Comparison

Haystack vs LangSmith

On the evidence we track, Haystack leads this comparison with a composite score of 66/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Haystack66
LangSmith52
Score
vioscaleAI score
Haystack66 / 100medium · 68%
LangSmith52 / 100low · 12%
Pricing
Free tier
Haystack✓
LangSmith–
Model
Haystackfreemium
LangSmith–
Price level
Haystacklow
LangSmith–
Transparent
Haystack✗
LangSmith–
Integrations
Count
Haystack9
LangSmith–
Reliability
Status page
Haystack–
LangSmith✓
Adoption
Dependent repos
Haystack237
LangSmith–
Github stars
Haystack26,738
LangSmith–
Package downloads weekly
Haystack121,930
LangSmith–
Activity
Commits last 30d
Haystack100
LangSmith–
Release
Cadence days
Haystack2
LangSmith–
History
Haystack20 items
LangSmith–
License
Spdx
HaystackApache-2.0
LangSmith–
Language
Primary
HaystackPython
LangSmith–
Content
Faq
Haystack6 items
LangSmith4 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
HaystackEnd-to-end ML platform
LangSmithLLM observability / eval
Deployment
Self-hostable / OSS core
Haystack✓
LangSmith✗
Managed cloud available
Haystack✓
LangSmith✓
On-prem / VPC deployment
Haystack✓
LangSmith✗
Observability
LLM tracing / observability
Haystack✓
LangSmith✓
Evaluation (offline / LLM-judge / human)
Haystack✓
LangSmith✓
Dev
Prompt management + versioning
Haystack✓
LangSmith-
Tracking
Experiment tracking / model registry
Haystack-
LangSmith-
Serving
Model serving / inference endpoint
Haystack✓
LangSmith✗
Interop
OpenTelemetry / OpenLLMetry compatible
Haystack✓
LangSmith-
Framework-agnostic
Haystack✓
LangSmith✓
Gateway
Multi-provider model support
Haystack✓
LangSmith-
Data
No-train-on-customer-data guarantee
HaystackUnknown
LangSmith-

What each one is

The product in its own terms, so the numbers below have context.

Haystack

Leader

A Python-based orchestration framework for building production-ready AI applications with modular pipelines, agent workflows, and retrieval-augmented generation (RAG). Provides explicit control over retrieval, reasoning, memory, tools, and generation components, supporting everything from simple semantic search to complex multi-step agent systems.

Independently observed

LangSmith

LangSmith enables users to observe, evaluate, and deploy AI agents through a web interface that requires no coding. The platform provides tools for agent engineering and monitoring.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Haystack

Leader
HybridFree tier

Free open-source core with paid enterprise support available

  • Open SourceFree
  • EnterpriseContact sales
as of verify ↗

LangSmith

Pricing not documented yet.

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Haystack✓
LangSmith✓
CLI
Haystack✓
LangSmith✗
Deployment
Cloud / SaaS
Haystack✓
LangSmith✓
Self-hosted
Haystack✓
LangSmith✗
On-premise
Haystack✓
LangSmith✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Haystack

Leader
28 total
  • OpenAI
  • Anthropic
  • Mistral
  • Hugging Face
  • Weaviate
  • Pinecone
  • Elasticsearch
  • AstraDB
  • Apify
  • ReadMe
  • Azure OpenAI
  • Datadog
  • OpenTelemetry
  • SerperDev
  • SearchApi
  • Cohere
  • AWS Bedrock
  • FAISS
  • AWS SageMaker
  • OpenSearch
  • Google Colab
  • MCP servers
  • Amazon Bedrock
  • Claude
  • +4 more
Independently observed

LangSmith

Not documented yet.

Still deciding?

Haystack or LangSmith: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.