Top 5 Best API Tank Design Software of 2026

AutoPIPE is built for piping stress analysis where static load, thermal expansion, and support restraints must be evaluated together to determine whether piping and nozzles meet design acceptance. It supports common piping design data flows such as defining systems, assigning materials, creating load cases, running analysis, and producing reports and drawings that can be coordinated with broader plant deliverables.

A key tradeoff is that AutoPIPE optimizes around piping analysis rather than full tank shell and roof structural design, so tank civil or shell course design usually needs a separate tank design workflow. AutoPIPE fits best when piping tie-ins, nozzle loads, and stress-driven changes must be iterated quickly across multiple design options for the same tank interface.

RiloTank 3D fits engineering teams that need repeatable tank deliverables from structured inputs, not just geometry editing. The workflow is centered on generating tank design output consistently from predefined design choices like roof type, shell layout, and component sizing, which reduces variation across projects. The integration story is strongest when RiloTank 3D is treated as a callable design engine where an API can drive provisioning and fetch generated artifacts in a controlled sequence. API-centric teams also benefit from using a sandboxed workflow to validate configuration sets before production runs.

A key tradeoff is that tank-specific configuration can be less flexible for atypical geometries that fall outside the supported design patterns. RiloTank 3D works best for projects where the team needs to regenerate bill of materials and drawings after design changes through an automated loop. Manual CAD remodeling may still be required when stakeholders want departures from the tool’s modeled assumptions.

SMARTANK is used when engineering teams need repeatable tank geometry and design calculations driven by a controlled set of parameters. The API surface supports submission of design inputs and retrieval of generated results, which fits batch generation of multiple design cases and configuration-driven revisions. Core coverage maps to practical tank deliverables like tank shell sizing, roof and bottom design logic, and nozzle-level design outputs that engineering systems can consume.

A key tradeoff is that SMARTANK’s design workflow is strongest for parameter-driven engineering runs, while fully interactive CAD modeling still depends on separate CAD tools. Teams typically use it when they need integration depth with internal software that manages project data, drawing templates, and approvals.

TANK by Hexagon applies engineering automation to atmospheric and low-pressure storage tank design, with calculation workflows that feed engineering outputs instead of isolated spreadsheets. It supports tank shell, roof, and nozzle sizing activities while producing design deliverables like drawings and bill of materials.

The solution integrates design execution with model reuse across revisions, which helps teams manage throughput from concept sizing through documentation. For API-driven work, it aligns design calculations and documentation steps to standard practice so teams can keep assumptions consistent across projects.

TANK by Codeware turns tank design inputs into structured, standards-oriented calculation outputs and review-ready design drawings. The product focuses on API tank design workflows that feed geometry, thicknesses, and component sizing into downstream documentation.

Its distinct angle is an automation-first approach that exposes an API surface for embedding design calculations into external tools and processes. That shape fits teams that need repeatable generation of bill of materials and drawing sets across multiple projects.