CHANfiG VS ml_collections

Compare CHANfiG vs ml_collections and see what are their differences.

ml_collections

ML Collections is a library of Python Collections designed for ML use cases. (by google)
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CHANfiG ml_collections
2 1
31 839
- 1.4%
8.6 5.7
1 day ago 17 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

CHANfiG

Posts with mentions or reviews of CHANfiG. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-25.

ml_collections

Posts with mentions or reviews of ml_collections. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-25.
  • Config files in plain Python
    3 projects | /r/Python | 25 Aug 2022
    Honestly, I don't see any problem with this. Even Google has its own config_dict that is meant to store configurations in pure python.

What are some alternatives?

When comparing CHANfiG and ml_collections you can also consider the following projects:

torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda

mmdetection - OpenMMLab Detection Toolbox and Benchmark

strictyaml - Type-safe YAML parser and validator.

python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

parse_it - A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.

dynaconf - Configuration Management for Python ⚙