Our great sponsors
-
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.
-
spock
spock is a framework that helps manage complex parameter configurations during research and development of Python applications (by fidelity)
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
This is much lighter but it's a pure-python config flow manager I made where you can chain experiment classes by adding them (xp1()+xp2() ) https://github.com/sileod/xpflow
-
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
-
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!
Pyrallis quite nicely builds on top of that to support e.g. command line arguments.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.