hassil
The Home Assistant Intent Language parser
Decision gist · record as of 2026-08-14
Yes, if you need template-based intent recognition for Home Assistant or similar voice automation systems. The low install friction, permissive license, active maintenance, and zero known vulnerabilities make it a safe choice. Not suitable if you need statistical NLU with out-of-the-box support for typos, synonyms, or paraphrasing—this is a rule-based parser that requires explicit template definitions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; YAML intent definition files must be provided to the CLI or loaded programmatically.
- Low install friction with a pure Python wheel and only two runtime dependencies (PyYAML and unicode-rbnf).
- Active maintenance with a recent release (14 days old) and steady repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects including proprietary integrations.
last release 2026-07-31 (14 days) · last repo commit 2026-07-31 · 111 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 190,791 downloads/mo, #9,899 on PyPI
Alternatives
Verify before relying
pip install hassil
python3 -m hassil examples/en.yaml --areas 'living room'
# Type: what is the temperature in the living room
# Output: {'intent': 'HassClimateGetTemperature', 'area': 'living room', 'domain': 'climate'}- Whether the package provides a stable public API for programmatic use beyond the CLI interface shown in examples.
- Performance characteristics when matching against large numbers of intents or with complex template rules.
- Whether unicode-rbnf dependency is required for all use cases or only for certain language/locale scenarios.
What it is and what it does
HassIL is a sentence template parser that converts natural language input into structured intent objects with extracted slots and metadata. It uses YAML files to define intents, sentence templates with alternatives, optional phrases, permutations, slot lists, and expansion rules—allowing developers to specify how voice commands should be recognized and parsed without writing custom NLU logic.
The package is designed for Home Assistant's voice command system but can be used standalone for any application needing template-based intent recognition. It provides both a command-line interface for testing and sampling sentences, and a Python API for integration. The parser handles linguistic variations through template syntax (alternatives with pipes, optional bracketed phrases, permutations with semicolons) and supports inline range lists for numeric values.
Use it for
- Build voice command handlers for Home Assistant by defining intents and sentence templates in YAML without training a machine learning model.
- Generate test datasets of valid sentences for each intent using the sampling feature to validate coverage before deployment.
- Extract structured parameters (area names, device names, numeric values) from user utterances for automation rule matching.
- Implement multi-language voice control by switching between different YAML intent definition files per language.
- Create a lightweight intent recognizer for IoT or embedded systems where ML-based NLU is too resource-intensive.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need template-based intent recognition for Home Assistant or similar voice automation systems.
The low install friction, permissive license, active maintenance, and zero known vulnerabilities make it a safe choice. Not suitable if you need statistical NLU with out-of-the-box support for typos, synonyms, or paraphrasing—this is a rule-based parser that requires explicit template definitions.
Install
hassil on PyPI
Before you install
Low install friction with a pure Python wheel and only two runtime dependencies (PyYAML and unicode-rbnf). Active maintenance with a recent release (14 days old) and steady repository activity.
Requires Python 3.9 or later; YAML intent definition files must be provided to the CLI or loaded programmatically.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects including proprietary integrations.
Quickstart
pip install hassil
python3 -m hassil examples/en.yaml --areas 'living room'
# Type: what is the temperature in the living room
# Output: {'intent': 'HassClimateGetTemperature', 'area': 'living room', 'domain': 'climate'}Verify before relying
- Whether the package provides a stable public API for programmatic use beyond the CLI interface shown in examples.
- Performance characteristics when matching against large numbers of intents or with complex template rules.
- Whether unicode-rbnf dependency is required for all use cases or only for certain language/locale scenarios.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesPyYAMLunicode-rbnf |
| Maintenance | Actively maintained 14 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 190,791 / month, #9,899 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Text Processing :: Linguistic |
Evidence: hassil-3.11.0-py3-none-any.whl
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