Hadolint vs Tutum

Overview

Tutum

Stacks61

Followers74

Votes235

Hadolint

Stacks16

Followers28

Votes0

Hadolint vs Tutum: What are the differences?

Hadolint: A Static Analysis Tool for Dockerfiles in Haskell. A smarter Dockerfile linter that helps you build best practice Docker images. The linter is parsing the Dockerfile into an AST and performs rules on top of the AST. It is standing on the shoulders of Shellcheck to lint the Bash code inside RUN instructions; Tutum: Build, deploy, monitor, and scale Docker containers. Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Hadolint and Tutum can be primarily classified as "Container" tools.

Hadolint is an open source tool with 2.28K GitHub stars and 98 GitHub forks. Here's a link to Hadolint's open source repository on GitHub.

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Detailed Comparison

Tutum	Hadolint
Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.	A smarter Dockerfile linter that helps you build best practice Docker images. The linter is parsing the Dockerfile into an AST and performs rules on top of the AST. It is standing on the shoulders of Shellcheck to lint the Bash code inside RUN instructions.
Deploy from Docker Hub; Free private Docker registry; CLI Tool; Private Links; Dynamic Links; RESTful API; Edit & Redeploy; Jumpstarts & Quickstarts; Webhooks; Bring your own node; Data volumes; Amazon Web Services; Digital Ocean; Microsoft Azure;	-
Statistics
Stacks 61	Stacks 16
Followers 74	Followers 28
Votes 235	Votes 0
Pros & Cons
Pros 35 Awesome user interface 28 Free private docker registry 24 Its super easy 24 Docker public index integration 21 Friendly support	No community feedback yet
Integrations
Docker MongoDB MariaDB MySQL DigitalOcean Memcached RabbitMQ PostgreSQL Riak WordPress	Docker

What are some alternatives to Tutum, Hadolint?

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.