---
title: "griptape vs awesome"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/griptape-ai-griptape-vs-sindresorhus-awesome"
tools: ["griptape-ai-griptape", "sindresorhus-awesome"]
---

# griptape vs awesome

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick griptape when license: griptape is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, griptape is Apache-2.0.

[griptape](https://www.griptape.ai) reports 2.6k GitHub stars, 248 forks, and 78 open issues, last pushed Jul 6, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [griptape's repository](https://github.com/griptape-ai/griptape) and [awesome's repository](https://github.com/sindresorhus/awesome).

| | [griptape](/tools/griptape-ai-griptape.md) | [awesome](/tools/sindresorhus-awesome.md) |
| --- | --- | --- |
| Tagline | Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory. | 😎 Curated list of awesome topics including hardware resources |
| Stars | 2,556 | 484,026 |
| Forks | 248 | 35,799 |
| Open issues | 78 | 92 |
| Language | Python | - |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | CC0-1.0 |
| Categories | AI Agents, LLM Frameworks | LLM Frameworks |

## Trust and health

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

| | [griptape](/tools/griptape-ai-griptape.md) | [awesome](/tools/sindresorhus-awesome.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 4d | 11d |
| Open issues (now) | 78 | 92 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/griptape-ai-griptape/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) |

## Choose when

### Choose griptape if…

- License: griptape is Apache-2.0, awesome is CC0-1.0.
- Tags unique to griptape: ai, anthropic, claude, gpt.
- Also covers AI Agents.

### Choose awesome if…

- License: awesome is CC0-1.0, griptape is Apache-2.0.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 2.6k) - visibility, not fit.

## When NOT to use griptape

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use awesome

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between griptape and awesome?

griptape: Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.

### When should I choose griptape over awesome?

Choose griptape over awesome when License: griptape is Apache-2.0, awesome is CC0-1.0; Tags unique to griptape: ai, anthropic, claude, gpt; Also covers AI Agents.

### When should I choose awesome over griptape?

Choose awesome over griptape when License: awesome is CC0-1.0, griptape is Apache-2.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 2.6k) - visibility, not fit.

### When should I avoid griptape?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid awesome?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is griptape or awesome more popular on GitHub?

awesome has more GitHub stars (484,026 vs 2,556). Stars measure visibility, not whether either tool fits your constraints.

### Are griptape and awesome open source?

Yes - both are open-source projects on GitHub (griptape: Apache-2.0, awesome: CC0-1.0).

### Where can I find alternatives to griptape or awesome?

GraphCanon lists graph-backed alternatives at [griptape alternatives](/tools/griptape-ai-griptape/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([griptape markdown twin](/tools/griptape-ai-griptape/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/griptape-ai-griptape-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, griptape or awesome?

griptape: Very active. awesome: 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 griptape and awesome?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [griptape trust report](/tools/griptape-ai-griptape/trust); [awesome trust report](/tools/sindresorhus-awesome/trust).

---

**Machine-readable endpoints**

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