Chili Sauce 🌶️

Python bindings for Chili's EngineState, powered by PyO3.

Installation

pip install chili-sauce

Requires Python ≥ 3.10.

Quick Start

from chili import ChiliEngine

engine = ChiliEngine()

# Evaluate expressions
engine.eval("1 + 2")  # => 3

# Variable management
engine.set_var("x", 42)
engine.get_var("x")  # => 42

# Work with Polars DataFrames
import polars as pl

df = pl.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
engine.set_var("df", df)
engine.get_var("df")

IPC / Remote Queries

# Open a handle to a remote Chili process
h = engine.open_handle("chili://:1800")

# Send synchronous queries
engine.sync(h, b"1+1")                # bytes  — sent as a raw string query
engine.sync(h, ["set", "a", 2])       # list   — sent as a function call (func, args…)

Features

  • Evaluate Chili or Pepper expressions from Python
  • Variable management — get, set, delete, and list variables
  • Polars integration — pass DataFrames bidirectionally between Python and Chili
  • Partitioned storage — write and load date-partitioned Parquet tables
  • IPC / TCP — start a TCP listener for remote connections
  • Tick plant — built-in pub/sub infrastructure for real-time data

Type Mapping

Python type Chili type
int Int
float Float
bool Bool
str Symbol
bytes String
None Null
list MixedList
dict Dict
datetime.date Date
datetime.time Time
datetime.datetime Datetime
polars.DataFrame DataFrame

Development

# Build and install in development mode
maturin develop --release --manifest-path crates/chili-py/Cargo.toml

# Run tests
pytest crates/chili-py/tests/

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.10.7)

1 maintainer

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

Requires

Python >=3.10

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