mkahn5

mkahn5 / lattice

Public

Visual intelligence tool for Databricks workspaces. Builds a live ontology of Unity Catalog assets, compute, jobs, dashboards, and apps as entities with semantic relationships, enriched with cost attribution, lineage, and governance insights.

data-governance databricks fastapi knowledge-graph lineage
10
3
100% credibility
Found Mar 23, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Lattice creates interactive graphs of Databricks workspaces to visualize assets, compute resources, lineage, costs, and health metrics for data teams.

How It Works

1
👀 Discover Lattice

You hear about a friendly map that shows your data world in Databricks, making it easy to see connections and spot issues.

2
🚀 Add to your workspace

With a quick fork and setup in Databricks Apps, you bring Lattice into your space without hassle.

3
🌐 See your graph appear

In under a minute, your catalogs, tables, jobs, and apps light up as an interactive map you can explore.

4
⚙️ Tweak your view

Use the welcome guide to pick catalogs, add other workspaces, and check connections.

5
🔍 Dive into details

Click nodes to reveal costs, activity heat, owners, and what depends on them.

6
💡 Uncover insights

Filter by type, timeline, or tags to find expensive warehouses, unused tables, or risky changes.

🎉 Master your data setup

You now govern costs, clean up orphans, and plan changes confidently with your visual workspace map.

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Star Growth

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AI-Generated Review

What is lattice?

Lattice turns your Databricks workspace into an interactive graph canvas, mapping Unity Catalog assets like tables, schemas, jobs, warehouses, dashboards, apps, and AI endpoints as nodes with semantic edges for lineage, compute, and federation. It enriches everything with system table insights—cost attribution, query heat, orphan detection, and impact analysis—letting you filter by type, freshness, or tags, export JSON/PNG, and annotate via Delta tables. Built in TypeScript with React for the frontend and FastAPI plus Databricks SDK backend, it deploys as a serverless Databricks App in minutes.

Why is it gaining traction?

Unlike scattered github lattice boltzmann method sims, grid lattice github tools, or github visual studio code extensions for IDE viz, Lattice delivers a live, multi-workspace ontology with swimlane layouts, cost heatmaps, and blast-radius analysis right in your Databricks console—no exports needed. The hook? One-click focus on neighbors, activity timelines dimming stale assets, and JSON-LD exports for AI agents, all with graceful degradation if system tables lack access.

Who should use this?

Data platform engineers auditing large workspaces for governance, costs, or refactors; data teams tracing table-job lineage before deploys; AI/ML ops visualizing RAG pipelines from tables to vector indexes and serving endpoints. Ideal for orgs with Unity Catalog enabled, hitting 1k-5k assets where native UI falls short.

Verdict

Grab it if you're deep in Databricks—docs are thorough, setup is git-fork simple, and it shines for daily intel despite 10 stars and 1.0% credibility signaling early maturity. Scale limits and 30-day lineage windows mean tune for huge workspaces, but it's already indispensable for mid-size teams.

(198 words)

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