Terragrunt Alternatives: 6 Tools Compared for 2026
Terragrunt is a good initial solution when a team starts managing Terraform infrastructure at scale, but it has its limits. Most Terragrunt alternatives repackage the same wrapper; the ones worth your time either lean on what Terraform and OpenTofu already do natively or fix the state model that made wrappers necessary in the first place.
For infrastructure as code (IaC) teams, Terragrunt does three jobs at once: it keeps configuration DRY, it runs Terraform in dependency order across directories, and it papers over the fact that one state file isn't scalable. Teams look for a Terragrunt alternative when one of those jobs starts to cost more than it saves. The right replacement depends on which job that is.
This article sorts the options by each job that they take over from Terragrunt. You'll find orchestration frameworks that keep the many-small-states model, native Terraform and OpenTofu features that make a wrapper unnecessary for some teams, and Stategraph, which we build and which can run next to Terragrunt or instead of it.
We share the pros and cons for each. If you want our full argument about why Terragrunt was created in the first place, we've already made it in the Terragrunt was a band-aid article.
Why teams look for Terragrunt alternatives
Terragrunt is, understandably, a popular tool, with almost 10,000 stars on its GitHub repo.
It provides a solid feature set: Backend and provider config defined once and inherited everywhere, dependency blocks that wire outputs into inputs, and run --all to execute a stack in order are all features that teams build platforms around.
However, once your production setup gets more complex, you will encounter friction:
- A second configuration language (
terragrunt.hcl) sits on top of your HCL. - Dependencies resolve from applied state, so a first plan runs on
mock_outputs. - The number of units grows with every directory you create to keep blast radius small.
All these challenges are structural: orchestration lives outside the engine.
Terragrunt alternatives at a glance
GitHub star counts are as of September 30, 2026 (for reference, Terragrunt sits at 9,864).
| Tool | Category | Description | GitHub stars |
|---|---|---|---|
| Terramate | Orchestration tool | Git-aware stack orchestration and code generation that produces plain Terraform. | 3,633 |
| Atmos | Orchestration framework | YAML-driven stacks and components with dependency-ordered runs for Terraform and beyond. | 1,390 |
| Terraspace | Orchestration framework | A convention-heavy Ruby framework with tfvars layering and built-in testing. | 721 |
| Terraform workspaces | Native Terraform | Multiple states per configuration under a single backend, with no extra tooling. | 49,795 |
| OpenTofu | Native OpenTofu | An open-source fork that allows variables and locals in backend blocks. | 30,332 |
| Stategraph | State model | Graph-aware state in PostgreSQL with resource-level locks and multi-state transactions. | 1,286 |
The categories below are more important than the star ratings, because each tool serves a different purpose. The first three match Terragrunt's basic offering, the next two remove the need for a wrapper in narrower cases, and the last changes the thing being wrapped.
Orchestration wrappers and frameworks
These tools accept Terraform's one-state-per-root model and manage the resulting sprawl. If Terragrunt's config style is your only complaint, start here.
Terramate
Best for: Teams that want DRY configuration and change detection while keeping every file native Terraform or OpenTofu.
Terramate isn't a wrapper in the Terragrunt sense. It's a Go CLI that discovers stacks, uses Git to work out which ones a branch changed, and runs any command against them.
Its code generation turns hierarchical globals into ordinary HCL (e.g., backend blocks and provider setup), so what lands in your repository is plain Terraform files that run without the tool, and terraform validate checks them like anything hand-written.
It's easy to migrate on and off, a design choice Terramate leads with. Its docs include onboarding paths from Terraform, OpenTofu, and Terragrunt, which suits a gradual migration.
Features
- Dependency-aware execution with parallel runs and retries limited to failed stacks.
- Generation of any file type, not just HCL (YAML and JSON included).
- Integrations with OPA, Infracost, Checkov, and Trivy.
| Pros | Cons |
|---|---|
| Generated code is plain HCL, so removing the tool doesn't strand your infrastructure. | You still run many small states with one lock each. |
| Change detection keeps CI focused on stacks a pull request touched. | Generated files add review noise unless you're disciplined about them. |
| Previews, drift, and dashboards sit in Terramate Cloud rather than the CLI. |
Atmos
Best for: Platform teams that want one declarative configuration layer across Terraform, Helm, and other workloads.
Atmos, from Cloud Posse, models environments as YAML stacks that import shared catalogs and override only what changes, with components pointing at reusable root modules. It runs plans and applies in dependency order with bounded concurrency, and generates backends and providers along the way.
It has grown well past a Terraform tool, now positioned as a runtime for infrastructure, with auth, secrets, and Helmfile releases built in. That breadth is the appeal for platform teams, and the cost for anyone who only wanted less duplication.
Features
- Git-aware
--affectedruns that plan or apply only changed components. - Automatic backend generation and a registry cache.
- Declared secrets with masked reads and runtime injection.
- Drift detection, offered through the separate Atmos Pro product.
| Pros | Cons |
|---|---|
| Infrastructure configuration becomes pure data, which suits platform teams that template heavily. | Inheritance across YAML imports is one more thing to maintain and debug when a value surprises you. |
| One CLI beyond Terraform. | The scope is broad, so adoption means buying into a whole runtime. |
| Drift detection isn't in the open-source runtime. |
Terraspace
Best for: Teams that want a strongly opinionated project structure and don't mind Ruby in the toolchain.
Terraspace is a Terraform framework. It enforces a directory layout, layers tfvars per environment (select one with TS_ENV), and deploys stacks in dependency order with terraspace all up. Dependencies are declared in tfvars files instead of separate blocks.
The upside is that the structure is determined. The catch is that ERB templating inside .tfvars files gets you less help from standard HCL tooling, and the project's most recent push on GitHub is from October 2025, a slower cadence than the others here.
Features
- Generators for projects, stacks, modules, and tests.
- A
Terrafilefor managing modules centrally. - A built-in RSpec test harness.
| Pros | Cons |
|---|---|
| Conventions remove most directory-layout arguments. | Adopting it is closer to a rewrite than a migration. |
| Testing ships in the box. | The smallest community of the tools here, and the slowest recent activity. |
| Ruby and ERB in tfvars files add a second skill requirement. |
Native Terraform and OpenTofu approaches
Some teams adopted Terragrunt for one reason and can drop it once the underlying tool catches up.
Terraform workspaces
Best for: A handful of near-identical environments (dev and staging, for example) that share one configuration and one set of credentials.
Workspaces attach multiple state files to a single configuration under one backend. Combined with terraform.workspace in naming and sizing, they remove the copy-pasted environment directories that many teams adopt Terragrunt to avoid.
However, workspaces aren't an appropriate solution for system decomposition or for deployments that need separate credentials and access controls. There's no ordering between root modules and no cross-state dependency handling, so multi-module infrastructure still needs a script or a wrapper.
Features
- Supported by backends including S3, GCS, AzureRM, and PostgreSQL.
terraform.workspaceinterpolates the current workspace into any expression.
| Pros | Cons |
|---|---|
| Nothing new to install, learn, or leave later. | Every workspace shares one backend and one credential set. |
| Familiar to every Terraform engineer you'll hire. | The active workspace is implicit, which makes applying to the wrong one easy. |
| Code changes hit every environment at once, so there's no built-in promotion path. |
OpenTofu
Best for: teams whose main Terragrunt use was DRY backend configuration and who are open to moving off HashiCorp's Terraform.
OpenTofu's documentation says you can use variables and locals in backend blocks, with the restriction that values must resolve during tofu init, before state exists. That removes the best-known reason to reach for a wrapper: the backend block that couldn't take a variable.
It won't orchestrate multiple root modules, though. If your Terragrunt usage was mostly run --all and dependency blocks, OpenTofu alone leaves that job open.
Features
- Open governance under the Linux Foundation's stewardship, with an MPL-2.0 license.
- Partial backend configuration through
-backend-configfiles. - Works underneath Terragrunt, Terramate, and Stategraph.
| Pros | Cons |
|---|---|
| Community governance and an open-source license. | No cross-root ordering or dependency resolution. |
| Solves backend duplication without a second config language. | Moving from Terraform means checking version and provider compatibility first. |
Terragrunt vs. Stategraph
Everything above keeps the state model. This last option doesn't, and that's why it belongs in a different category.
Stategraph
Best for: Scaling or enterprise teams whose Terragrunt setup exists mainly to split state and sequence runs.
Stategraph stores state in PostgreSQL as a dependency graph of resources, instead of a state file. A plan reads only what a change reaches, and resource-level locking means changes that don't overlap can apply at the same time, even inside one state.
Multi-state transactions plan and apply several states together, and stategraph tf mtx resolves terraform_remote_state inside that run, which removes the sequencing that run --all and mock_outputs exist to handle.
We cover that and more in our article on how Terragrunt is dead, while the Terragrunt vs. Stategraph comparison puts the two side by side.
You don't have to pick one. Stategraph Orchestration runs plans and applies in pull requests on your own GitHub Actions or GitLab CI runners, with Terraform, OpenTofu, or Terragrunt underneath, and your state stays where it is.
Later you can import it into the database (stategraph import tf) and, when the wrapper stops doing enough, retire Terragrunt. Exporting back to a state file is one command.
Stategraph isn't a configuration layer; it works directly with the HCL and modules you already have, so it won't generate your backends the way Terragrunt or Terramate does. It's also younger, with a smaller community than Terragrunt.
Features
stategraph import tfmoves an existing state into the database;stategraph states exportwrites it back.- SQL queries across every state, including resources no state manages.
- Scheduled drift detection and a cost estimate on each plan.
- Refactor sessions that write
movedblocks as you edit HCL. - Plan comments, policy checks, and approvals in the pull request.
| Pros | Cons |
|---|---|
| Plan time follows the size of the change, not the size of the state. | State moves into PostgreSQL, which is one more component to own or buy. |
| Resource-level locks let non-overlapping changes apply in parallel. | It doesn't template configuration, so DRY backends still need another tool. |
| One reviewed plan across states, with a record of what completed. | Automatic cross-state discovery relies on terraform_remote_state using the Stategraph backend; otherwise you name the directories yourself. |
| Adoptable beside Terragrunt without touching your state first. | Orchestration integrates with GitHub and GitLab only. |
| Your HCL, providers, and modules don't change. | |
| Open source (MPL-2.0), with a documented exit path back to a state file. |
Choosing between Terragrunt alternatives
Match the tool to the job Terragrunt was doing for you.
- If it was config duplication across a few environments, workspaces or OpenTofu's backend variables may be all you need.
- If it was change detection and generated config across many stacks, Terramate or Atmos will feel familiar, with Terraspace for teams that prefer conventions enforced.
- The native options give you the most flexibility and the least lock-in, at the cost of doing less.
- If you split your state into units purely to keep locks and plans manageable, no wrapper fixes that; Stategraph does, and it works with Terragrunt while you decide what to migrate.
Conclusion
Terragrunt alternatives fall into three camps: wrappers that manage the sprawl, native features that remove the need for one, and a state model that removes the sprawl. Keep Terragrunt if it isn't costing you; swap in a lighter tool if configuration is the pain; and if lock contention, slow plans, and cross-state ordering are what wear on you, try Stategraph free alongside what you run today.
Terragrunt alternatives FAQs
What is the best Terragrunt alternative for multi-environment Terraform?
For two or three near-identical environments, workspaces cover the need with nothing new to install. Past that, Terramate and Atmos keep environments DRY at scale, and Stategraph is the best Terragrunt alternative when the multi-environment pain is really lock contention and slow plans.
Can you use Stategraph and Terragrunt together?
Yes. Stategraph Orchestration runs Terragrunt on your own CI runners and leaves state where it is. You can import state into Infrastructure as a Database later, at your own pace.
Do you still need Terragrunt with OpenTofu?
Less than before. OpenTofu allows variables and locals in backend blocks, which covers DRY backends. It doesn't order runs across separate root modules, so teams with many dependent states still need something for that.