tea-lang 
[WIP] Tea: A High-level Language and Runtime System for Automating Statistical Analyses
What is Tea?
Tea is a domain specific language for expressing the assertions and intentions/goals for statistical analyses (e.g., to compare two groups on an outcome). The user provides a dataset (currently only CSV) and a experimental design specification. The Tea runtime system then translates these high-level expressions, calculates properties about the data, and translates these properties into constarints to find a set of valid statistical tests. Tea uses Z3 as its constraint solver.
How do I use Tea?
Make sure that you have Python 3.7, pip (for Python 3.7), and pipenv (for Python 3.7) installed.
Start a pipenv: pipenv shell
From inside your environment, download all dependencies from Pipfile (pipenv update). This will take awhile because it builds Z3.
Add Tea to your Python path by creating .env file that has the following one-liner in it: PYTHONPATH=${PYTHONPATH}:${PWD}
To run tests and see output, run: pytest tests/integration_tests/test_integration.py -s
The main code base is written in Python and lives in the tea directory. The tests directory is used for developing and debugging and uses datasets in the datasets directory. Not all the datasets used in tests/test_tea.py are included in the datasets repository.
tea/solver.py contains the constraint solving module for both tests -> properties and properties -> tests.
tea/ast.py implements Tea's Abstract Syntax Tree (AST).
tea/build.py builds up Tea's AST for programs.
tea/dataset.py contains a runtime data structure that represents and contains the data the user provides.
tea/evaluate.py is the main interpreter file.
tea/evaluate_helper_methods.py contains the helper methods for evaluate.py.
tea/evaluate_data_structures.py contains the data structuers used in evaluate.py and evaluate_helper_methods.py.
tea/errors.py is empty. It will contain some code for providing helpful error messages.
All of the above are still changing!
Why Python?
Many comparable data science tools are implemented as Python. People seem to like and use Python a lot for data stuff!
How can I contribute?
You want to contribute? That's so great! Thank you so much!
It would be best to create a separate branch that we can merge when Tea is slightly more stable. :)