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metadata
license: cc-by-4.0
pretty_name: The LLMOps Stack 2026  OpenTelemetry, self-host & pricing models
language:
  - en
tags:
  - lattice
  - first-party-data
  - doi
  - ai-tools
source_datasets:
  - original

The LLMOps Stack 2026 — OpenTelemetry, self-host & pricing models

First-party research dataset from the Lattice network, published open under CC-BY 4.0 with a permanent DOI. Nothing here is scraped from another dataset — it is computed and published under a single ORCID-verified byline.

DOI 10.5281/zenodo.20738671
Published by Nesyona (nesyona.com)
Study page https://nesyona.com/research/llmops-stack-comparison-2026/
Licence CC-BY 4.0 — reuse freely with attribution
Publication date 2026-05-09

What it is

A structured comparison of 19 production LLM-operations tools across four stack layers (gateway/routing, observability/tracing, evaluation/testing, guardrails/safety) on five interoperability and cost dimensions: OpenTelemetry-native support, self-host availability, open-source licensing, pricing model, and whether evaluation and guardrails are built in. Compiled vendor-neutral with conflict disclosure; each cell read from the tool's own documentation, repository, or pricing page. Methodology and full sourcing at https://nesyona.com/research/llmops-stack-comparison-2026/ . License CC-BY 4.0.

Citation

@dataset{llmops_stack_comparison_2026,
  title  = {The LLMOps Stack 2026 — OpenTelemetry, self-host & pricing models},
  author = {Couey, Vincent Wesley},
  year   = {2026},
  doi    = {10.5281/zenodo.20738671},
  url    = {https://doi.org/10.5281/zenodo.20738671}
}

Provenance

Part of the Lattice open research index — every study is CC-BY, DOI-backed and published under one byline. The full index: https://www.deepsynthesis.org/#research