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ITBench

itbench-hub/ITBench

An open source benchmarking framework for IT automation

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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506 stars48 forksLast push Sep 19, 2026 Jinja Apache-2.0

Decision brief

ITBench is suitable for teams seeking an open-source Python-based benchmarking framework designed specifically to evaluate the effectiveness of IT automation solutions.

Good fit when

  • When your team uses Python and needs a framework that allows precise control over IT automation testing scenarios
  • To integrate with existing CI/CD pipelines requiring open-source software under the Apache-2.0 license for compliance or preference

Avoid when

  • If you require integration support for languages other than Python, as ITBench's capabilities are specifically tied to this language
  • In environments where proprietary tools are preferred over open-source solutions due to existing software licensing policies

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/itbench-hub/ITBench

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

ITBench is an open-source tool designed to help in the benchmarking of IT automation solutions.

Capability facts

Languages
jinja, python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Tags

README

ITBench Paper Leaderboard Scenarios Agents Related Benchmarks How to Cite Contributors Contacts 📢 Announcements Latest Updates [May 27, 2026] Artificial Analysis and IBM Research launched ITBench AA , the first in a new series of benchmarks evaluating frontier models on agentic...

For agents

This page has a .md twin and JSON over the API.

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