Dac vs GeologicAI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionDacGeologicAI
PurposeInteractive dashboards as codeGeological core scanning & AI logging
PricingFree tier availableContact for quote
Target UserData engineers, analysts, AI agentsMining companies, geologists
DeploymentSelf-hosted single Go binaryService-based (scanning + analysis)
IntegrationPostgres, Snowflake, BigQuery, Databricks, and moreRMSP, Drill Hole Optimizer, Edge Copper
Key FeatureDashboards defined in YAML/TSX, 21 chart typesMulti-sensor core scanning (XRF, LiDAR, LIBS)
Try DacTry GeologicAI
Dac
Dac

Define, validate, and serve version-controlled YAML or TSX dashboards from a single Go binary.

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GeologicAI
GeologicAI

Multi-sensor drill core scanning (RGB, XRF, hyperspectral, LiDAR, LIBS) plus AI-assisted logging and resource modeling for hard-rock miners.

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Pricing
Freemium
Contact Sales
Plans
$0/forever
$0.01/credit, pay-as-you-go
Custom
—
Popularity
3 views
7.4k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLI
Web
Categories
📊 Data & Analytics🧮 Business Intelligence
👷 Construction & Field Service
Features
YAML dashboards for declarative definitions with no code
TSX dashboards with loops, variables, and conditionals for dynamic layouts
21 chart types including sankey, waterfall, XMR, candlestick, and treemap
Metric, table, text, image, and divider widgets alongside charts
Semantic layer in semantic/ for reusable metrics and dimensions with generated SQL
Interactive filters: date pickers, numeric inputs, dropdowns, multiselects, search
Jinja templating injects filter values into SQL and re-runs only affected widgets
Live reload on file save — no restart or rebuild
Static export to self-contained HTML via dac build with results baked in
Validation and linting in CI via dac validate and dac check
Data export: chart and table data as CSV, dashboard and widget views as PNG/PDF
Google Slides export rendering dashboards as slide decks with baked-in data
Single Go binary with an embedded React frontend, runs locally or on a server
AI agent support via dac skills install for Claude Code, Codex, or OpenCode
Connections to 30+ platforms via Bruin connections in .bruin.yml
Multi-sensor core scanning combining RGB, XRF, hyperspectral and LiDAR in a single integrated pass
LIBS-based drill core analysis detecting rare-earth elements (REEs) and light elements
AI-assisted core logging on the cloud-connected Digital Core Table
Resource Knowledge Systems (RKS) for integrated multi-sensor data analysis
Geologists review and confirm AI-generated logs rather than describing core from scratch
Reported 4x faster logging than manual core description (vendor figure)
Reported sub-48-hour turnaround from core to data products (vendor figure)
Reported +400% project acceleration across the mining cycle (vendor figure)
Resource modeling with geostatistics and uncertainty quantification
Drill Hole Optimizer for prioritizing and planning drill programs
Integration with RMSP and other industry-standard mining software for mine planning
Digital core collaboration for distributed geology teams
Consulting services for core scanning workflows
Training services for scanning and logging teams
Resource exploration strategy services for critical minerals programs
Integrations
Postgres
MySQL
Snowflake
BigQuery
Redshift
Databricks
ClickHouse
DuckDB
Amazon S3
MongoDB
Elasticsearch
CrateDB
Google Analytics 4
GitHub
Slack
RMSP
Drill Hole Optimizer

Who should pick which

  • Mining company exploring critical minerals
    Pick: GeologicAI

    GeologicAI offers multi-sensor core scanning (including LIBS for REEs) and AI logging, accelerating projects by 400% - ideal for large-scale mining.

  • Data engineer needing version-controlled dashboards
    Pick: Dac

    Dac's code-first approach (YAML/TSX) integrates with CI/CD and supports 21 chart types, perfect for reproducible dashboard workflows.

  • Small exploration team with limited budget
    Pick: Dac

    Dac is free to start and doesn't require expensive scanning hardware; suitable for data visualization, not geological analysis.

  • Geologist wanting AI-assisted logging
    Pick: GeologicAI

    GeologicAI's Digital Core Table and integration with RMSP provide consistent, fast logging (4x faster) with fewer errors.

  • AI agent building dashboards programmatically
    Pick: Dac

    Dac explicitly supports AI agent usage (Claude Code, Codex) and can generate dashboards programmatically from code.

Frequently Asked Questions

Can GeologicAI detect rare-earth elements?

Yes, through its Lumo Analytics acquisition, GeologicAI integrates LIBS-based analysis to detect rare-earth elements (REEs) and light elements.

Is Dac free?

Dac offers a freemium model; it is free to start with the open-source version, but paid tiers may offer additional features (not specified in facts).

What integrations does GeologicAI support?

GeologicAI integrates with RMSP, Drill Hole Optimizer, and Edge Copper for resource modeling and mine planning.

What databases does Dac support?

Dac integrates with Postgres, MySQL, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, DuckDB, Amazon S3, MongoDB, Elasticsearch, and CrateDB.

Which tool is better for non-technical users?

Neither is ideal for non-technical users: GeologicAI requires geological expertise, and Dac requires YAML/TSX coding. However, GeologicAI provides consulting services.

Can Dac be used for real-time dashboards?

No, Dac is not designed for real-time streaming dashboards; it queries databases on refresh.

Does GeologicAI offer hardware scanning?

Yes, GeologicAI provides multi-sensor core scanning (RGB, XRF, hyperspectral, LiDAR, LIBS) with sub-48-hour turnaround.

Is Dac suitable for public dashboards?

Yes, Dac supports static HTML export for self-contained dashboard files that can be hosted publicly.

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Explore each tool further

Dac
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GeologicAI
View GeologicAI reviewGeologicAI alternatives

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Last reviewed: July 3, 2026