Overview

Honeyframe is a decision-support platform for organizations that need to ingest, govern, and analyze operational data without standing up a full data-engineering team. This Documentation section is the reference manual: every concept, every config, every screen. For task-shaped guides see Knowledge; for code-level integration see Developer.

Honeyframe is available in three deployment tiers — Cloud (managed by us), Enterprise (BYOC), and Self-Hosted (your own infrastructure). The product is the same across all three; the manual focuses on Self-Hosted because that tier requires the most operational detail.

Deployment Tiers

Cloud, Enterprise, and Self-Hosted — pick the tier that matches your team and constraints.

Choose a tier →

Installation

System requirements, standard install, and custom deployment options (reverse proxy, TLS, LDAP, systemd).

Set up Honeyframe →

Security

Users, groups, permissions, LDAP, audit logging, and data policies — the full RBAC model.

Configure access →

Connectors

Supported sources and destinations, plus how to author custom connectors.

Connect your data →

What's in this section

• Deployment Tiers — Cloud, Enterprise, Self-Hosted: pick the right one for your team
• Installation — get Honeyframe running on your infrastructure (Self-Hosted)
• Security — users, groups, permissions, LDAP, audit logging, data policies
• Connectors — sources and destinations
• Recipes — transformation building blocks
• Flow — orchestrating recipes into pipelines
• Dashboards — authoring and publishing dashboards
• API — high-level platform API (for code-level reference, see Developer)