Dagu vs /dev/push: Which is Better in 2026?
A comprehensive comparison of Dagu and /dev/push covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Dagu if:
- →You want more affordable paid plans (from $50/mo)
- →You need declarative yaml workflows with dependencies, cron schedules and retry policies or single binary with no external database or framework
Choose /dev/push if:
- →You need deploy on every github push, or deploy any specific commit or multiple environments with branch-to-environment mapping
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Dagu vs /dev/push: At a Glance
Pricing Comparison: Dagu vs /dev/push
Understanding the pricing differences between Dagu and /dev/push is crucial for making the right choice. Here's how their plans compare side by side.
/dev/push Pricing
💡 Pricing takeaway: Both Dagu and /dev/push offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Dagu and /dev/push stacks up.
What Makes Each Tool Unique
🔵 Unique to Dagu
Features available in Dagu but not in /dev/push:
- ✓Declarative YAML workflows with dependencies, cron schedules and retry policies
- ✓Single binary with no external database or framework
- ✓Web UI with DAG visualisation and approvals
- ✓Docker, SSH and HTTP executors
- ✓Installs on Linux, macOS, Windows, Docker and Kubernetes
- ✓Paid licences add SSO, RBAC, audit logging and incident routing, not features
🟣 Unique to /dev/push
Features available in /dev/push but not in Dagu:
- ✓Deploy on every GitHub push, or deploy any specific commit
- ✓Multiple environments with branch-to-environment mapping
- ✓Zero-downtime promotion — only successful builds reach production
- ✓Deployment history with commit, author, branch, duration and status
- ✓Fully self-hostable with no vendor lock-in
- ✓Online demo available before installing
Use Case Recommendations
Best for: Dagu
Dagu is a local-first workflow orchestrator built for teams whose main work is not orchestration — the explicit alternative to standing up Airflow when what you need is a handful of scheduled scripts that retry properly and tell you when they fail. Workflows are declarative YAML with steps, dependencies, cron schedules, retry policies, approvals and logs, and the whole thing ships as a single open-source binary with a web UI and DAG visualisation. There is no external database and no framework to adopt: your existing scripts, containers and AI agents stay exactly as they are and Dagu runs them. It installs on Linux, macOS, Windows, Docker and Kubernetes via a script installer, Homebrew, npm or a container image, and the quickstart gets a two-step workflow running from the web UI in a few minutes. Executors cover Docker, SSH and HTTP. The licensing split is clean and worth understanding before adoption: the core engine is GPLv3 and free forever with unlimited servers, unlimited workers, full automation and monitoring, the web UI and up to two API keys. Paid self-host licences do not gate workflow features — they add the enterprise controls that a compliance review asks for, namely SSO via OIDC, role-based access control, audit logging, incident routing and standard email support, and are counted per server with workers unlimited. A live demo is available with published demo credentials.
Ideal use cases:
- •Teams or individuals who need declarative yaml workflows with dependencies, cron schedules and retry policies
- •Teams or individuals who need single binary with no external database or framework
- •Teams or individuals who need web ui with dag visualisation and approvals
- •Teams or individuals who need docker, ssh and http executors
- •Anyone focused on workflow-orchestration workflows
- •Anyone focused on airflow-alternative workflows
Best for: /dev/push
/dev/push is an open-source alternative to Vercel and Render for teams who want push-to-deploy ergonomics on infrastructure they own. Connect a GitHub repository and every push deploys; you can also deploy any specific commit on demand, which makes rolling forward or back a selection rather than a rebuild. Environments are first-class: define as many as you need and map branches to them, so main goes to production and a release branch goes to staging without duplicated configuration. Deploys are zero-downtime — a new build is only promoted into production once it has built and started successfully, so a broken build never takes the site with it — and the deployment list shows each commit, its author, branch, message, duration and current status, with the commit hash linking straight back to GitHub. The project is self-hostable, which is the whole point: the same experience as a managed PaaS without per-seat pricing, egress surprises or a vendor holding your production environment. An online demo is available for evaluation without installing anything, and the project maintains public documentation, a GitHub repository and a Discord community. It is developed in the open by hunvreus, whose own repositories appear in the site's example deployments, and the project keeps its documentation, issue tracker and community discussion all in public rather than behind a support portal. For a small team the practical appeal is that the deployment story stops being a line item that scales with headcount or bandwidth: you run it on a box you already pay for, and the workflow your engineers expect from a managed platform is preserved intact.
Ideal use cases:
- •Teams or individuals who need deploy on every github push, or deploy any specific commit
- •Teams or individuals who need multiple environments with branch-to-environment mapping
- •Teams or individuals who need zero-downtime promotion — only successful builds reach production
- •Teams or individuals who need deployment history with commit, author, branch, duration and status
- •Anyone focused on open-source workflows
- •Anyone focused on self-hosted workflows
💻 Other Coding & Development Tools to Consider
Dagu and /dev/push aren't the only options. Here are other popular tools in the same space:
Cursor
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GitHub Copilot
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Windsurf
AI-native IDE with autonomous coding agents
v0
Generate React UI components from text prompts
Bolt
AI full-stack app builder with instant preview
Devin
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Is one of these your tool?
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Frequently Asked Questions
Is Dagu better than /dev/push?
It depends on your needs. Dagu offers 6 key features including Declarative YAML workflows with dependencies, cron schedules and retry policies and Single binary with no external database or framework, while /dev/push provides 6 features including Deploy on every GitHub push, or deploy any specific commit and Multiple environments with branch-to-environment mapping. Dagu uses a open-source model with a free tier, while /dev/push is open-source with free access available. Choose based on which features and pricing model align with your requirements.
Is Dagu cheaper than /dev/push?
/dev/push doesn't have standard paid plans, while Dagu starts at $50/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Dagu and /dev/push together?
Yes, many users combine Dagu and /dev/push in their workflow. Dagu excels at declarative yaml workflows with dependencies, cron schedules and retry policies, while /dev/push shines with deploy on every github push, or deploy any specific commit. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Dagu and /dev/push?
While both are coding & development tools, Dagu emphasizes declarative yaml workflows with dependencies, cron schedules and retry policies, whereas /dev/push is known for deploy on every github push, or deploy any specific commit. The best choice depends on your specific workflow and feature priorities.
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