argbind
spock
| argbind | spock | |
|---|---|---|
| 1 | 12 | |
| 44 | 115 | |
| - | 1.7% | |
| 5.6 | 7.0 | |
| 3 months ago | 7 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
argbind
-
[D] Alternatives to fb Hydra?
I have a lightweight package that I use that has all the main things I wanted from hydra or gin-config. It's here and it's pretty tiny in terms of lines of code: https://github.com/pseeth/argbind
spock
- Managing complex configurations any other way would be highly illogical
- [D] Alternatives to fb Hydra?
-
Why you should use Data Classes in Python
(Note: I wrote a library called spock that was originally based on dataclasses and then shifted to attrs. In the end attrs was just the better and more fully fledged library for what I needed so I’ve always preferred attrs over dataclasses since then)
-
Is Spock-Config the only tool that integrates object-oriented config files and command-line interfaces?
Spock-Config allows one to create OO configuration files. That's how I roll. I currently use PYdantic settings and it's great. But it does not offer command-line re-configuration of what you have in the OO config file.
- My first Python project: reference finder
- Python 3.11 will now have tomllib - Support for Parsing TOML in the Standard Library
-
Spock - Managing complex configurations any other way would be highly illogical...
Check out more in the docs or on GitHub
-
[D] I'm new and scrappy. What tips do you have for better logging and documentation when training or hyperparameter training?
We wrote Spock which actually sits in the middle ground between Hydra and OmegaConf (I’m of the same opinion that Hydra does a little too much feature wise). You can do hierarchical composition within the markdown of any JSON, YAML, or TOML files by simply using the config argument. No code needed to merge. Docs are here if you’re interested.
-
[D] Tools to avoid writing tons of scripts
Spock
What are some alternatives?
xpflow - Python nested loops as classes for improved readability and modularity
gin-config - Gin provides a lightweight configuration framework for Python
pyrallis - Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!
dvc - 🦉 ML Experiments and Data Management with Git
hydra - Hydra is a framework for elegantly configuring complex applications
strictyaml - Type-safe YAML parser and validator.
reference-finder - Matches PDFs to sentences in text or docx file
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
traitlets - A lightweight Traits like module
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
tomli - A lil' TOML parser
PyDGN - A research library for automating experiments on Deep Graph Networks