GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI.
Good fit when
- Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility.
- Consider it if you are interested in its specific approach to abstracting LLM microservice development, despite its deprecation.
Avoid when
- Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates.
- Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies.
- Pricing:
- freemium - The library is free to use, but as it is deprecated, there is no paid support or updates available.
- Requirements:
- Min 1 GB RAM; Lanarky requires Python and can be installed via pip.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (804d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install lanarky PyPIHow it fits your stack(3)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Lanarky is a Python library that provides an abstraction layer for developers to build LLM microservices quickly. It is built on FastAPI and is now deprecated.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
```python from lanarky import LanarkySource link
Tags
README
Installation The library is available on PyPI and can be installed via : Getting Started Lanarky provides a powerful abstraction layer to allow developers to build simple LLM microservices in just a few lines of code. Here's an example to build a simple microservice that uses Ope...
For agents
This page has a .md twin and JSON over the API.