Software Alternatives, Accelerators & Startups

FullContact Card Reader VS Buildah

Compare FullContact Card Reader VS Buildah and see what are their differences

FullContact Card Reader logo FullContact Card Reader

Automagically scan biz cards into LinkedIn/Gmail contacts

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.
  • FullContact Card Reader Landing page
    Landing page //
    2021-12-19
  • Buildah Landing page
    Landing page //
    2022-05-27

FullContact Card Reader videos

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Buildah videos

How to Build a Container Image Using Buildah

Category Popularity

0-100% (relative to FullContact Card Reader and Buildah)
Contact Management
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Call Management
100 100%
0% 0
Developer Tools
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.

FullContact Card Reader mentions (0)

We have not tracked any mentions of FullContact Card Reader yet. Tracking of FullContact Card Reader 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 / 7 days 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 / 7 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 / 12 months 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 FullContact Card Reader and Buildah, you can also consider the following products

Google Contacts - Google Contacts is Google's contact management tool that is available in its free email service Gmail, as a standalone service, and as a part of Google's business-oriented suite of web apps Google Apps.

Podman - Simple debugging tool for pods and images

Drupe - Next generation contact manager and dialer.

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

Simple Contacts - Contact lens prescriptions from home

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.