Packer VS DoIt

Compare Packer VS DoIt and see what are their differences

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Packer

Packer is an open-source software for creating identical machine images from a single source configuration.

DoIt

Task management & automation tool.

Landing page //
2023-09-15

Landing page //
2020-03-04

Packer

Website: packer.io
$ Details

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DoIt

Website: pydoit.org
$ Details

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Packer features and specs

Multi-Provider Support
Packer supports a wide variety of providers such as AWS, Azure, Google Cloud, VMware, and more. This allows for flexibility and the ability to create machine images across different environments.
Automation
Packer automates the creation of machine images, eliminating the need for manual image configuration and reducing the potential for human error.
Script Reusability
Packer allows for the reuse of scripts and configuration files, enabling a consistent and repeatable process for image creation.
Parallel Builds
Packer can build multiple images in parallel, which can significantly speed up the provisioning process.
Idempotency
Packer ensures that the output machine image is always an identical result given the same input configuration, reducing the risk of inconsistencies.

Possible disadvantages of Packer

Steep Learning Curve
The variety of features and flexibility that Packer offers can make it complex and challenging to learn, especially for beginners.
Limited Debugging Tools
Packer's debugging tools are not as mature or as integrated as those found in some other DevOps tools, making troubleshooting more difficult.
Configuration Complexity
Complex configurations with multiple builders and provisioners can become hard to manage and maintain, leading to potential errors.
No State Management
Unlike Terraform, Packer does not manage state, which means users need to handle state management separately if required.
Dependency on External Tools
Packer often relies on external scripts and tools for provisioning, which can introduce additional dependencies and complexities.

DoIt features and specs

Flexibility
DoIt allows for a wide range of tasks including file generation, testing, or data processing. It can be customized for a variety of workflows.
Python Native
As a tool written in Python, DoIt integrates well with Python projects, offering a natural syntax for Python developers.
Task Dependencies
DoIt provides powerful dependency management, enabling tasks to be executed efficiently and only when necessary.
Incremental Builds
The tool supports incremental builds, meaning it only runs tasks that are necessary, which can save time in larger projects.
Extensible
DoIt can be extended with plugins, allowing more complex functionality to be added on top of its core capabilities.

Possible disadvantages of DoIt

Learning Curve
New users might find DoIt's conceptual approach to task management and dependencies a bit intimidating at first.
Not as Popular
Compared to other build systems like Make or Gradle, DoIt has a smaller user base, which means fewer community resources and plugins.
Limited to Python
Being Python-based means it's not as suitable for projects in other languages unless they integrate well with Python.
Complexity for Simple Tasks
For very simple tasks, using DoIt could add unnecessary complexity compared to basic scripting.
Documentation
Some users may find the documentation less comprehensive or not as beginner-friendly as other tools.

Analysis of Packer

Overall verdict

Packer is a valuable tool for organizations looking to streamline their image building process and maintain consistency across different environments. Its flexibility and wide range of features make it a strong asset in infrastructure automation and DevOps pipelines.

Why this product is good

Packer is considered a good tool because it automates the creation of machine images for multiple platforms from a single source configuration. This efficiency reduces errors and speeds up the deployment process. Packer is highly versatile and integrates well with various configuration management tools, broadening its applicability across different environments. It also supports multiple cloud providers, making it a great choice for multi-cloud strategies.

Recommended for

DevOps teams
Cloud infrastructure engineers
Organizations using multi-cloud strategies
Teams seeking automated and consistent image building processes
Developers looking to integrate infrastructure as code practices

Packer videos

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DoIt videos

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Doit im for Mac 4.0 Review

Category Popularity

0-100% (relative to Packer and DoIt)

DoIt

DevOps Tools

91 91%

DevOps Tools

9% 9

Project Management

0 0%

Project Management

100% 100

Continuous Integration And Delivery

100 100%

Continuous Integration And Delivery

0% 0

Hardware

0 0%

Hardware

100% 100

User comments

Share your experience with using Packer and DoIt. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Packer and DoIt

Packer Reviews

Introduction to Top Open Source Virtualization Tools

Packer is notably light, high performing, and operates on every major operating system. It assembles and configures all the necessary components for a virtual machine then creates images that run on multiple platforms. Packer doesn’t replace configuration management tools like Puppet or Chef; as a matter of fact, when creating images, Packer can utilize tools like Puppet or...

Source: www.getfilecloud.com

DoIt Reviews

We have no reviews of DoIt yet.
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Social recommendations and mentions

Based on our record, DoIt should be more popular than Packer. It has been mentiond 15 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.

Packer mentions (9)

Failed to connect to the host via SSH on Ubuntu 22.04
If you have just upgraded to Ubuntu 22.04, and you suddenly experience either errors when trying to ssh into hosts, or when running ansible or again when running the ansible provisioner building a packer image, this is probably going to be useful for you. - Source: dev.to / almost 4 years ago
Create a minimalist OS using Docker Containers and Hashicorp Packer
I am already using Hashicorp Packer at work and for personal projects and I wanted to test This idea out by wrapping it a single Packer Template file. This reduces the level of maintaining a lot of small scripts, Dockerfiles and configurations and the user can simply trigger a couple of Commands to get a minimalist OS at the end of the process. - Source: dev.to / almost 4 years ago
After self-hosting my email for twenty-three years I have thrown in the towel. The oligopoly has won.
And while it is a slight increase in complexity, it can be an overall net gain in functionality, configurability and reliability. Much like Packer is far more reliable and practical than manually making VM images sitting in front of a terminal, even though making the initial configuration takes some time. Source: almost 4 years ago
Customized Ubuntu Images using Packer + QEMU + Cloud-Init & UEFI bootloading
Hashicorp Packer provides a nice wrapper / abstraction over the QEMU in order to boot the image and use it to set it up on first-boot. Instead of writing really long commands in order to boot up the image using QEMU, Packer provided a nice Configuration Template in a more Readable fashion. - Source: dev.to / about 4 years ago
The journey of sharing a wired USB printer over the network
Packer seemed like the perfect tool for the job. I have never used it before and wanted to get familiar with the tool. It doesn't come with ARM support out of the box, but there are two community projects to fill that niche. - Source: dev.to / over 4 years ago

DoIt mentions (15)

rut: A Python Test Runner That Skips Unaffected Tests
In 2008, I created doit — a build tool that tracks file dependencies and only rebuilds what changed. Same idea as make, but for Python workflows. - Source: dev.to / 7 months ago
How do you deal with CI, project config, etc. falling out of sync across repos?
I like mage for Go and doit for Python. Source: over 2 years ago
Show HN: Jeeves – A Pythonic Alternative to GNU Make
An alternative to Scons could be Doit (), which if I remember correctly was built as a faster alternative to Scons. See also reasons of some users to prefer the later to other mentioned here: . - Source: Hacker News / almost 3 years ago
Makefile Tricks for Python Projects
Or use https://pydoit.org and a virtualenv and be happy. - Source: Hacker News / over 3 years ago
Write Posix Shell
If you code in Python, your probably should use the language as much as possible and avoid calling shell commands. E.G: - manipulate the file system with pathlib - do hashes with hashlib - zip with zipfile - set error code with sys.exit - use os.environ for env vars - print to stderr with print(..., file=...) - sometimes you'll need to install lib. Like, if you want to manipulate a git repo, instead of calling the... - Source: Hacker News / over 3 years ago