Comparison
ThoughtSource vs Awesome-Prompt-Engineering
Verdict
Pick ThoughtSource if thoughtSource is a curated, open repository maintained by the Samwald research group for enhancing chain-of-thought reasoning in large language models through data and tools; pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Markdown twin · ThoughtSource alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ThoughtSource | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Dormant (606d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ThoughtSource
- Central resource for data and tools related to chain-of-thought reasoning in LLMs
- Awesome-Prompt-Engineering
- Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers
Stars
- ThoughtSource
- 1.0k
- Awesome-Prompt-Engineering
- 6.2k
Forks
- ThoughtSource
- 81
- Awesome-Prompt-Engineering
- 734
Open issues
- ThoughtSource
- 15
- Awesome-Prompt-Engineering
- 94
Language
- ThoughtSource
- Jupyter Notebook
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- ThoughtSource
- ThoughtSource is a curated, open repository maintained by the Samwald research group for enhancing chain-of-thought reasoning in large language models through data and tools.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- ThoughtSource
- -
- Awesome-Prompt-Engineering
- -
Runtime
- ThoughtSource
- -
- Awesome-Prompt-Engineering
- -
License
- ThoughtSource
- MIT License allows free use, modification, and distribution of the project's source code under its terms and conditions without any cost.
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- ThoughtSource
- Dec 16, 2024
- Awesome-Prompt-Engineering
- Jul 27, 2026
Categories
- ThoughtSource
- Model Training
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- ThoughtSource
- Dormant (18%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- ThoughtSource
- 606d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- ThoughtSource
- 15
- Awesome-Prompt-Engineering
- 94
Stars delta
- ThoughtSource
- 0 (30d)
- Awesome-Prompt-Engineering
- Unknown
Open issues delta
- ThoughtSource
- 0 (30d)
- Awesome-Prompt-Engineering
- Unknown
Full report
- ThoughtSource
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Shared compatibility
- Python · ThoughtSource: Python runtime · Awesome-Prompt-Engineering: Python runtime
Choose ThoughtSource if…
- ThoughtSource is primarily Jupyter Notebook; Awesome-Prompt-Engineering is TypeScript.
- License: ThoughtSource is MIT, Awesome-Prompt-Engineering is Apache-2.0.
- Tags unique to ThoughtSource: dataset, natural-language-processing, question-answering, reasoning.
- You need focused resources on chain-of-thought reasoning techniques.
When NOT to use ThoughtSource
- Looking for a comprehensive general-purpose AI development environment.
- Prefer tools with multi-language support beyond Jupyter Notebooks.
Choose Awesome-Prompt-Engineering if…
- Awesome-Prompt-Engineering is primarily TypeScript; ThoughtSource is Jupyter Notebook.
- License: Awesome-Prompt-Engineering is Apache-2.0, ThoughtSource is MIT.
- Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt.
- Also covers Developer Tools.
- You need focused materials on GPT and related models for prompt engineering
When NOT to use Awesome-Prompt-Engineering
- The project requires languages other than TypeScript
- Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (OpenBioLink/ThoughtSource) · observed Aug 15, 2026
- GitHub forks (OpenBioLink/ThoughtSource) · observed Aug 15, 2026
- Last push (OpenBioLink/ThoughtSource) · observed Dec 16, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ThoughtSource 1.0k · Awesome-Prompt-Engineering 6.2k (synced Aug 15, 2026).
Common questions
- What is the difference between ThoughtSource and Awesome-Prompt-Engineering?
- ThoughtSource: Central resource for data and tools related to chain-of-thought reasoning in LLMs. Awesome-Prompt-Engineering: Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers. See the comparison table for live GitHub stats and shared categories.
- When should I choose ThoughtSource over Awesome-Prompt-Engineering?
- Choose ThoughtSource over Awesome-Prompt-Engineering when ThoughtSource is primarily Jupyter Notebook; Awesome-Prompt-Engineering is TypeScript; License: ThoughtSource is MIT, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to ThoughtSource: dataset, natural-language-processing, question-answering, reasoning; You need focused resources on chain-of-thought reasoning techniques.
- When should I choose Awesome-Prompt-Engineering over ThoughtSource?
- Choose Awesome-Prompt-Engineering over ThoughtSource when Awesome-Prompt-Engineering is primarily TypeScript; ThoughtSource is Jupyter Notebook; License: Awesome-Prompt-Engineering is Apache-2.0, ThoughtSource is MIT; Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt; Also covers Developer Tools; You need focused materials on GPT and related models for prompt engineering.
- When should I avoid ThoughtSource?
- Looking for a comprehensive general-purpose AI development environment. Prefer tools with multi-language support beyond Jupyter Notebooks.
- When should I avoid Awesome-Prompt-Engineering?
- The project requires languages other than TypeScript Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering
- Is ThoughtSource or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 1,015). Stars measure visibility, not whether either tool fits your constraints.
- Are ThoughtSource and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub (ThoughtSource: MIT, Awesome-Prompt-Engineering: Apache-2.0).
- Where can I find alternatives to ThoughtSource or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at ThoughtSource alternatives and Awesome-Prompt-Engineering alternatives (ThoughtSource markdown twin, Awesome-Prompt-Engineering markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ThoughtSource or Awesome-Prompt-Engineering?
- ThoughtSource: Dormant. Awesome-Prompt-Engineering: 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 ThoughtSource and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ThoughtSource trust report; Awesome-Prompt-Engineering trust report.