Open Source HCP Terraform Alternatives

OpenTofu describes infrastructure in a high-level configuration syntax and applies it safely and efficiently. The blueprint of a datacenter becomes a file you version, review and reuse like any other code, which pulls provisioning out of the realm of undocumented console clicks and tribal memory.

Changes are never applied blind. A planning step generates an execution plan showing exactly what will happen before anything is touched, and a resource graph resolves dependencies so that unrelated resources are created and modified in parallel. Popular service providers and custom in-house solutions are managed through the same mechanism.

Four properties carry most of the value.

• Infrastructure as code: configuration is versioned, shared and reused the way source is.
• Execution plans: the plan step shows what apply will do, which removes surprises.
• Resource graph: dependencies are computed and non-dependent work runs in parallel.
• Change automation: complex changesets apply with minimal human interaction and in a known order.

Development happens in the open, with community meetings every Wednesday, a technical steering committee every other Tuesday, and day-to-day discussion in a channel on the CNCF Slack. The tool is distributed under the Mozilla Public License v2.0. Nightly builds of the main branch are published for anyone testing unreleased changes, though they are experimental, removed after thirty days and explicitly not meant for production.

Pulumi builds and deploys cloud infrastructure using programming languages you already write, which removes the YAML dialect and the templating tricks that come with it. Loops, functions, classes and package managers work the way they do everywhere else in your codebase.

You describe resources in code and Pulumi provisions and manages them on AWS, Azure, Google Cloud, Kubernetes and more than 300 providers in its registry. Running pulumi up computes the minimal difference between your program and the deployed state, and pulumi destroy removes everything that program created.

This repository holds the CLI, the language SDKs and the core engine.

• Languages: JavaScript, TypeScript, Python, Go, .NET with C#, F# and VB.NET, Java and YAML are all stable.
• Templates: pulumi new scaffolds a project for any supported language and cloud.
• Unified logs: pulumi logs streams output from containers and functions in one command.
• Automation API: embeds infrastructure as code inside your own programs instead of a CLI workflow.
• Secrets management: Pulumi ESC handles secrets and configuration across infrastructure and applications.

Installation is a single shell script, and the individual provider libraries live in repositories of their own. Pulumi is Apache 2.0 licensed and built to be extended, which suits teams standardising infrastructure across several clouds and languages at once.

Specialized CI systems for Terraform exist because collaboration on infrastructure code is awkward, but adopting one means running a second CI beside your existing one. Digger runs Terraform natively inside the CI you already have, reusing its compute, orchestration and logs.

Two components do the work. A CLI runs inside the CI job and calls Terraform with the right arguments, and a minimal orchestrator, which can be self-hosted, triggers those jobs in response to events such as pull request comments. Locks and plan cache live in your own cloud account, on DynamoDB and S3 for AWS.

What that buys over Atlantis and the hosted alternatives is concrete.

• Secrets stay put: cloud access credentials are never shared with a third party, since jobs run in your CI.
• No second compute bill: you are not paying twice to run the same plan.
• Pull request locks: layered on top of native state locks, they avoid race conditions across open pull requests.
• Policy control: Open Policy Agent provides role-based access control over who can run what.
• Drift detection: changes made outside the code get surfaced.
• Tooling coverage: Terragrunt, workspaces, several Terraform versions, Checkov static analysis and plan persistence.

Getting started guides cover GitHub Actions with AWS and with GCP, and the orchestrator can be deployed with Helm if you want to host it. Anonymous telemetry is collected and can be switched off in digger.yml or by environment variable. As of November 2025 the project has been renamed OpenTaco, while the company is still called Digger.

Terrateam pulls Terraform and OpenTofu changes into the code review that already gates everything else. Open a pull request and the plan arrives as a comment, then apply from the same thread once it is approved, so shipping infrastructure no longer depends on who has credentials on their laptop. Terrateam and Stategraph have merged into one platform, where Terrateam runs as Stategraph Orchestration and existing setups keep working unchanged.

Workflows are declared in a .terrateam/config.yml file and run on GitHub or GitLab. The other half of the platform, Infrastructure as a Database, keeps Terraform state as a dependency graph in PostgreSQL rather than one JSON blob behind one lock, so plans are scoped to the subgraph a change touches and independent changes commit at the same time. Neither half requires the other.

The orchestration side covers the review loop end to end.

• Automatic plans: every pull request gets a plan posted as a comment before anyone merges.
• Routed approvals: applies run from the pull request, with reviewers assigned through CODEOWNERS.
• Policy enforcement: OPA and Rego, Conftest and Checkov block non-compliant changes before production.
• Cost estimates: spending shows up in review, with thresholds that demand an extra approval.
• Drift detection: scheduled runs catch changes made outside the workflow.
• Tag-based configuration: the same setup covers ten workspaces or ten thousand, in a monorepo or many repos.

Terragrunt, CDKTF and Pulumi are supported alongside the two main binaries. Self-hosting is a Docker Compose setup wizard, and the hosted service is free for small teams.