Top 10 Best Network Automation Software of 2026

Infoblox tracks authoritative DNS zones, DHCP scopes, and IP address assignments in a unified source of truth. The product connects these objects to automation workflows so record creation, updates, and deletions propagate through configured rules. Its integration surface includes APIs and import and synchronization paths that allow other systems to drive provisioning without scraping internal objects.

A tradeoff appears when automation needs heavy device-by-device orchestration rather than central name and address services. Teams get the strongest payoff when reconciliation is anchored to the IPAM and DNS workflows, such as onboarding sites, deploying new subnets, or rotating resolver and failover records.

Gluware fits teams building repeatable network change processes where configuration requests must become auditable actions with controlled rollout. Its automation surface is oriented around API integration and orchestration hooks that allow external systems to trigger provisioning and validate outcomes. The tool’s governance posture shows up in its emphasis on change windows, pre-change checks, and post-change verification workflows for multi-device operations.

A practical tradeoff is that Gluware requires upfront mapping of inventories and device behaviors so automation can normalize intent to vendor-specific outcomes. Gluware works best when network changes follow an infrastructure-as-code style pipeline that already manages approvals and baselines, then hands validated tasks to Gluware for orchestration.

Forward Networks is positioned for network teams that need repeatable change execution rather than ad hoc device scripting. Configuration is driven from centralized definitions and then pushed through vendor-aware southbound adapters. Verification follows the change with checks that validate intended outcomes and surface mismatches.

A key tradeoff appears in governance overhead, because consistent success depends on defining baselines and maintaining source-of-truth inputs. Forward Networks fits change-window scheduling for multi-site rollouts where rollback automation and closed-loop assurance reduce downtime risk.

Itential targets network automation with controller-driven orchestration that ties together intent-like workflows and device actions. Its integration surface centers on connectors, REST APIs, and automation logic to coordinate provisioning, validation, and remediation across multi-vendor environments.

Governance is handled through role-based access controls and audit-oriented operational workflows, which helps teams keep changes traceable. The platform is best judged by how well it models pre-change checks, post-change verification, and rollback paths inside reusable automation runs.

NetBrain automates network assurance by turning live device data into actionable change workflows that include discovery, validation, and verification. Its core capabilities cover topology discovery, dependency mapping, and intent-driven runbooks that generate pre-change checks and post-change confirmation steps.

NetBrain also supports multi-vendor normalization of operational data so teams can reason about impact across heterogeneous network estates. Automation is delivered through a mix of scheduled jobs, workflow logic, and an API surface for integrating the assurance loop into existing operations tooling.

NAPALM is a network automation solution that focuses on Python-driven device configuration and verification using vendor-supported network command sets. It provides idempotent-style workflows through structured device operations like facts collection and config diffing, which supports declarative intent paired with imperative execution.

Multi-vendor normalization is achieved through protocol-specific drivers, and automation can be integrated into existing infrastructure-as-code pipelines. Extensibility is delivered via Python modules that wrap device interactions, with an API surface designed for orchestration engines to call directly.

Salt Project uses a Python-driven automation engine with declarative state files and a job system designed for large-scale configuration management across many hosts. It includes a documented API for managing job execution and returning results, plus extensibility through custom execution modules and state modules.

Salt’s integration patterns support inventory-driven targeting, remote command execution, and state-based reconciliation for repeatable changes. Compared with Git-based orchestrators alone, Salt focuses on closed-loop operation using event-driven returns and structured outputs.

Progress Chef, delivered through chef.io, focuses on configuration automation and desired-state workflows for infrastructure and network devices. The distinguishing element is its policy-driven model where cookbook content and node attributes feed idempotent runs that can be tied into change windows.

Chef Server and the Chef Automate stack support environment separation and audit-friendly run history that helps track what configuration was applied and when. Network automation coverage depends on supported device integration paths and the available Chef resources for each vendor and platform.

Cisco NSO executes intent-driven network changes by converting declarative service definitions into coordinated device configuration actions. It supports multi-vendor automation through a southbound adapter model and uses NETCONF and RESTCONF style connectivity for pushing configuration.

NSO then wraps those operations with pre-change validation, post-change verification, and rollback planning for repeatable provisioning workflows. Its northbound interfaces and extensibility let teams integrate service orchestration into existing automation pipelines.

Juniper Apstra targets intent-based networking with a declarative approach to design, provisioning, and ongoing assurance for network infrastructure. It builds a closed-loop workflow around a topology and policy-driven configuration model, then automates device configuration using controller logic rather than ad hoc scripts.

Core capabilities include automated fabric and policy provisioning, config validation against a golden baseline, and reconciliation workflows that detect drift and drive corrective actions. API-driven integration supports automation pipelines that need repeatable changes with pre-change checks and post-change verification.