promptsource
Toolkit for creating, sharing and using natural language prompts
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
PromptSource aids in creating, sharing, and using natural language prompts for large language models.
Good fit when
- When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja.
- If your workflow involves fine-tuning pre-existing prompts or leveraging an existing pool of over two thousand English prompts from the Public Pool of Prompts (P3).
Avoid when
- Avoid if you require complex prompt customization beyond what simple templating can offer, as PromptSource is not designed for intricate configurations.
- Not suitable for users focused on real-time interaction with prompts, since it lacks dynamic features for immediate adjustments.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1062d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install promptsourceSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PromptSource is a toolkit designed to facilitate the creation, sharing, and usage of natural language prompts intended for large language models.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
*Note: for stability reasons, you will currently need a Python 3.7 environment to run the last step. However, if you only intend to use the promptSource link
Tags
README
PromptSource PromptSource is a toolkit for creating, sharing and using natural language prompts. Recent work has shown that large language models exhibit the ability to perform reasonable zero shot generalization to new tasks. For instance, GPT 3 demonstrated that large language...
For agents
This page has a .md twin and JSON over the API.