SQLBuild

Verify early. Test properly. Deploy reversibly. SQL pipelines with the rigor of real software.

Valid isn't the same as correct. Your SQL compiles, runs, and returns rows; none of that means the number is right, and a silently-wrong number a stakeholder already trusted is the bug that actually hurts.

SQLBuild brings software-engineering rigor to SQL pipelines: catch errors before the warehouse runs them, test your logic locally, and opt into change-aware execution when you need it. It is a standalone, open-source framework for building SQL and Python data pipelines.

All state is persisted as append-only tables in the warehouse alongside your data: no external state database, no manifest files, no paid add-on. Start with straightforward SQL models, then add ingestion, Python nodes, and opt-in virtual environments as your project grows.

Key features

  • Test your logic, not just your columns. Multi-model SQL tests resolve every intermediate model from its real SQL, plus end-to-end scenarios with local DuckDB replay for fast CI with no warehouse. Catch wrong logic before it ships, not just nulls.
  • Verify early. Define models as SQL files with MODEL() headers. SQLBuild resolves references, validates SQL, infers columns, checks contracts, and computes column lineage before anything runs, all offline. It fails at compile, not halfway through a warehouse run.
  • Fast and open static analysis. SQL parsing, validation, column inference, lineage, and transpilation run on Polyglot, a Rust SQL engine (MIT, 32+ dialects), so compile stays fast on large projects. The analysis is part of the Apache-2.0 core: no proprietary engine, no login, no paid tier.
  • Audits that block bad data. Audits run before data reaches the target table. Full table builds materialize into a staging table and only promote if audits pass; incremental models validate each batch before DML.
  • Deploy reversibly (opt-in). Virtual environments add instant low-copy branching, partial promotion, rollback, checkpoints, and reconciliation. Opt-in, not a tax you pay upfront.
  • Opt-in change-aware execution. Models, seeds, UDFs, and Python nodes are fingerprinted, and source freshness is tracked. In virtual environments, pass --changes-only or set changes_only = true to skip work that is already current; commands otherwise run the full selected scope.
  • Warehouse-native state. All change-tracking state lives in append-only tables (_sqlbuild_fingerprints, _sqlbuild_source_freshness, _sqlbuild_node_results) in your warehouse schemas. No external state machine, no corruption risk.
  • Cursor-based incremental processing. Automatic gap detection and resume, with microbatch mode for large ranges. No external checkpoint to maintain.
  • Ingestion and Python nodes. Load external data with Python @loader functions, and run @task, @asset, and @check nodes as first-class members of the same DAG as your SQL models.

See the documentation for the full feature set, including providers, lifecycle hooks, Python macros, UDFs, custom materializations, data diffs, zero-copy cloning, and virtual environments. To coordinate dbt and SQLBuild projects, see the dbt compatibility guide.

Quick start

pip install sqlbuild
# or
uv pip install sqlbuild

Create and run the included playground project:

sqb playground waffle-shop
cd waffle-shop
sqb plan
sqb build
sqb test

Example

A model is a SQL file with a MODEL() header and a SELECT. References use __ref() and __source(), and configuration, schema, and audits are declared inline:

MODEL (
  materialized table,
  columns (
    order_id (audits [not_null, unique]),
  ),
  tags [marts],
);

SELECT
  o.order_id,
  o.customer_id,
  p.amount_cents AS total_cents
FROM __ref("stg_orders") o
JOIN __ref("stg_payments") p USING (order_id)

A unit test mocks sources and asserts on the model, resolving every intermediate model automatically:

TEST();

WITH
__source__raw__orders AS (
  @mock_orders()
),
__source__raw__payments AS (
  SELECT
    1 AS payment_id,
    1 AS order_id,
    1500 AS amount_cents,
    'credit_card' AS method
),
__expected__fact_orders AS (
  SELECT 1 AS order_id, 100 AS customer_id, 1500 AS total_cents
)
SELECT 1

See the documentation for incremental models, scenarios, loaders, and more.

Kata SQL architecture checks

Kata is SQLBuild's opt-in, error-only SQL model shape checker. It runs offline over the compiled project, reports coded faults with remediations, and never rewrites SQL. Its built-in lifecycle is native: Rust resolves rule policy, parses each model, evaluates built-ins, applies suppressions, and owns the persistent cache and deterministic result ordering.

Kata is disabled until the project selects at least one rule. Select the complete built-in policy in sqlbuild_project.toml with its namespace prefix:

[kata]
select = ["SQBK"]

SQBK activates every built-in rule. Narrower prefixes such as SQBKS activate one family, exact codes select individual rules, and ignore removes matching rules. Audit, unit-test, and custom-rule test-case minimums each default to one and can be overridden under [kata.thresholds].

Kata also keeps model ownership shallow and explicit. Configured level paths separate warehouse layers from domain ownership; every owner is a leaf or a branch, subdomain depth defaults to one, and declaration roles remain bounded flat-or-grouped containers:

[kata.layout]
levels = ["staging", "intermediate/clean", "intermediate/enriched", "mart"]
domain_roots = ["market/betfair", "model/horsenet/ratings"] # optional disambiguation

[kata.thresholds]
max_subdomain_depth = 1
min_shared_owner_prefix_directories = 2

Run sqb kata, inspect metadata with sqb kata rule SQBKS101, and generate agent guidance from the same active ruleset with sqb kata skills. Use sqb kata skills --check in CI to detect stale guidance. --json, --select, and --exclude are available for automation and model scoping.

Repository rules use the public API:

from sqlbuild.kata import RuleContext, kata


@kata(
    code="XSQBKP001",
    family="prices",
    slug="typed-currency",
    message="price models must declare a currency column",
    remediation="Declare currency in the MODEL columns contract at this model path.",
)
def typed_currency(*, model, ctx: RuleContext):
    return [] if any(column.name == "currency" for column in ctx.declared_columns) else [
        ctx.path_fault()
    ]

Load repository-owned files through rule_paths = ["kata/rules"] or dotted packages through rule_modules. Test each custom rule with RuleCase and evaluate_rule. Selecting custom rules disables caching unless [kata.cache] require_cacheable = true; cacheable rules may import only the supported pure modules and must access project files through RuleContext.

Python is used only for the SQLBuild compiler adapter and selected custom rules. Built-in-only runs cross into the native engine once as a compiled model batch and do not materialize or walk Python AST objects. A selected custom rule can still use the public RuleContext and raw Polyglot AST escape hatch; its findings rejoin native suppression, ordering, and cache policy.

Exact rule_exceptions require a rule, file, and reason and fail when stale. Broader rule_ignores and lone-star allowances also require reasons but are intentionally not stale-checked.

Supported adapters

Adapter Status
DuckDB Supported
MotherDuck Supported
Snowflake Supported
BigQuery Supported
Databricks Supported
PostgreSQL Supported
SQL Server Supported

ClickHouse, Redshift, Trino, Spark, and Athena are on the way.

Snowflake cost estimates

Native Snowflake builds automatically show a compact per-run busy-compute estimate. SQLBuild attributes visible overlapping query intervals fairly across active queries, converts attributed seconds using the warehouse-size credit rate, and estimates USD from the configured rate:

[cost]
usd_per_credit = 3.00

The default is 3.00 USD per credit and is visibly marked as a default. Configure the value with your Snowflake contract rate. Use sqb cost, sqb cost latest, sqb cost <run_id>, or sqb cost history --since 7d to inspect persisted records. --json and --json-output PATH provide a versioned, decimal-safe output contract. Pending detail records are refreshed from Snowflake when inspected again.

These values are attributed compute credits and estimated cost, not Snowflake-billed credits or invoice reconciliation. The estimate uses only query history visible to the executing role and does not reconstruct invisible concurrent work, warehouse resume or idle tail, the 60-second minimum, cloud-services credits, contract adjustments, or multi-cluster billing. Run metadata and query IDs are stored under target/runs/<run_id>/; raw SQL is not persisted.

Documentation

Full documentation is available at docs.sqlbuild.com.

Contributing

We welcome contributions. Please see CONTRIBUTING.md for guidelines.

License

SQLBuild is licensed under the Apache License 2.0.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.83.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for kvlonge from gravatar.com kvlonge

Requires

Python >=3.12

Provides Extra

bigquery dagster databricks dbt dlt ingestr postgres rivers snowflake sqlserver

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlbuild-0.69.0.tar.gz (1.3 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

sqlbuild-0.69.0-cp312-abi3-win_amd64.whl (5.3 MB view details)

Uploaded CPython 3.12+Windows x86-64

sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.12+manylinux: glibc 2.17+ x86-64

sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.5 MB view details)

Uploaded CPython 3.12+manylinux: glibc 2.17+ ARM64

sqlbuild-0.69.0-cp312-abi3-macosx_11_0_arm64.whl (5.2 MB view details)

Uploaded CPython 3.12+macOS 11.0+ ARM64

sqlbuild-0.69.0-cp312-abi3-macosx_10_12_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.12+macOS 10.12+ x86-64

File details

Details for the file sqlbuild-0.69.0.tar.gz.

File metadata

  • Download URL: sqlbuild-0.69.0.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for sqlbuild-0.69.0.tar.gz
Algorithm Hash digest
SHA256 12d5f5674b0253ba5e6e4fb8790c2579ecf01d816a230757d2d02799c376a5c6
MD5 9021ea03ffb6563bb47be6778983248f
BLAKE2b-256 d74cec07223846a106951a2278231ae6d8219aee6943de226df909e8ba1352fa

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0.tar.gz:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlbuild-0.69.0-cp312-abi3-win_amd64.whl.

File metadata

  • Download URL: sqlbuild-0.69.0-cp312-abi3-win_amd64.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: CPython 3.12+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for sqlbuild-0.69.0-cp312-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 38a2595ed1bb2b17617fe3b8aacea366bf5292bcf40dbd10337ea57f0521f035
MD5 9f887ec1fbf374ab6b16bf0bd08502ab
BLAKE2b-256 d8a64bf7ba9a1c7d0937a824302e19303acc00b0898a1925ac8ea7dd50e9fed1

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0-cp312-abi3-win_amd64.whl:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9df27923a91af817384a03d745193d7e77d115c38fb13568b1f15f819b32a4f
MD5 5e1df844cd5e30163da2ebc54b32a2d9
BLAKE2b-256 a1b037e2b27d2116d775efdfcc824045458f68bd919e4775de0d5d456cc30a48

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ad59ef7e89b47e916f3474352628af4f242ca522c7134e4c44f8a285b4850597
MD5 c325a28b51334af44ec0fe4baf715a0a
BLAKE2b-256 8fc334d77f0c845785092909e055cc1dee3c927cb8f21b779881a84fcac7adb4

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0-cp312-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlbuild-0.69.0-cp312-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlbuild-0.69.0-cp312-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 61484356708c73f0ee41d8a2e190ab692c255b2fb3288511265cd332b8a07f73
MD5 5b7fa940f0c55e3136660f3750841439
BLAKE2b-256 8db18008b10070f355e588e410f249859149d5d05e03713cc41bb0cb79fb88b1

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0-cp312-abi3-macosx_11_0_arm64.whl:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sqlbuild-0.69.0-cp312-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for sqlbuild-0.69.0-cp312-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 20633b4ad08eaf4d94a5c3de04ba692dd4b2087f8ee7cbd314c497b3b8d4b419
MD5 8c68723d16abb01445d43e678aa9dfb1
BLAKE2b-256 2cdc292fcf27f900973d916c4e0f5afd50264f02bf0d4dfeb57de6e567604eb1

See more details on using hashes here.

Provenance

The following attestation bundles were made for sqlbuild-0.69.0-cp312-abi3-macosx_10_12_x86_64.whl:

Publisher: publish.yml on chio-labs/sqlbuild

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.83.2

6 files

0.83.1

6 files

0.83.0

6 files

0.82.6

6 files

0.82.5

6 files

0.82.4

6 files

0.82.3

6 files

0.82.2

6 files

0.82.1

6 files

0.82.0

6 files

0.81.2

6 files

0.81.1

6 files

0.81.0

6 files

0.80.2

6 files

0.80.1

6 files

0.80.0

6 files

0.79.0

6 files

0.78.0

6 files

0.77.2

6 files

0.77.1

6 files

0.77.0

6 files

0.76.9

6 files

0.76.8

6 files

0.76.7

6 files

0.76.6

6 files

0.76.5

6 files

0.76.4

6 files

0.76.3

6 files

0.76.2

6 files

0.76.1

6 files

0.76.0

6 files

0.75.1

6 files

0.75.0

6 files

0.74.4

6 files

0.74.3

6 files

0.74.2

6 files

0.74.1

6 files

0.74.0

6 files

0.73.0

6 files

0.72.2

6 files

0.72.1

6 files

0.72.0

6 files

0.71.6

6 files

0.71.5

6 files

0.71.4

6 files

0.71.3

6 files

0.71.2

6 files

0.71.1

6 files

0.71.0

6 files

0.70.0

6 files

This release

0.69.0 This release

6 files

0.68.0

6 files

0.67.2

6 files

0.67.1

6 files

0.67.0

6 files

0.66.6

6 files

0.66.5

6 files

0.66.4

6 files

0.66.3

6 files

0.66.2

6 files

0.66.1

6 files

0.66.0

6 files

0.65.6

6 files

0.65.5

6 files

0.65.4

6 files

0.65.3

6 files

0.65.2

6 files

0.65.1

6 files

0.65.0

6 files

0.64.0

6 files

0.63.8

6 files

0.63.7

6 files

0.63.6

6 files

0.63.5

6 files

0.63.4

6 files

0.63.3

6 files

0.63.2

6 files

0.63.1

6 files

0.63.0

6 files

0.62.2

6 files

0.62.1

6 files

0.62.0

6 files

0.61.0

6 files

0.60.0

6 files

0.59.0

6 files

0.58.0

6 files

0.57.0

6 files

0.56.2

6 files

0.56.1

6 files

0.56.0

6 files

0.55.9

6 files

0.55.8

6 files

0.55.7

6 files

0.55.6

6 files

0.55.5

6 files

0.55.4

6 files

0.55.3

6 files

0.55.2

6 files

0.55.1

6 files

0.55.0

6 files

0.54.2

6 files

0.54.1

6 files

0.54.0

5 files

0.53.0

2 files

0.52.0

2 files

0.51.0

2 files

0.50.0

2 files

0.49.0

2 files

0.48.7

2 files

0.48.6

2 files

0.48.5

2 files

0.48.4

2 files

0.48.3

2 files

0.48.2

2 files

0.48.1

2 files

0.48.0

2 files

0.47.0

2 files

0.46.0

2 files

0.45.5

2 files

0.45.4

2 files

0.45.3

2 files

0.45.2

2 files

0.45.1

2 files

0.45.0

2 files

0.44.4

2 files

0.41.1

2 files

0.41.0

2 files

Yanked

0.40.1

2 files

Yanked reason: Just a shitty release

Yanked

0.40.0

2 files

Yanked reason: shitty release

0.39.3

2 files

0.39.2

2 files

0.39.1

2 files

0.39.0

2 files

0.38.6

2 files

0.38.5

2 files

0.38.4

2 files

0.38.3

2 files

0.38.2

2 files

0.38.1

2 files

0.38.0

2 files

0.37.7

2 files

0.37.6

2 files

0.37.5

2 files

0.37.4

2 files

0.37.3

2 files

0.37.2

2 files

0.37.1

2 files

0.36.0

2 files

0.35.0

2 files

0.34.0

2 files

0.33.0

2 files

0.32.0

2 files

0.31.0

2 files

0.30.1

2 files

0.30.0

2 files

0.29.0

2 files

0.28.1

2 files

0.28.0

2 files

0.27.0

2 files

0.26.2

2 files

0.26.1

2 files

0.26.0

2 files

0.25.1

2 files

0.25.0

2 files

0.24.0

2 files

0.23.0

2 files

0.22.1

2 files

0.22.0

2 files

0.21.0

2 files

0.20.1

2 files

0.20.0

2 files

0.19.0

2 files

0.18.0

2 files

0.16.2

2 files

0.16.1

2 files

0.15.0

2 files

0.14.0

2 files

0.13.0

2 files

0.12.0

2 files

0.10.0

2 files

0.9.0

2 files

0.8.0

2 files

0.7.0

2 files

0.4.0

2 files

0.3.0

2 files

0.2.1

2 files

0.2.0

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page