Digger (OpenTaco)
Runs your Terraform plan and apply commands inside the CI system you already use (GitHub Actions, GitLab CI, etc.) instead of making you stand up and maintain a separate server just for that — free and open source.
🔗 Visit Digger (OpenTaco)
Description
Tools like Atlantis or Terraform Cloud that automate Terraform in pull requests usually mean running (and maintaining) another piece of infrastructure just to manage your infrastructure — a bit like buying a second car to drive to the mechanic. Digger, rebranded OpenTaco in late 2025, skips that: it plugs into the CI pipeline you're already running (GitHub Actions, GitLab CI, etc.) so your existing runners execute the Terraform jobs, and your cloud credentials never have to leave your own CI environment.
Digger is an open-source (MIT) IaC orchestration tool that posts Terraform/OpenTofu plan and apply output as pull request comments, using your existing CI runners rather than a dedicated backend. It supports Open Policy Agent for RBAC and policy checks, PR-level locking to avoid race conditions across concurrent pull requests, Terragrunt and multiple Terraform version support, Checkov static analysis, plan persistence, and drift detection. An optional web UI (the OpenTaco orchestrator) adds cloud-based management on top. With over 5,000 GitHub stars and active recent commits, it's one of the more widely adopted tools in this space.
💬 Our review
The short version: Digger/OpenTaco is the pragmatic choice if you want PR-automated Terraform without running yet another always-on server — it's free, well-adopted (5,000+ stars), and its main selling point over Atlantis is architectural, not feature-count.
The CI-native design is the real differentiator: Atlantis requires you to deploy and keep patched a standalone webhook server with access to your cloud credentials, which is itself an attack surface and an ops burden. Digger avoids that by running inside CI jobs you already trust and already maintain. Add PR-level locking (Atlantis famously locks per-directory in ways that trip up concurrent PRs) and built-in drift detection, and it's a meaningful upgrade path for teams who've hit Atlantis's rough edges.
The honest limits: the November 2025 rebrand to OpenTaco means documentation and community discussion are currently split across two names, which can be confusing when searching for help. And 'runs in your CI' cuts both ways — you're now coupling your Terraform automation to your CI provider's reliability and runner capacity, rather than a dedicated system built for the job. If your CI setup is solid and you want to avoid running a separate service, Digger is the strong default; if you want a more full-featured hosted platform with a proper state/registry UI, Terrakube or a paid option like Terraform Cloud fit better.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Open source (licence MIT), gratuit, exécuté dans votre CI existante — pas de coût d'infrastructure séparée.
Pros
Tourne dans votre CI existante — pas de serveur séparé à héberger ni de credentials cloud à partager avec un tiers
Verrouillage au niveau PR (évite les conflits entre pull requests concurrentes, contrairement à Atlantis)
Détection de drift, intégration OPA (RBAC/policy) et Checkov (analyse statique) intégrées
Bien adopté (5000+ étoiles GitHub), gratuit et open source (MIT)
Cons
Rebranding récent (OpenTaco, nov. 2025) — documentation et discussions communautaires encore partagées entre deux noms
Dépend de la fiabilité et de la capacité de votre CI existante plutôt que d'un système dédié
UI de gestion cloud (orchestrateur OpenTaco) moins complète qu'une plateforme dédiée comme Terrakube