data-tools
The GenAI-powered toolkit for automated data intelligence.
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- models.py
- relationships.py
- __init__.py
- bigquery.py
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- models.py
- duckdb.py
- models.py
- __init__.py
- mariadb.py
- models.py
- __init__.py
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- mysql.py
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- models.py
- oracle.py
- pandas.py
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- postgres.py
- models.py
- snowflake.py
- __init__.py
- models.py
- sqlite.py
- __init__.py
- models.py
- sqlserver.py
- __init__.py
- adapter.py
- factory.py
- models.py
- utils.py
- __init__.py
- models.py
- en-80k.txt
- di_l1_classifier_encoder_13052023.pkl
- di_l1_classifier_xgb_13052023.pkl
- errors.py
- base.py
- types.py
- schema.py
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- initializer.py
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- __init__.py
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- plan.py
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- chat.py
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- bg.py
- config.yaml
- prompts.py
- utils.py
- __init__.py
- bag_of_words.py
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- l1_model.py
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- __init__.py
- agent.py
- config.yaml
- __init__.py
- agent.py
- prompt.py
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- tools.py
- utils.py
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- models.py
- semantic_search.py
- utils.py
- __init__.py
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- processing.py
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- models.py
- qdrant.py
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- project.py
- settings.py
- __init__.py
- base.py
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- snowflake.py
- __init__.py
- operators.py
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- transformation.py
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- OrderedSet.py
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- models.py
- cte.py
- filter.py
- get_fields_ids_from_elt_model.py
- groupby.py
- helpers.py
- join.py
- __init__.py
- SmartQueryGenerator.py
- SmartQueryJsonGenerator.py
- __init__.py
- models.py
- predictor.py
- psql.py
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- manifest.py
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- __init__.py
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- relationship.py
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- manifest.py
- manifest.py
- table_schema.py
- config.toml
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- helper.py
- main.py
- README.md
- requirements.txt
- files.py
- type_adapters.py
- __init__.py
- cli.py
- data_product.py
- semantic_model.py
- semantic_search.py
- __init__.py
- base_adapter_tests.py
- test_bigquery_adapter.py
- test_databricks_adapter.py
- test_duckdb_adapter.py
- test_factory.py
- test_mariadb_adapter.py
- test_mysql_adapter.py
- test_oracle_adapter.py
- test_snowflake_adapter.py
- test_sql_identifier_safety.py
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- test_utils.py
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- test_dataset_analysis.py
- test_datatype_identification.py
- test_high_level.py
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- test_profile.py
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- test_adapter.py
- test_docs_search.py
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- test_manifest.py
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- test_folder_initialization.py
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# Installation Guide
1. Get the code
git clone https://github.com/Intugle/data-tools
Downloads the entire project code from GitHub to your computer.
cd data-tools
Moves into the project folder you just downloaded.
2. Official Install Script
Easy Recommendedpip install intugle[streamlit]
Installs the package published on PyPI directly β no need to clone the source.
pip install intugle
Installs the package published on PyPI directly β no need to clone the source.
brew install libomp
Installs the pre-built package via Homebrew β no source build required.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -t data-tools .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 data-tools
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
4. Node.js
EasyPrerequisites
cd docsite
This project's files live in a subfolder, so move into it first.
npm install
Downloads and installs the libraries listed in package.json.
npm start
Starts the development/run server.
After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.
5. Python
EasyPrerequisites
pip install intugle[streamlit]
Installs the package published on PyPI directly β no need to clone the source.
python -m venv .venv
Runs the Python script (or module).
pip install intugle
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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