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Atlantis

Terraform pull request automation via GitHub/GitLab comments

Atlantis is a self-hosted Terraform pull request automation tool that runs plan and apply operations triggered by GitHub, GitLab, Bitbucket, or Azure DevOps comments. Type 'atlantis plan' on a PR to see infrastructure changes, then 'atlantis apply' to deploy. 9,100+ GitHub stars, Apache 2.0 licensed. Widely adopted as the standard for GitOps-style Terraform workflows, with locking to prevent concurrent modifications to the same resources.

About Atlantis

Atlantis brings GitOps principles to Terraform by embedding plan/apply workflows directly into pull request comments. Developers interact with infrastructure changes the same way they interact with code: review the plan output in the PR, discuss changes with teammates, and apply when ready. The webhook-based architecture means Atlantis responds to PR events automatically, running plans on new commits and posting results as comments.

Resource locking prevents race conditions where two PRs could modify the same Terraform state simultaneously. The server tracks which PR holds the lock for each workspace and project, preventing concurrent applies that could leave infrastructure in an inconsistent state. Custom workflow configurations allow teams to define pre/post hooks, environment-specific variables, and multi-step deployment sequences.

Atlantis is Apache 2.0 licensed with 9,100+ GitHub stars and one of the most mature Terraform automation projects. It runs as a single Go binary or Docker container with minimal dependencies. The project supports Terraform, OpenTofu, Terragrunt, and other HCL-based tools. Compared to Terraform Cloud or Spacelift, Atlantis provides maximum flexibility and control as a self-hosted solution with zero licensing costs.

Pricing & Platform Specs

Pricing Summary

100% free and open source under the Apache-2.0 license (9.2k+ GitHub stars) with $0 software licensing fees. Atlantis provides pull request-driven GitOps automation for Terraform and OpenTofu with zero seat fees, PR limits, or resource-under-management (RUM) charges. Teams self-host Atlantis as a Docker container or Kubernetes Helm deployment, paying only for their underlying cloud infrastructure.

full pricing breakdown →

Supported Platforms

Self-hosted Go binary or Docker; GitHub/GitLab/Bitbucket webhooks

Explore categories, tags & use cases

Infrastructure as Code

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freemium

Infrastructure as Code using real programming languages — TypeScript, Python, Go, C#, Java.

Pulumi is a modern Infrastructure as Code platform that lets teams define cloud infrastructure using familiar programming languages instead of DSLs. Supports TypeScript, Python, Go, C#, Java, and YAML across major clouds, Kubernetes, and a broad Pulumi Registry with Terraform-derived provider coverage. Offers testing, IDE autocomplete, reusable components, and Pulumi Cloud state/governance features.

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Cloud cost estimates for Terraform changes in pull requests

Infracost shows cloud cost changes directly in pull requests before infrastructure-as-code changes are deployed. It calculates cost impact across AWS, Azure, and GCP for Terraform, Terragrunt, CloudFormation, and AWS CDK workflows, with diffs in GitHub, GitLab, Bitbucket, and Azure DevOps. 12.4K+ GitHub stars, Apache 2.0 licensed. Used by GitLab, HelloFresh, JPMorgan Chase, BMW, and Accenture.

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Side-by-Side Comparisons

Terragrunt logo
Terragrunt
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Atlantis

Terragrunt vs Atlantis — IaC Configuration Orchestration vs Pull-Request Automation

Terragrunt and Atlantis both enhance Terraform workflows but serve different roles in the infrastructure automation stack. Terragrunt is a CLI orchestration layer that keeps Terraform configurations DRY across environments, while Atlantis provides a pull-request-driven automation server that runs Terraform plan and apply through GitOps workflows triggered by code review comments.

TerragruntAtlantis
Atlantis logo
Atlantis
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Terraform logo
Terraform

Atlantis vs Terraform Cloud — Open-Source PR Automation vs HashiCorp's Managed Platform

Atlantis and Terraform Cloud both automate Terraform workflows through pull requests, but they represent fundamentally different approaches. Atlantis is a free, self-hosted Go binary that adds plan/apply automation to your existing Git workflow. Terraform Cloud is HashiCorp's managed platform with state management, policy enforcement, and a full governance suite. This comparison helps platform teams choose between open-source freedom and managed enterprise features.

AtlantisTerraform

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Atlantis?

Atlantis is a self-hosted Terraform pull request automation tool that runs plan and apply operations triggered by GitHub, GitLab, Bitbucket, or Azure DevOps comments. Type 'atlantis plan' on a PR to see infrastructure changes, then 'atlantis apply' to deploy. 9,100+ GitHub stars, Apache 2.0 licensed. Widely adopted as the standard for GitOps-style Terraform workflows, with locking to prevent concurrent modifications to the same resources.

Is Atlantis free?

Yes — Atlantis is open source and free to use. 100% free and open source under the Apache-2.0 license (9.2k+ GitHub stars) with $0 software licensing fees. Atlantis provides pull request-driven GitOps automation for Terraform and OpenTofu with zero seat fees, PR limits, or resource-under-management (RUM) charges. Teams self-host Atlantis as a Docker container or Kubernetes Helm deployment, paying only for their underlying cloud infrastructure.

Is Atlantis open source?

Yes — Atlantis is open source.

Is Atlantis still maintained?

Yes — Atlantis is active. Its listing was last verified on September 6, 2026.

What are the best Atlantis alternatives?

The first editor-selected Atlantis alternatives are Terraform, Pulumi, Infracost.

How does Atlantis score in our review?

The published editorial review lists Atlantis at 82/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.