Hey everyone! 👋 I've been deep in the weeds lately trying to choose a tool for experiment tracking and model management in a pure Python, open-source environment. My team's workflow is pretty much all in Python, and we're not looking for a hosted SaaS solution—we want to own our data and run it ourselves.
The two contenders that keep coming up are **Weights & Biases (W&B)** and **Guild AI**. I've done some hands-on testing with both, and they take *very* different approaches.
**W&B** feels like a full-featured platform. The UI is gorgeous and the collaboration features are top-notch. Even in a self-hosted scenario (which they support), you get a powerful server. But I sometimes feel its complexity. It's a bit of a "batteries-included" system, which is great, but I wonder if it's overkill for a small, scrappy team that just wants to log experiments, compare runs, and maybe do some hyperparameter optimization.
**Guild AI**, on the other hand, is a command-line first, dead-simple tool. You add a few lines to a `guild.yml` file, run `guild run`, and you're off. It's incredibly lightweight and feels like a natural extension of the Python ecosystem. It stores everything locally in flat files, which is both a pro (simplicity, total control) and a con (you have to build your own dashboards and collaboration layers if you need them).
My main question for the community is: **For a team that lives in terminals and Jupyter notebooks, values open-source and self-hosting, and needs to keep things simple—which path did you choose and why?**
A few specific things I'm weighing:
* **Setup & Maintenance:** Guild is trivial to install (`pip install guildai`). W&B server setup is more involved.
* **Visualization:** W&B's web UI wins for out-of-the-box dashboards. Guild requires more manual work or integration.
* **Workflow Integration:** Both hook into Python scripts easily. Guild's approach feels more "Unix-like."
Would love to hear your experiences, especially if you've switched from one to the other! What were the pain points or "aha" moments?