Django ORM Inspector

Analyze Django models to output ORM-to-SQL mappings, sample queries, and relation insights for performance tuning.

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About This Tool

The Django ORM Inspector analyzes a Django project's models to reveal how the ORM translates to SQL and where inefficiencies may arise. It targets backend developers, DB engineers, and performance teams who want early visibility during design, refactoring, or pre-deployment reviews. The tool outputs an inspection report with model-to-SQL mappings, relationship summaries, and sample queries, plus practical recommendations on indexing and fetch strategies. It performs static analysis only, and never executes application code or writes to the database.

It loads the Django project structure, identifies the target model, and collects field types, relationships, and related managers. Using Django's introspection APIs, it constructs representative SELECT patterns and fetch paths, such as select_related and prefetch_related variants. For each path, it generates a sample SQL block and a scaled estimate of rows involved, enabling teams to reason about worst-case and average-case loads without running queries. The output is designed to support design reviews and performance planning.

The tool's value includes early detection of N+1 patterns, guidance on indexing and fetch strategy, and a structured report that fits into documentation or CI dashboards. Advanced users can adjust depth, choose granular vs aggregated samples, and export the report for documentation or CI pipelines. It supports multi-model analysis and cross-app relationships across common Django setups, emphasizing standard ORM behavior rather than vendor-specific features.

How to Use

  1. Provide inputs: project_path, model_name, database alias.
  2. Configure depth and fetch strategy.
  3. Run analysis to generate model-to-SQL mapping and samples.
  4. Review outputs with guidance on indexing and fetch paths.
  5. Export the report for documentation or CI.
How to use django orm inspector

Frequently Asked Questions

Find Quick Answers

What is this tool for?
It statically analyzes Django ORM models to reveal how queries are generated, identify potential inefficiencies, and provide sample SQL and index guidance without touching live data.
What inputs are required?
Minimum inputs are the project_path and model_name; optional app_label and database alias can refine scope. Defaults apply where appropriate, enabling quick analysis.
Does it execute queries?
No. It uses static introspection to produce representative SQL samples and performance guidance rather than running against a database.
What outputs are produced?
A structured report with model relationships, sample SQL, estimated query counts, and optimization recommendations suitable for review and documentation.
Which Django versions are supported?
Compatible with Django 2.2 through 4.x and Python 3.8+, depending on runtime environment; relies on Django's standard introspection APIs.

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