masci/banks

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with their metadata.

65
/ 100
Established

This tool helps developers who are building applications powered by large language models (LLMs) to create and manage their prompts effectively. It takes generic blueprints as input and produces well-structured text or chat messages ready for an LLM. Developers can also attach metadata to prompts, enabling better organization and version control.

123 stars. Used by 2 other packages. Available on PyPI.

Use this if you are a developer building LLM applications and need a systematic way to template, version, and manage your prompts beyond basic string formatting.

Not ideal if you are an end-user without programming knowledge, or if you only need to create simple, static prompts for occasional LLM interaction.

LLM-application-development prompt-engineering AI-tools workflow-automation
Maintenance 10 / 25
Adoption 12 / 25
Maturity 25 / 25
Community 18 / 25

How are scores calculated?

Stars

123

Forks

22

Language

Python

License

MIT

Last pushed

Mar 09, 2026

Commits (30d)

0

Dependencies

7

Reverse dependents

2

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