--- title: "promptsource vs short-video-factory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-yils-lin-short-video-factory" tools: ["bigscience-workshop-promptsource", "yils-lin-short-video-factory"] --- # promptsource vs short-video-factory *GraphCanon updated Sep 20, 2026* ## Verdict Pick promptsource if promptSource aids in creating, sharing, and using natural language prompts for large language models; pick short-video-factory if short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 375 forks, and 43 open issues, last pushed Oct 23, 2023. [short-video-factory](https://short-video-factory.yils.blog) has 5.5k stars, 769 forks, and 29 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [short-video-factory's repository](https://github.com/YILS-LIN/short-video-factory). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [short-video-factory](/tools/yils-lin-short-video-factory.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts | One click generation of product marketing and general content short videos | | Stars | 3,034 | 5,457 | | Forks | 375 | 769 | | Open issues | 43 | 29 | | Language | Python | TypeScript | | Adopt for | PromptSource aids in creating, sharing, and using natural language prompts for large language models. | Short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [short-video-factory](/tools/yils-lin-short-video-factory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1062d | 3d | | Open issues (now) | 43 | 29 | | Stars delta | +5 (30d) | +353 (30d) | | Open issues delta | 0 (30d) | -2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bigscience-workshop-promptsource/trust.md) | [trust report](/tools/yils-lin-short-video-factory/trust.md) | ## Decision facts: promptsource - **Adopt for:** PromptSource aids in creating, sharing, and using natural language prompts for large language models. ## Decision facts: short-video-factory - **Adopt for:** Short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. ## Choose when ### Choose promptsource if… - promptsource is primarily Python; short-video-factory is TypeScript. - License: promptsource is Apache-2.0, short-video-factory is AGPL-3.0. - Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning. - When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### Choose short-video-factory if… - short-video-factory is primarily TypeScript; promptsource is Python. - License: short-video-factory is AGPL-3.0, promptsource is Apache-2.0. - Tags unique to short-video-factory: ai, automatic, automation, clipping. - When needing rapid creation of marketing short videos across multiple platforms without complex setup ## When NOT to use promptsource - 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. ## When NOT to use short-video-factory - If flexibility in customizing AI-generated video styles is critical, as the tool may have limited style options - When requiring a web-based interface for mobile or cloud operations instead of desktop use ## Common questions ### What is the difference between promptsource and short-video-factory? promptsource: Toolkit for creating, sharing and using natural language prompts. short-video-factory: One click generation of product marketing and general content short videos. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsource over short-video-factory? Choose promptsource over short-video-factory when promptsource is primarily Python; short-video-factory is TypeScript; License: promptsource is Apache-2.0, short-video-factory is AGPL-3.0; Tags unique to promptsource: few-shot, fine-tuning, language models, machine-learning; When you need to create reusable prompts for multiple datasets with a focus on simplicity through a templating language called Jinja. ### When should I choose short-video-factory over promptsource? Choose short-video-factory over promptsource when short-video-factory is primarily TypeScript; promptsource is Python; License: short-video-factory is AGPL-3.0, promptsource is Apache-2.0; Tags unique to short-video-factory: ai, automatic, automation, clipping; When needing rapid creation of marketing short videos across multiple platforms without complex setup. ### When should I avoid promptsource? 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. ### When should I avoid short-video-factory? If flexibility in customizing AI-generated video styles is critical, as the tool may have limited style options When requiring a web-based interface for mobile or cloud operations instead of desktop use ### Is promptsource or short-video-factory more popular on GitHub? short-video-factory has more GitHub stars (5,457 vs 3,034). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsource and short-video-factory open source? Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, short-video-factory: AGPL-3.0). ### Where can I find alternatives to promptsource or short-video-factory? GraphCanon lists graph-backed alternatives at [promptsource alternatives](/tools/bigscience-workshop-promptsource/alternatives) and [short-video-factory alternatives](/tools/yils-lin-short-video-factory/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/alternatives.md), [short-video-factory markdown twin](/tools/yils-lin-short-video-factory/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/bigscience-workshop-promptsource-vs-yils-lin-short-video-factory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsource or short-video-factory? promptsource: Dormant. short-video-factory: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for promptsource and short-video-factory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsource trust report](/tools/bigscience-workshop-promptsource/trust); [short-video-factory trust report](/tools/yils-lin-short-video-factory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_