Langflow suits teams needing open-source access, visual builder focus, and 153,543 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
H

Haystack

End-to-end LLM framework for building NLP and agent pipelines — 18K+ stars

OSSFree
26.3K600.0K/wtoday415
L

Langflow

Visual framework for building and deploying AI agents — 145K+ stars

OSSFree
153.5Ktoday351
MetricHaystackLangflow
GitHub Stars26.3K153.5K
Contributors415351
Last CommitAug 22, 2026Aug 22, 2026
Open Issues95968
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Haystack if you need

  • Haystack is the stronger pick when Pipelines matters because that capability is listed only on its profile.
  • Haystack has a larger visible contributor base (415 vs 351).
  • Haystack is the cleaner fit if you specifically need Pipelines workflows from the catalog tags.

Choose Langflow if you need

  • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
  • Langflow shows broader GitHub adoption with 153,543 stars versus 26,274 for Haystack.
  • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.

Meaningful differences

  • GitHub adoption: Haystack shows 26,274 stars versus 153,543 for Langflow.
  • Contributor count: Haystack lists 415 contributors and Langflow lists 351.

Shared capabilities

  • Python
  • Rag
  • Open Source

Shared Tags

pythonragopen-source

Only in Haystack

pipelinesagentsnlpproduction

Only in Langflow

visual-builderno-codemulti-agent

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 Haystack

Haystack by deepset is a Python framework for building production-ready LLM applications, RAG pipelines, and AI agents. It provides a composable pipeline architecture where components (retrievers, generators, rankers, agents) connect through a directed graph. Haystack supports all major LLM providers and vector databases, with strong emphasis on evaluation, testing, and production deployment.

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About Langflow

Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.

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