SnackBase – Open-source, GxP-compliant back end for Python teams
Hi HN, I’m the creator of SnackBase. I built this because I work in Healthcare and Life Sciences domain and was tired of spending months building the same "compliant" infrastructure (Audit Logs, Row-Level Security, PII Masking, Auth) before writing any actual product code. The Problem: Existing BaaS tools (Supabase, Appwrite) are amazing, but they are hard to validate for GxP (FDA regulations) and often force you into a JS/Go ecosystem. I wanted something native to the Python tools I already use. The Solution: SnackBase is a self-hosted Python (FastAPI + SQLAlchemy) backend that…
In plain words
SnackBase is an open-source, self-hosted backend built with FastAPI and SQLAlchemy for Python teams in healthcare and life sciences. It provides GxP-compliant infrastructure including immutable audit logs, row-level security, PII masking, and authentication, eliminating months of repetitive compliance work. Unlike existing BaaS platforms, it integrates natively with Python ecosystems and allows business logic to be written directly in Python rather than requiring separate webhooks or runtimes.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, I’m the creator of SnackBase. I built this because I work in Healthcare and Life Sciences domain and was tired of spending months building the same "compliant" infrastructure (Audit Logs, Row-Level Security, PII Masking, Auth) before writing any actual product code. The Problem: Existing BaaS tools (Supabase, Appwrite) are amazing, but they are hard to validate for GxP (FDA regulations) and often force you into a JS/Go ecosystem. I wanted something native to the Python tools I already use. The Solution: SnackBase is a self-hosted Python (FastAPI + SQLAlchemy) backend that includes: Compliance Core: Immutable audit logs with blockchain-style hashing (prev_hash) for integrity. Native Python Hooks: You can write business logic in pure Python (no webhooks or JS runtimes required). Clean Architecture: Strict separation of layers. No business logic in the API routes. The Stack: Python 3.12 + FastAPI SQLAlchemy 2.0 (Async) React 19 (Admin UI) Links: Live Demo: https://demo.snackbase.dev Repo: https://github.com/lalitgehani/snackbase The demo resets every hour. I’d love feedback on the DSL implementation or the audit logging approach.
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