Installation¶
Get a working tablassert install, then pick the rt / qc / agent extras that match how you will
use it (building graphs, auditing mappings, or running the autonomous agent).
Prerequisites¶
- Python 3.11 or higher: Tablassert requires Python 3.11+ for compatibility with modern tooling
- UV package manager: Recommended for fast, reliable dependency management
Installing UV¶
See the official UV installation guide for your platform:
# Linux/macOS with curl
curl -LsSf https://astral.sh/uv/install.sh | sh
# or with pip (any platform)
pip install uv
Installation Methods¶
Method 1: Development Installation with UV (Recommended for contributors)¶
Best for development, testing, and active work on Tablassert.
# Clone the repository
git clone https://github.com/SkyeAv/Tablassert.git
cd Tablassert
# Install development dependencies and optional QC runtime
uv sync --group dev --extra qc
# Build the editable Rust extension into the uv environment
uv run maturin develop --manifest-path rust/Cargo.toml
# Verify the CLI
uv run tablassert --help
This creates a virtual environment in .venv/, installs the development dependencies, and builds the local PyO3 extension. The tablassert command is available through uv run. See Development and the repository CONTRIBUTING.md for the daily edit/check loop.
Method 2: Install from PyPI¶
Recommended for most users. The base install builds knowledge graphs from CSV/TSV sources; QC and other extras are opt-in.
# Option A: Install from PyPI with UV
uv tool install tablassert
# Option B: Install from PyPI with pip
pip install tablassert
Optional Extras¶
| Extra | Description | Includes |
|---|---|---|
rt |
Runtime-compatible Polars build | polars[rtcompat] |
qc |
QC runtime (exact → fuzzy → BioBERT audit) | scikit-learn, sentence-transformers (torch + numpy arrive transitively; rapidfuzz is a core dependency) |
agent |
Autonomous PMC → KG agent (tablassert agent) |
smolagents, dspy, litellm |
# Install with runtime-compatible Polars
# (for CPUs without the required Polars instructions)
uv tool install "tablassert[rt]"
# pip equivalents
pip install "tablassert[rt]"
# Install the QC runtime
uv tool install "tablassert[qc]"
pip install "tablassert[qc]"
# Install the autonomous agent
uv tool install "tablassert[agent]"
pip install "tablassert[agent]"
Excel (.xlsx) input is read through Polars' calamine engine and additionally requires python-calamine (pip install python-calamine).
Method 3: Install from GitHub main¶
Use this when you want the latest main-branch build.
Method 4: Install from local source¶
For contributors testing local repository changes.
# Clone the repository
git clone https://github.com/SkyeAv/Tablassert.git
cd Tablassert
# Install Tablassert CLI tool from local source
uv tool install .
Verifying Installation¶
Confirm the CLI is on your path (use uv run tablassert --help for the in-repo dev environment):
You should see the Tablassert CLI help message with available commands.
Development Setup¶
For contributing to Tablassert, use the source install above, then run the local task runner:
The underlying stable gates are ruff check / ruff format --check, pyright, pytest, and cargo fmt --check / cargo test / cargo clippy --all-targets -- -D warnings (see Development).
Install pre-commit hooks to run the fast lint/format checks automatically before commits (the full gates run in CI):
Upgrading Development Installation¶
To upgrade to the latest version:
# Pull latest changes
git pull origin main
# Update dependencies and rebuild the editable extension
uv sync --group dev --extra qc
uv run maturin develop --manifest-path rust/Cargo.toml
Troubleshooting¶
Python version¶
Tablassert requires Python 3.11+. On version errors, check python --version and pin a supported
release:
QC runtime¶
If build-kg --qc reports a missing QC runtime, install the qc extra (torch / sentence-transformers
BioBERT backend for the audit stage):