dynaconf VS hydra

Compare dynaconf vs hydra and see what are their differences.

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dynaconf hydra
4 14
3,491 8,095
1.9% 2.1%
8.4 6.6
3 days ago 11 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dynaconf

Posts with mentions or reviews of dynaconf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-27.

hydra

Posts with mentions or reviews of hydra. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-19.
  • Show HN: Hydra - Open-Source Columnar Postgres
    6 projects | news.ycombinator.com | 19 Sep 2023
    Nice tool, only unfortunate name, consider changing it. Already very well know security tool named hydra https://github.com/vanhauser-thc/thc-hydra been around since 2001. Then facebook went ahead and named their config tool hydra https://github.com/facebookresearch/hydra on top of it. Like we get it, hydra popular mythology but we could use more original naming for tools
  • Show HN: Hydra 1.0 – open-source column-oriented Postgres
    12 projects | news.ycombinator.com | 3 Aug 2023
    This looks really impressive, and I'm excited to see how it performs on our data!

    P.S., I think the name conflicts with Hydra, the configuration management library: https://hydra.cc/

  • Best practice for saving logits/activation values of model in PyTorch Lightning
    3 projects | /r/deeplearning | 19 Jul 2023
    I've been trying to learn PyTorch Lightning and Hydra in order to use/create my own custom deep learning template (e.g. like this) as it would greatly help with my research workflow. A lot of the work I do requires me to analyse metrics based on the logits/activations of the model.
  • [D] Alternatives to fb Hydra?
    5 projects | /r/MachineLearning | 29 Mar 2023
    However, hydra seems to have several limitations that are really annoying and are making me reconsider my choice. Most problematic is the inability to group parameters together in a multirun. Hydra only supports trying all combinations of parameters, as described in https://github.com/facebookresearch/hydra/issues/1258, which does not seem to be a priority for hydra. Furthermore, hydras optuna optimizer implementation does not allow for early pruning of bad runs, which while not a deal breaker is definitely a nice to have feature.
  • Show HN: Lightweight YAML Config CLI for Deep Learning Projects
    2 projects | news.ycombinator.com | 10 Mar 2023
    Do you hate the fact that they don't let you return the config file: https://github.com/facebookresearch/hydra/issues/407
  • Config management for deep learning
    3 projects | /r/Python | 10 Mar 2023
    How would you compare your tool with Hydra?
    3 projects | /r/Python | 10 Mar 2023
    I kind of built this due to frustrations with Hydra. Hydra is an end to end framework, it locks you into a certain DL project format, it decides logging, model saving and a whole host of things. For example Hydra can do the same config file overwriting that I allow but you have to store the config file with the name config.yaml inside a specific folder. On top of that hydra doesn’t let you return the config file from the main function so you have to put all the major logic in the main function itself (link), the authors claim this is by design. I can find Hydra useful for a mature less experimental project. But in my robotics and ML research, I like being able to write code where I want and integrating it how I want, especially when debugging for which I think this package is useful. TLDR; If you just want the config file functionality use my package, if you want a complete DL project manager use Hydra. While hydra implements this config file functionality, it also adds a lot of restrictions to project structure that you might not like.
  • The YAML Document from Hell
    19 projects | news.ycombinator.com | 12 Jan 2023
    For managing configs of ML experiments (where each experiment can override a base config, and "variant" configs can further override the experiment config, etc), Hydra + Yaml + OmegaConf is really nice.

    https://hydra.cc/

    I admit I don't fully understand all the advanced options in Hydra, but the basic usage is already very useful. A nice guide is here:

    https://florianwilhelm.info/2022/01/configuration_via_yaml_a...

  • Run Configurator
    2 projects | /r/Python | 4 Sep 2022
    hydra
  • ML Configuration Management
    3 projects | dev.to | 28 Jul 2022
    These days, it comes without a surprise that there are several OpenSource (OS) configuration frameworks that can be utilized for this. After reviewing several options (including Hydra), we decided on dynaconf, since it fulfilled our requirements of being:

What are some alternatives?

When comparing dynaconf and hydra you can also consider the following projects:

python-dotenv - Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

ConfigParser

python-decouple - Strict separation of config from code.

django-environ - Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.

confuse - painless YAML config files for Python

profig - A straightforward configuration library for Python.

sops - Simple and flexible tool for managing secrets

gin-config - Gin provides a lightweight configuration framework for Python