Software Alternatives, Accelerators & Startups

API Bakery VS Python Poetry

Compare API Bakery VS Python Poetry and see what are their differences

API Bakery logo API Bakery

Backend code generator for backend API services - create your next backend in seconds

Python Poetry logo Python Poetry

Python packaging and dependency manager.
  • API Bakery Landing page
    Landing page //
    2022-09-15
  • Python Poetry Landing page
    Landing page //
    2022-11-12

API Bakery features and specs

  • Ease of Use
    API Bakery simplifies the process of API generation through its user-friendly interface, making it easier for users to create APIs without extensive programming knowledge.
  • Time-Saving
    The platform automates much of the API development process, significantly reducing the time required to build and deploy APIs.
  • Customization
    Users have the flexibility to customize API endpoints according to their specific needs, allowing for tailored solutions that fit particular use cases.
  • Scalability
    API Bakery facilitates scalable API solutions that can grow alongside a business, supporting additional features and increased demand as needed.
  • Integration
    The platform supports integration with various technologies and services, enabling seamless connectivity with existing systems and tools.

Possible disadvantages of API Bakery

  • Cost
    Depending on the features and scale required, the cost of API Bakery may be higher than traditional development methods, especially for smaller projects.
  • Limited Control
    Users may experience limited control over the generated API, as the tool may impose constraints that don't align with all developer preferences or specific use cases.
  • Dependency
    Relying on a third-party service for critical API infrastructure can introduce dependency risks if the platform experiences downtime or issues.
  • Complex Use Cases
    For highly complex or unique API requirements, the automated solutions offered by API Bakery may lack the necessary flexibility or depth.
  • Learning Curve
    While designed for ease of use, some users may still face a learning curve in adapting to the platform's specific workflows and features.

Python Poetry features and specs

  • Dependency Management
    Python Poetry provides a robust system for managing project dependencies, making it easy to specify, install, and update packages.
  • Simplified Configuration
    It uses a clear and concise `pyproject.toml` file for configuration, which simplifies the setup process compared to other tools.
  • Environment Isolation
    Automatically manages virtual environments, ensuring that dependencies are isolated and do not interfere with each other.
  • Consistent Builds
    Poetry can lock dependencies to exact versions, ensuring consistent and repeatable builds across different environments.
  • Publishing Tools
    Includes built-in tools for publishing packages to PyPI, making the distribution process straightforward and streamlined.

Possible disadvantages of Python Poetry

  • Learning Curve
    Requires users to learn new commands and techniques, which can be a barrier for those familiar with other tools like pip and virtualenv.
  • Performance
    Dependency resolution and installation processes can sometimes be slower compared to tools like pip, especially for large projects.
  • Compatibility
    May have compatibility issues with certain packages or tools that expect a different environment or dependency management system.
  • Community Support
    While growing, the community and ecosystem around Poetry are not as large or mature as those around more established tools.
  • Limited IDE Integration
    Integration with some Integrated Development Environments (IDEs) might not be as seamless as for more widely used tools, potentially impacting productivity.

Analysis of Python Poetry

Overall verdict

  • Yes, Python Poetry is considered a good tool for managing Python projects, especially for developers who prefer a streamlined, cohesive approach to dependency management and virtual environment handling.

Why this product is good

  • Python Poetry is highly regarded because it simplifies dependency management and project setup for Python projects. It uses a simple `pyproject.toml` file for configuration and has a clear, intuitive CLI. It also resolves dependencies consistently and creates isolated virtual environments by default, which enhances project reproducibility and reduces conflicts.

Recommended for

  • Developers seeking a modern alternative to `pip` and `virtualenv`
  • Teams looking for consistent dependency resolution across different environments
  • Python developers prioritizing ease of use and intuitive project setup
  • Projects requiring robust dependency management and isolation

API Bakery videos

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Python Poetry videos

My Poetry is BAD

Category Popularity

0-100% (relative to API Bakery and Python Poetry)
Developer Tools
25 25%
75% 75
Kids
0 0%
100% 100
Backend Development
100 100%
0% 0
Front End Package Manager

User comments

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Social recommendations and mentions

Based on our record, Python Poetry should be more popular than API Bakery. It has been mentiond 167 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.

API Bakery mentions (24)

  • Where from to start building project?
    If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on. Source: over 2 years ago
  • How to Build a RESTful API with Node.js and Express
    My project generator does basically exactly this - determine how your data looks, set up a project and build out CRUD, then you can go do fun stuff. Source: over 2 years ago
  • How Python virtual environments work
    > relocating them will actually break things Yes, absolute paths are hardcoded in several places. I actually have a use case for copying/relocating them (for https://apibakery.com), and simple search/replace of paths across the entire venv works, but I wouldn't recommend that as a best practice approach :-). - Source: Hacker News / over 2 years ago
  • Framework for REST API that builds a complete-ish API given a model?
    Use a project generator like https://apibakery.com (disclosure, I'm the author). Source: over 2 years ago
  • ImagineAI: A code generator that turns your app spec into a Node project
    Not op, but I have a similar project which does handle auth and a few other extra goodies like bg workers and dev shell: https://apibakery.com It uses a bearer token instead of JWT tho, for reasons outlined here: https://apibakery.com/blog/tech/no-jwt/ (HN discussion here: https://news.ycombinator.com/item?id=33019960). - Source: Hacker News / over 2 years ago
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Python Poetry mentions (167)

  • How I stopped worrying and loved Makefiles
    I love Python for it's simplicity... At least when it comes to coding, because when you start managing dependencies, it's getting tricky. What do you use: raw dependencies.txt or rather Poetry or Pipenv? Do you use system Python or maybe pyenv? - Source: dev.to / about 1 month ago
  • Configuring CSP: A Test For Django 6.0
    The Bakery Demo project uses pip from Python for package management, and the Wagtail dot org website uses Poetry. The differences in connecting both were very subtle, with the bakery demo being the easier of the two. The overarching requirement was that you would have cloned the most recent version of Django from its GitHub repository. For the Bakery Demo, you would need a virtual environment and an installation... - Source: dev.to / about 2 months ago
  • Introducing Quart: A Modern Alternative to Flask (with Async Support)
    A Python-based asynchronous REST API built with Quart, SQLAlchemy (async), and [PostgreSQL], using Poetry for dependency management. - Source: dev.to / 3 months ago
  • Open Source Malicious Packages: The Problem
    To simplify the discussion we will talk about software packages: components in a packaged form produced by third parties. This includes not only components used by package managers like NPM or Poetry, but also operating system components including libraries and executable binaries, container images, and virtual machines, or tool extensions for development, build, and deployment tools. - Source: dev.to / 4 months ago
  • Debugging a problem with my fish shell.
    However, one problem appeared and was bothering me too much. I need to use Poetry for some projects at work, and everything Worked great while I was using it in bash, whoever, when I made the switch to Fish, all of the sudden poetry stopped working for me. - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing API Bakery and Python Poetry, you can also consider the following products

API Platform - REST and GraphQL framework to build modern API-driven projects

Conda - Binary package manager with support for environments.

betaForBeta - One-to-one testing other developers projects

Python Package Index - A repository of software for the Python programming language

DrapCode - DrapCode is a No-Code Platform that helps you build, design and launch complex web applications without writing any coding.

pip - The PyPA recommended tool for installing Python packages.