Predibase

core-platform

closed(proprietary post-training stack + turbo serving)

source

partial(LoRAX and Ludwig are adjacent OSS

OSS-components

LoRAX(open source multi-LoRA serving)+Ludwig(open source)

runs-on

Predibase-SaaS-or-customer-VPC

license

Proprietary(managed) with Apache-licensed LoRAX/Ludwig adjuncts

Predibase's founders created and still maintain the open-source LoRAX multi-LoRA serving stack and Ludwig, but the product scored here is the fine-tuning and reinforcement-fine-tuning platform, and that is proprietary managed SaaS running on Predibase's own cloud or inside a customer VPC. The open source sits at the serving and declarative-ML edges: an open periphery around a closed core, rather than an open core with paid extras on top. Because public repositories exist while the runtime itself does not ship, the platform counts as source-available rather than open source.

• https://pypi.org/pypi/predibase/json recorded 2026-08-09

  The JSON API's info object records license: null, classifiers: [], summary: null, and home_page: null for the predibase package (version 2025.10.3) on PyPI — no license or project metadata is declared for the published client library.

• https://files.pythonhosted.org/packages/f2/f0/6fb3406af8891fe08b8e5d3b325c39050f7616054bf0a73496277701356a/predibase-2025.10.3.tar.gz recorded 2026-08-09

  Extracted with Python's tarfile (106 members). README.md opens "## Predibase Python SDK"; PKG-INFO records "License: UNKNOWN"; no LICENSE file exists anywhere in the archive; setup.py registers only a console-script entry point (pbase=predibase.cli:main) and no license classifier. A case-insensitive grep of every decoded file for "vpc" found exactly one hit, in predibase/resources/datasets.py: ":param region: (str) Optional region to upload to. Only relevant for VPC customers with multiple dataplanes." This corrects a prior run's claim that the sdist contains no VPC reference.

• https://web.archive.org/web/20260107043258/https://docs.predibase.com/ recorded 2026-08-09

  The "Additional Capabilities" list states "SaaS or VPC deployment options: Deploy in our cloud or yours" and "UI and SDK: Deploy, fine-tune, and prompt via our UI or Python SDK" — access is through a hosted UI/SDK and a deployment-location choice, not a self-hostable code drop of the platform itself.

• https://github.com/predibase/lorax recorded 2026-08-09

  The repository title reads "Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs"; the repo metadata records "license":{"spdxId":"Apache-2.0","name":"Apache License 2.0"} and "archived":false. The serving engine that plugs into Predibase is public, OSI-licensed, and actively maintained, in contrast to the managed fine-tuning/training platform itself, which ships no equivalent repository.