spock
traitlets
| spock | traitlets | |
|---|---|---|
| 12 | 4 | |
| 115 | 602 | |
| 1.7% | 0.0% | |
| 7.0 | 7.7 | |
| 6 months ago | 14 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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spock
- Managing complex configurations any other way would be highly illogical
- [D] Alternatives to fb Hydra?
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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)
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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
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Spock - Managing complex configurations any other way would be highly illogical...
Check out more in the docs or on GitHub
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[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.
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[D] Tools to avoid writing tons of scripts
Spock
traitlets
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try traitlets
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Is Spock-Config the only tool that integrates object-oriented config files and command-line interfaces?
https://github.com/ipython/traitlets/pull/693 should help.
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An oral history of Bank Python
> This is loosely the same idea that drives React, ObservableHQ, Kafka, and other event-streaming architectures, but I first encountered this ~15 years ago at a bank.
See also the "observer pattern" [0]. It's a fun exercise to implement a reactive system in Python using the descriptor protocol [1]. IPython's traitlets library is an example of this in the wild [2].
[0]: https://en.wikipedia.org/wiki/Observer_pattern
[1]: https://docs.python.org/3/howto/descriptor.html
[2]: https://github.com/ipython/traitlets
What are some alternatives?
gin-config - Gin provides a lightweight configuration framework for Python
arctic - High performance datastore for time series and tick data
dvc - 🦉 ML Experiments and Data Management with Git
aiomonitor - aiomonitor is module that adds monitor and python REPL capabilities for asyncio application
strictyaml - Type-safe YAML parser and validator.
baize - Powerful and exquisite WSGI/ASGI framework/toolkit.
reference-finder - Matches PDFs to sentences in text or docx file
Maat - Validation and transformation library powered by deductive ascending parser. Made to be extended for any kind of project.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
hupper - in-process file monitor / reloader for reloading your code automatically during development
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
starlark - Starlark Language