Software Alternatives, Accelerators & Startups

ToDoList VS Buildah

Compare ToDoList VS Buildah and see what are their differences

ToDoList logo ToDoList

Windows desktop application to stay on top of your daily tasks.

Buildah logo Buildah

Buildah is a web-based OCI container tool that allows you to manage the wide range of images in your OCI container and helps you to build the image container from the scratch.
  • ToDoList Landing page
    Landing page //
    2021-10-14
  • Buildah Landing page
    Landing page //
    2022-05-27

ToDoList videos

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Buildah videos

How to Build a Container Image Using Buildah

Category Popularity

0-100% (relative to ToDoList and Buildah)
Task Management
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Project Management
100 100%
0% 0
OS & Utilities
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Buildah seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ToDoList mentions (0)

We have not tracked any mentions of ToDoList yet. Tracking of ToDoList recommendations started around Mar 2021.

Buildah mentions (11)

  • How to Create a CI/CD Pipeline with Docker
    Lockdown your Dockerized build environments --- Because privileged mode is insecure, you should restrict your CI/CD environments to known users and projects. If this isn't feasible, then instead of using Docker, you could try using a standalone image builder like Buildah to eliminate the risk. Alternatively, configuring rootless Docker-in-Docker can mitigate some --- but not all --- of the security concerns... - Source: dev.to / about 2 months ago
  • Ko: Easy Go Containers
    In my experience, not using docker to build docker images is a good idea. E.g. buildah[0] with chroot isolation can build images in a GitLab pipeline, where docker would fail. It can still use the same Dockerfile though. If you want to get rid of your Dockerfiles anyway, nix can also build docker images[1] with all the added benefits of nix (reproducibility, efficient building and caching, automatic layering,... - Source: Hacker News / 8 months ago
  • Understanding Docker Architecture: A Beginner's Guide to How Docker Works
    Buildah: This lightweight, open-source command-line tool for building and managing container images. It is an efficient alternative to Docker. With Buildah, you can build images in various ways, including using a Dockerfile, a podmanfile or by running commands in a container. Buildah is a flexible, secure and powerful tool for building container images. - Source: dev.to / about 1 year ago
  • Crafting container images without Dockerfiles
    When I saw the title I thought it was going to be about `buildah` [1][2] Which allows you to create images using the command line to build them up step-by-step. [1] https://buildah.io/. - Source: Hacker News / over 1 year ago
  • Podman 4.3 on Artix Linux: Fix initialization issues
    Buildah is a "tool that facilitates building OCI images" of Containers. If it is not installed, podman system migrate will print out the warning:. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing ToDoList and Buildah, you can also consider the following products

Todoist - Todoist is a to-do list that helps you get organized, at work and in life.

Podman - Simple debugging tool for pods and images

Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.

containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability

OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.

Crane - Crane is a docker image builder to approach light-weight ML users who want to expand a container image with custom apt/conda/pip packages without writing any Dockerfile.