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nvidia-nat-eval

Subpackage for evaluation in NVIDIA NeMo Agent Toolkit

With conditionsPyPI Artificial IntelligenceReleased Jun 2026171.4K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — nvidia_nat_eval-1.8.0-py3-none-any.whl
v1.8.0 · released 2026-06-17 · Python <3.14,>=3.11 · 1 runtime deps: nvidia-nat-atif

Yes, if you are building or testing agents within the NVIDIA NeMo Agent Toolkit ecosystem. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. Install only if you need evaluation capabilities; it is a specialized subpackage.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later (3.11, 3.12, or 3.13 supported)
  • Low install friction with a single runtime dependency on nvidia-nat-atif.
  • Actively maintained with recent commits and part of a popular toolkit (2576 GitHub stars).

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.

last release 2026-06-17 (58 days) · last repo commit 2026-08-12 · 2,576 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 171,435 downloads/mo, #10,366 on PyPI

Verify before relying

pip install nvidia-nat-eval

import nat.plugins.eval
  • What specific evaluation metrics or methodologies the package implements
  • Whether evaluation components work standalone or require other toolkit packages
  • What CLI commands are available and their typical use patterns
  • How the nat.plugins.eval namespace integrates with broader toolkit workflows
Same gist for agents: .md · .json

What it is and what it does

nvidia-nat-eval is a subpackage of the NVIDIA NeMo Agent Toolkit that adds evaluation capabilities for testing and assessing agent systems. It provides evaluation-specific components accessible through the nat.plugins.eval namespace, along with command-line tools for running evaluations. The package depends on nvidia-nat-atif as its sole runtime dependency.

This package targets developers building or testing AI agents, particularly those using retrieval-augmented generation patterns. It supports Python 3.11, 3.12, and 3.13, with active maintenance as of August 2026.

Use it for

  • Evaluate agent response quality in RAG-based systems during development
  • Run CLI-based evaluation workflows as part of agent testing pipelines
  • Assess agent behavior and performance metrics during iteration
  • Integrate evaluation checks into validation workflows

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building or testing agents within the NVIDIA NeMo Agent Toolkit ecosystem.

The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. Install only if you need evaluation capabilities; it is a specialized subpackage.

Install

nvidia-nat-eval on PyPI

Before you install

Low install friction with a single runtime dependency on nvidia-nat-atif. Actively maintained with recent commits and part of a popular toolkit (2576 GitHub stars).

Requires Python 3.11 or later (3.11, 3.12, or 3.13 supported)

License in practice

Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.

Quickstart

pip install nvidia-nat-eval

import nat.plugins.eval

Verify before relying

  • What specific evaluation metrics or methodologies the package implements
  • Whether evaluation components work standalone or require other toolkit packages
  • What CLI commands are available and their typical use patterns
  • How the nat.plugins.eval namespace integrates with broader toolkit workflows

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <3.14,>=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
nvidia-nat-atif
MaintenanceActively maintained 58 days since the last release
Last repo commit
First released
Downloads171,435 / month, #10,366 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Programming Language :: PythonProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13

Evidence: nvidia_nat_eval-1.8.0-py3-none-any.whl

Tags

Capabilities
agent evaluation frameworknemo toolkit evaluationai agent testing toolsrag evaluationagent performance assessment
Topics
agent-evaluationnemo-toolkitrag-systems
PyPI keywords
airagagentsevaluation

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See also nv-ingest-client · nvidia-nat-atif · nvidia-nat-langchain · nvidia-nat-opentelemetry · nvidia-nat-core · nvidia-nat-mcp · nemo-relay · nvidia-lm-eval · nvidia-nat · nemo-evaluator

Further reading