Comparison
promptext vs Awesome-Prompt-Engineering
Verdict
Pick promptext if for developers seeking a tool to streamline AI interaction with codebases via context extraction, promptext stands out for its Go-centric design and CLI focus; 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 · promptext alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | promptext | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Slowing (111d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- promptext
- Smart code context extractor for AI assistants
- Awesome-Prompt-Engineering
- Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers
Stars
- promptext
- 22
- Awesome-Prompt-Engineering
- 6.2k
Forks
- promptext
- 1
- Awesome-Prompt-Engineering
- 734
Open issues
- promptext
- 0
- Awesome-Prompt-Engineering
- 94
Language
- promptext
- Go
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- promptext
- For developers seeking a tool to streamline AI interaction with codebases via context extraction, promptext stands out for its Go-centric design and CLI focus.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- promptext
- -
- Awesome-Prompt-Engineering
- -
Runtime
- promptext
- -
- Awesome-Prompt-Engineering
- -
License
- promptext
- The MIT License entails permissive terms under which developers can use, modify, and distribute the software.
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- promptext
- Apr 12, 2026
- Awesome-Prompt-Engineering
- Jul 27, 2026
Categories
- promptext
- Developer Tools
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- promptext
- Slowing (36%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- promptext
- 111d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- promptext
- 0
- Awesome-Prompt-Engineering
- 94
Owner type
- promptext
- User
- Awesome-Prompt-Engineering
- Organization
OSV dependency advisories
- promptext
- Published findings
- Awesome-Prompt-Engineering
- No lockfile (source not queried)
Full report
- promptext
- Trust report
- Awesome-Prompt-Engineering
- Trust report
Choose promptext if…
- promptext is primarily Go; Awesome-Prompt-Engineering is TypeScript.
- License: promptext is MIT, Awesome-Prompt-Engineering is Apache-2.0.
- Pricing: promptext is freely available under the MIT license. It does not directly charge for usage but potential costs might arise from integrating it into larger commercial products..
- Requirements: promptext requires either an existing Go installation (version 1.19+) or uses one-off scripts for installation on macOS/Linux and Windows.; A compatible command-line environment is a must since promptext operates primarily through the command line..
- Tags unique to promptext: ai-tools, code-analysis, go.
- When you work in a Go (golang) project environment where quick, efficient code context extraction is required.
When NOT to use promptext
- In projects heavily reliant on languages other than Go, as the support for extracting contexts from non-Go files is limited.
- If your development setup does not allow for CLI operations. promptext's primary mode of operation is through its command-line interface.
Choose Awesome-Prompt-Engineering if…
- Awesome-Prompt-Engineering is primarily TypeScript; promptext is Go.
- License: Awesome-Prompt-Engineering is Apache-2.0, promptext is MIT.
- Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt.
- Also covers Model Training.
- 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 (1broseidon/promptext) · observed Aug 2, 2026
- GitHub forks (1broseidon/promptext) · observed Aug 2, 2026
- Last push (1broseidon/promptext) · observed Apr 12, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 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: promptext 22 · Awesome-Prompt-Engineering 6.2k (synced Aug 2, 2026).
Common questions
- What is the difference between promptext and Awesome-Prompt-Engineering?
- promptext: Smart code context extractor for AI assistants. 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 promptext over Awesome-Prompt-Engineering?
- Choose promptext over Awesome-Prompt-Engineering when promptext is primarily Go; Awesome-Prompt-Engineering is TypeScript; License: promptext is MIT, Awesome-Prompt-Engineering is Apache-2.0; Pricing: promptext is freely available under the MIT license. It does not directly charge for usage but potential costs might arise from integrating it into larger commercial products.; Requirements: promptext requires either an existing Go installation (version 1.19+) or uses one-off scripts for installation on macOS/Linux and Windows.; A compatible command-line environment is a must since promptext operates primarily through the command line.; Tags unique to promptext: ai-tools, code-analysis, go; When you work in a Go (golang) project environment where quick, efficient code context extraction is required.
- When should I choose Awesome-Prompt-Engineering over promptext?
- Choose Awesome-Prompt-Engineering over promptext when Awesome-Prompt-Engineering is primarily TypeScript; promptext is Go; License: Awesome-Prompt-Engineering is Apache-2.0, promptext is MIT; Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt; Also covers Model Training; You need focused materials on GPT and related models for prompt engineering.
- When should I avoid promptext?
- In projects heavily reliant on languages other than Go, as the support for extracting contexts from non-Go files is limited. If your development setup does not allow for CLI operations. promptext's primary mode of operation is through its command-line interface.
- 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 promptext or Awesome-Prompt-Engineering more popular on GitHub?
- Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 22). Stars measure visibility, not whether either tool fits your constraints.
- Are promptext and Awesome-Prompt-Engineering open source?
- Yes - both are open-source projects on GitHub (promptext: MIT, Awesome-Prompt-Engineering: Apache-2.0).
- Where can I find alternatives to promptext or Awesome-Prompt-Engineering?
- GraphCanon lists graph-backed alternatives at promptext alternatives and Awesome-Prompt-Engineering alternatives (promptext 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, promptext or Awesome-Prompt-Engineering?
- promptext: Slowing. 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 promptext and Awesome-Prompt-Engineering?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptext trust report; Awesome-Prompt-Engineering trust report.