Comparison
AutoPrompt vs Curator
Verdict
Pick AutoPrompt if autoPrompt provides a Python-based framework for refining prompts using Intent-based Prompt Calibration; pick Curator if scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks.
Markdown twin · AutoPrompt alternatives · Curator alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | AutoPrompt | Curator |
|---|---|---|
| Maintenance | Slowing (237d 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 | 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
- AutoPrompt
- Framework for prompt tuning using Intent-based Prompt Calibration
- Curator
- Scalable data pre-processing and curation toolkit for LLMs
Stars
- AutoPrompt
- 3.0k
- Curator
- 1.7k
Forks
- AutoPrompt
- 264
- Curator
- 306
Open issues
- AutoPrompt
- 23
- Curator
- 272
Language
- AutoPrompt
- Python
- Curator
- Python
Adopt for
- AutoPrompt
- AutoPrompt provides a Python-based framework for refining prompts using Intent-based Prompt Calibration.
- Curator
- Scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks.
Persona
- AutoPrompt
- -
- Curator
- -
Runtime
- AutoPrompt
- -
- Curator
- -
License
- AutoPrompt
- Apache-2.0
- Curator
- Apache-2.0
Last pushed
- AutoPrompt
- Dec 2, 2025
- Curator
- Jul 23, 2026
Categories
- AutoPrompt
- Data & Retrieval, LLM Frameworks
- Curator
- Data & Retrieval, Model Training
Trust and health
Maintenance
- AutoPrompt
- Slowing (36%)
- Curator
- Very active (96%)
Days since push
- AutoPrompt
- 237d
- Curator
- 0d
Open issues (now)
- AutoPrompt
- 23
- Curator
- 272
Owner type
- AutoPrompt
- User
- Curator
- Organization
Full report
- AutoPrompt
- Trust report
- Curator
- Trust report
Choose AutoPrompt if…
- Tags unique to AutoPrompt: prompt-engineering, prompt-tuning, synthetic-dataset-generation.
- Also covers LLM Frameworks.
- When you need to calibrate prompts specifically for enhancing intent clarity within the target language model.
When NOT to use AutoPrompt
- Avoid using AutoPrompt if your project requires a framework that supports multiple programming languages beyond Python.
- If you do not require or prefer Intent-based Prompt Calibration for tuning, look elsewhere as this feature could be less appealing and flexible compared to alternative methods in competing tools.
Choose Curator if…
- Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms.
- Also covers Model Training.
- You're working with NVIDIA NeMo models and require seamless integration.
When NOT to use Curator
- Your dataset doesn't align with NVIDIA hardware specifications.
- You prefer data curation tools that do not emphasize semantic processing.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Eladlev/AutoPrompt) · observed Jul 28, 2026
- GitHub forks (Eladlev/AutoPrompt) · observed Jul 28, 2026
- Last push (Eladlev/AutoPrompt) · observed Dec 2, 2025
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA-NeMo/Curator) · observed Jul 24, 2026
- GitHub forks (NVIDIA-NeMo/Curator) · observed Jul 24, 2026
- Last push (NVIDIA-NeMo/Curator) · observed Jul 23, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoPrompt 3.0k · Curator 1.7k (synced Jul 28, 2026).
Common questions
- What is the difference between AutoPrompt and Curator?
- AutoPrompt: Framework for prompt tuning using Intent-based Prompt Calibration. Curator: Scalable data pre-processing and curation toolkit for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoPrompt over Curator?
- Choose AutoPrompt over Curator when Tags unique to AutoPrompt: prompt-engineering, prompt-tuning, synthetic-dataset-generation; Also covers LLM Frameworks; When you need to calibrate prompts specifically for enhancing intent clarity within the target language model.
- When should I choose Curator over AutoPrompt?
- Choose Curator over AutoPrompt when Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms; Also covers Model Training; You're working with NVIDIA NeMo models and require seamless integration.
- When should I avoid AutoPrompt?
- Avoid using AutoPrompt if your project requires a framework that supports multiple programming languages beyond Python. If you do not require or prefer Intent-based Prompt Calibration for tuning, look elsewhere as this feature could be less appealing and flexible compared to alternative methods in competing tools.
- When should I avoid Curator?
- Your dataset doesn't align with NVIDIA hardware specifications. You prefer data curation tools that do not emphasize semantic processing.
- Is AutoPrompt or Curator more popular on GitHub?
- AutoPrompt has more GitHub stars (2,993 vs 1,681). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoPrompt and Curator open source?
- Yes - both are open-source projects on GitHub (AutoPrompt: Apache-2.0, Curator: Apache-2.0).
- Where can I find alternatives to AutoPrompt or Curator?
- GraphCanon lists graph-backed alternatives at AutoPrompt alternatives and Curator alternatives (AutoPrompt markdown twin, Curator 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, AutoPrompt or Curator?
- AutoPrompt: Slowing. Curator: 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 AutoPrompt and Curator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoPrompt trust report; Curator trust report.