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Open-source agentic data engineering harness.

Give any AI agent 100+ deterministic tools for SQL, lineage, dbt, FinOps, and warehouse connectivity. Deliver benchmark-leading results for agentic data workflows.

$npm install -g altimate-code

#1 on the leading agentic data benchmarks

ADE-Bench

dbt analytics-engineering tasks

#1
74.4%altimate-code
altimate-code(Sonnet 4.6)74.4%
Cortex Code CLI(Opus 4.6)65%
dbt Labs(Sonnet 4.5)59%
Claude Code(Sonnet 4.6 · baseline)40%
View full results

DAB Bench

multi-database agent tasks

#1
60.4%altimate-code
Altimate Code(Claude Sonnet 4.6)60.4%
Pi Coding Agent(Claude Opus 4.6)56%
PromptQL(Gemini 3.1 Pro)54.3%
PromptQL(Claude Opus 4.6)50.8%
View full results

100+ purpose-built, deterministic tools for data agents — SQL analysis, column-level lineage, dbt, FinOps, and warehouse connectivity.

Why not just use Claude Code?

Claude Code is a great general coder. It has no data-specific tools.

TaskClaude Codealtimate code
Writing Python/JS codeYesNo
SQL anti-pattern detectionNoYes
Column-level lineageNoYes
Cost predictionNoYes
FinOps analysisNoYes
Schema inspectionNoYes
dbt model scaffoldingPartiallyYes (better)
Cross-dialect translationNoYes
PII detectionNoYes
General code reviewYesSupplement with data checks
File editingYesYes (in builder mode)

Up and running in 5 minutes

1

Install

$npm install -g altimate-code
2

Connect your LLM

altimate# Launch the TUI
/connect# Interactive setup

Or set an environment variable and skip the prompt:

exportANTHROPIC_API_KEY=sk-ant-...
altimate
FreeNo API key? Use the Altimate LLM Gateway — 10M free tokens, dynamically routes across Sonnet 4.6, Opus 4.6, GPT-5.4 and more.
3

Connect your warehouse

If you have a profiles.yml — either in your home directory's .dbt/ folder, in your project repo, or pointed to by DBT_PROFILES_DIR:

/discover
Quickstart guide

Works with your data stack

SnowflakeSnowflake
BigQueryBigQuery
DatabricksDatabricks
PostgreSQLPostgreSQL
dbtdbt
AirflowAirflow
GitHubGitHub
RedshiftRedshift
MySQLMySQL
JiraJira
LinearLinear
DuckDBDuckDB
DagsterDagster
Google SheetsGoogle Sheets
SnowflakeSnowflake
BigQueryBigQuery
DatabricksDatabricks
PostgreSQLPostgreSQL
dbtdbt
AirflowAirflow
GitHubGitHub
RedshiftRedshift
MySQLMySQL
JiraJira
LinearLinear
DuckDBDuckDB
DagsterDagster
Google SheetsGoogle Sheets

Bring your own LLM

AnthropicAnthropic
OpenAIOpenAI
GoogleGoogle
AWS BedrockAWS Bedrock
AzureAzure
OllamaOllama
OpenRouterOpenRouter
MistralMistral
GroqGroq
xAIxAI
CopilotCopilot
AnthropicAnthropic
OpenAIOpenAI
GoogleGoogle
AWS BedrockAWS Bedrock
AzureAzure
OllamaOllama
OpenRouterOpenRouter
MistralMistral
GroqGroq
xAIxAI
CopilotCopilot

Why altimate-code

Everything your AI agent needs to work with data — built in.

Bring Your Own LLM

Works with Anthropic, OpenAI, Google, AWS Bedrock, Azure, Ollama, and 10+ more providers. No vendor lock-in.

Cross-Platform

Claude Code, Cursor, Windsurf, VS Code, and any MCP-compatible client. One install, everywhere.

100+ Deterministic Tools

SQL analysis, column-level lineage, dbt integration, FinOps, warehouse connectivity — no hallucinations.

Column-Level Lineage

Trace data flow across your entire warehouse — from source to mart, column by column.

FinOps & Cost Optimization

Identify expensive queries, get optimization recommendations, and track warehouse spend.

Data Governance

Built-in governance checks, policy enforcement, and compliance validation across your data stack.

What can you do

Type / in the TUI to see all available skills.

I want to…Skill
Optimize a slow query/query-optimize
Review SQL before merging/sql-review
Check Snowflake costs/cost-report
Scan for PII exposure/pii-audit
Debug a dbt error/dbt-troubleshoot
Add tests to a model/dbt-test
Document a model/dbt-docs
Analyze downstream impact/dbt-analyze
Create a new dbt model/dbt-develop
Translate SQL dialects/sql-translate
Check migration safety/schema-migration
Teach a pattern/teach

Pro tip:You don't need to memorize these. Just describe what you want in plain English — the agent routes to the right skill automatically.

See it in action

Real-world pipelines built end-to-end with a single prompt

US Home Sales Data Science Dashboard
$Download all available public US home sales data sets. Process and merge them into a unified format. Perform advanced data science — K-means, OLS regressions, and more. Build a single interactive dashboard with violin plots, Q-Q plots and lollipop charts. Use a R/ggplot2 aesthetic.
Snowflake vs Databricks Benchmark
$Deploy the NovaMart platform to both Snowflake and Databricks, testing multiple warehouse sizes on each. Run the full data pipeline and benchmark queries, capturing execution time, credits/DBUs consumed, and bytes scanned. Generate a cost analysis with a recommendation matrix.
NYC Taxi Coverage Dashboard
$Take the New York City taxi cab public dataset, bring up a DuckDB instance, and build a dashboard showing areas of maximum coverage and lowest coverage. Set up a complete dbt project with staging, intermediate, and mart layers, and create an Airflow DAG to orchestrate the pipeline.
Olist E-Commerce Analytics Pipeline
$Build an end-to-end e-commerce analytics pipeline using the Olist Brazilian E-Commerce dataset. Use Azure Data Factory to ingest CSV files from Blob Storage into Snowflake raw tables, then orchestrate Snowflake stored procedures to transform data through raw → staging → mart layers (star schema with customer, product, seller dimensions and orders fact table). Create mart views for customer lifetime value, seller performance scores, and delivery SLA compliance.
Global CO2 & Climate Explorer
$Build me an interactive Global CO2 & Climate Explorer dashboard using DuckDB-WASM running entirely in the browser, sourcing data from Our World in Data’s CO2 dataset. Give me surprising insights about who emits the most, how that’s changing, the equity angle of per-capita emissions, and which countries bear the most historical responsibility.

NYC Taxi Coverage Dashboard

Security FAQs

Open source. MIT licensed. One install.