---
title: "prompttools vs prompt-master"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/hegelai-prompttools-vs-nidhinjs-prompt-master"
tools: ["hegelai-prompttools", "nidhinjs-prompt-master"]
---

# prompttools vs prompt-master

*GraphCanon updated Aug 7, 2026*

## Verdict

Pick prompttools if prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities; pick prompt-master if prompt-master is designed to generate precise AI tool prompts using Claude technology, emphasizing full context and memory retention with no wasted tokens.

[prompttools](http://prompttools.readthedocs.io) reports 3.0k GitHub stars, 255 forks, and 41 open issues, last pushed Feb 11, 2026. [prompt-master](https://github.com/nidhinjs/prompt-master) has 11k stars, 1.3k forks, and 22 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [prompttools's repository](https://github.com/hegelai/prompttools) and [prompt-master's repository](https://github.com/nidhinjs/prompt-master).

| | [prompttools](/tools/hegelai-prompttools.md) | [prompt-master](/tools/nidhinjs-prompt-master.md) |
| --- | --- | --- |
| Tagline | Open-source tools for prompt testing and experimentation | A Claude skill for generating precise AI tool prompts |
| Stars | 3,046 | 10,757 |
| Forks | 255 | 1,278 |
| Open issues | 41 | 22 |
| Language | Python | - |
| Adopt for | Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities. | Prompt-master is designed to generate precise AI tool prompts using Claude technology, emphasizing full context and memory retention with no wasted tokens. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Developer Tools, LLM Frameworks, Vector Databases | Developer Tools, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [prompttools](/tools/hegelai-prompttools.md) | [prompt-master](/tools/nidhinjs-prompt-master.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Steady (60%) |
| Days since push | 177d | 30d |
| Open issues (now) | 41 | 22 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/hegelai-prompttools/trust.md) | [trust report](/tools/nidhinjs-prompt-master/trust.md) |

## Decision facts: prompttools

- **Hosting:** self hosted
- **Pricing:** freemium - PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available.
- **Adopt for:** Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.

## Decision facts: prompt-master

- **Adopt for:** Prompt-master is designed to generate precise AI tool prompts using Claude technology, emphasizing full context and memory retention with no wasted tokens.

## Choose when

### Choose prompttools if…

- License: prompttools is Apache-2.0, prompt-master is MIT.
- Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available..
- Tags unique to prompttools: deep-learning, embeddings, large language models, llms.
- Also covers Vector Databases.
- Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.

### Choose prompt-master if…

- License: prompt-master is MIT, prompttools is Apache-2.0.
- Tags unique to prompt-master: claude-ai, claude-skills, llm.
- When needing highly accurate AI prompts specifically tailored for Claude-powered applications that ensure all past contexts are retained without the risk of token wastage.

## When NOT to use prompttools

- Last GitHub push was 196 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use prompt-master

- If working within an ecosystem or on projects not aligned with Claude technology, as prompt-master's full capabilities may be limited outside its designed framework.

## Common questions

### What is the difference between prompttools and prompt-master?

prompttools: Open-source tools for prompt testing and experimentation. prompt-master: A Claude skill for generating precise AI tool prompts. See the comparison table for live GitHub stats and shared categories.

### When should I choose prompttools over prompt-master?

Choose prompttools over prompt-master when License: prompttools is Apache-2.0, prompt-master is MIT; Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available.; Tags unique to prompttools: deep-learning, embeddings, large language models, llms; Also covers Vector Databases; Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities.

### When should I choose prompt-master over prompttools?

Choose prompt-master over prompttools when License: prompt-master is MIT, prompttools is Apache-2.0; Tags unique to prompt-master: claude-ai, claude-skills, llm; When needing highly accurate AI prompts specifically tailored for Claude-powered applications that ensure all past contexts are retained without the risk of token wastage.

### When should I avoid prompttools?

Last GitHub push was 196 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### When should I avoid prompt-master?

If working within an ecosystem or on projects not aligned with Claude technology, as prompt-master's full capabilities may be limited outside its designed framework.

### Is prompttools or prompt-master more popular on GitHub?

prompt-master has more GitHub stars (10,757 vs 3,046). Stars measure visibility, not whether either tool fits your constraints.

### Are prompttools and prompt-master open source?

Yes - both are open-source projects on GitHub (prompttools: Apache-2.0, prompt-master: MIT).

### Where can I find alternatives to prompttools or prompt-master?

GraphCanon lists graph-backed alternatives at [prompttools alternatives](/tools/hegelai-prompttools/alternatives) and [prompt-master alternatives](/tools/nidhinjs-prompt-master/alternatives) ([prompttools markdown twin](/tools/hegelai-prompttools/alternatives.md), [prompt-master markdown twin](/tools/nidhinjs-prompt-master/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/hegelai-prompttools-vs-nidhinjs-prompt-master.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, prompttools or prompt-master?

prompttools: Slowing. prompt-master: Steady. 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 prompttools and prompt-master?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompttools trust report](/tools/hegelai-prompttools/trust); [prompt-master trust report](/tools/nidhinjs-prompt-master/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=hegelai-prompttools`](/api/graphcanon/graph?tool=hegelai-prompttools)
- 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/_
