Comparison
awesome-gpt vs prompttools
Verdict
Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; pick prompttools if prompttools is an open-source suite for prompt testing and experimentation, supporting both LLMs and vector databases, making it a versatile choice for developers and researchers working with AI.
Markdown twin · awesome-gpt alternatives · prompttools alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | awesome-gpt | prompttools |
|---|---|---|
| Maintenance | Dormant (830d since push) As of Sep 6, 2026 · github_public_v1 | Slowing (219d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · 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
- awesome-gpt
- Curated list of GPT and related resources
- prompttools
- Open-source tools for prompt testing and experimentation
Stars
- awesome-gpt
- 1.0k
- prompttools
- 3.1k
Forks
- awesome-gpt
- 77
- prompttools
- 256
Open issues
- awesome-gpt
- 29
- prompttools
- 43
Language
- awesome-gpt
- -
- prompttools
- Python
Adopt for
- awesome-gpt
- awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
- prompttools
- Prompttools is an open-source suite for prompt testing and experimentation, supporting both LLMs and vector databases, making it a versatile choice for developers and researchers working with AI models and data retrieval
Persona
- awesome-gpt
- -
- prompttools
- -
Runtime
- awesome-gpt
- -
- prompttools
- -
License
- awesome-gpt
- -
- prompttools
- Prompttools is distributed under the Apache-2.0 license, allowing for broad use in both commercial and open-source projects
Last pushed
- awesome-gpt
- May 29, 2024
- prompttools
- Feb 11, 2026
Categories
- awesome-gpt
- Developer Tools, LLM Frameworks
- prompttools
- Developer Tools, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- awesome-gpt
- Dormant (18%)
- prompttools
- Slowing (36%)
Days since push
- awesome-gpt
- 830d
- prompttools
- 219d
Open issues (now)
- awesome-gpt
- 29
- prompttools
- 43
Stars delta
- awesome-gpt
- +1 (30d)
- prompttools
- +9 (30d)
Owner type
- awesome-gpt
- User
- prompttools
- Organization
OSV dependency advisories
- awesome-gpt
- No lockfile (source not queried)
- prompttools
- Published findings
Full report
- awesome-gpt
- Trust report
- prompttools
- Trust report
Choose awesome-gpt if…
- Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
- Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
- Tags unique to awesome-gpt: chatgpt, gpt, llm, openai.
- Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
When NOT to use awesome-gpt
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
- Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
Choose prompttools if…
- Requirements: Min 4 GB RAM; Python environment is required for using Prompttools.
- Tags unique to prompttools: deep-learning, embeddings, large-language-models, llms.
- Also covers Vector Databases.
- When you need to test and experiment with prompts for LLMs such as OpenAI and LLaMA, and vector databases like Chroma, Weaviate, and LanceDB
When NOT to use prompttools
- If your project is strictly focused on a single AI framework that does not require prompt testing or experimentation with vector databases
- When you are working in an environment where the Apache-2.0 license is not compatible with your project's licensing requirements
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (formulahendry/awesome-gpt) · observed Sep 20, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Sep 20, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hegelai/prompttools) · observed Sep 20, 2026
- GitHub forks (hegelai/prompttools) · observed Sep 20, 2026
- Last push (hegelai/prompttools) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: awesome-gpt 1.0k · prompttools 3.1k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-gpt and prompttools?
- awesome-gpt: Curated list of GPT and related resources. prompttools: Open-source tools for prompt testing and experimentation. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-gpt over prompttools?
- Choose awesome-gpt over prompttools when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
- When should I choose prompttools over awesome-gpt?
- Choose prompttools over awesome-gpt when Requirements: Min 4 GB RAM; Python environment is required for using Prompttools; Tags unique to prompttools: deep-learning, embeddings, large-language-models, llms; Also covers Vector Databases; When you need to test and experiment with prompts for LLMs such as OpenAI and LLaMA, and vector databases like Chroma, Weaviate, and LanceDB.
- When should I avoid awesome-gpt?
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
- When should I avoid prompttools?
- If your project is strictly focused on a single AI framework that does not require prompt testing or experimentation with vector databases When you are working in an environment where the Apache-2.0 license is not compatible with your project's licensing requirements
- Is awesome-gpt or prompttools more popular on GitHub?
- prompttools has more GitHub stars (3,055 vs 1,044). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and prompttools open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or prompttools?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and prompttools alternatives (awesome-gpt markdown twin, prompttools 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, awesome-gpt or prompttools?
- awesome-gpt: Dormant. prompttools: Slowing. 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 awesome-gpt and prompttools?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; prompttools trust report.