Comparison
helicone vs promptfoo
Verdict
Pick helicone if helicone is an open-source platform for monitoring and evaluating language models with features specifically designed to facilitate integration and offer detailed observability; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Markdown twin · helicone alternatives · promptfoo alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | helicone | promptfoo |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- helicone
- Open source LLM observability platform
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
Stars
- helicone
- 6.1k
- promptfoo
- 24k
Forks
- helicone
- 654
- promptfoo
- 2.1k
Open issues
- helicone
- 170
- promptfoo
- 481
Language
- helicone
- TypeScript
- promptfoo
- TypeScript
Adopt for
- helicone
- Helicone is an open-source platform for monitoring and evaluating language models with features specifically designed to facilitate integration and offer detailed observability.
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Persona
- helicone
- -
- promptfoo
- -
Runtime
- helicone
- -
- promptfoo
- -
License
- helicone
- Apache-2.0
- promptfoo
- MIT
Last pushed
- helicone
- Aug 16, 2026
- promptfoo
- Aug 1, 2026
Categories
- helicone
- Evaluation & Observability
- promptfoo
- Evaluation & Observability, LLM Frameworks
Trust and health
Open issues (now)
- helicone
- 170
- promptfoo
- 481
Stars delta
- helicone
- +110 (30d)
- promptfoo
- Unknown
Open issues delta
- helicone
- +41 (30d)
- promptfoo
- Unknown
Full report
- helicone
- Trust report
- promptfoo
- Trust report
Typed relationship
Choose helicone if…
- License: helicone is Apache-2.0, promptfoo is MIT.
- Helicone and promptfoo both serve to evaluate Large Language Models (LLMs), with Helicone focusing on monitoring, experimentation, and routing across multiple models via an API, while promptfoo emphasizes CLI tools and libraries for comprehensive testing and red-teaming of LLM applications.
- Tags unique to helicone: agent-monitoring, analytics, evaluation, gpt.
- Use Helicone when you need an open-source solution that can monitor a wide range of LLMs, including more than 100 available through one API.
When NOT to use helicone
- Do not use Helicone if you have strict data privacy needs that are better served by fully localized or proprietary observability solutions.
- Avoid using this platform if your project specifically requires real-time integration with a specific model outside of Helicone's extensive but curated list.
Choose promptfoo if…
- License: promptfoo is MIT, helicone is Apache-2.0.
- Helicone and promptfoo both serve to evaluate Large Language Models (LLMs), with Helicone focusing on monitoring, experimentation, and routing across multiple models via an API, while promptfoo emphasizes CLI tools and libraries for comprehensive testing and red-teaming of LLM applications.
- Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming.
- Also covers LLM Frameworks.
- For comparing performance across GPT, Claude, Gemini, DeepSeek
When NOT to use promptfoo
- If you do not require comparative analysis among multiple LLM models
- If your project does not benefit from the specific red teaming capabilities offered by promptfoo
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Helicone/helicone) · observed Aug 17, 2026
- GitHub forks (Helicone/helicone) · observed Aug 17, 2026
- Last push (Helicone/helicone) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptfoo/promptfoo) · observed Aug 2, 2026
- GitHub forks (promptfoo/promptfoo) · observed Aug 2, 2026
- Last push (promptfoo/promptfoo) · observed Aug 1, 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 on cards: helicone 6.1k · promptfoo 24k (synced Aug 17, 2026).
Common questions
- What is the difference between helicone and promptfoo?
- helicone: Open source LLM observability platform. promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. See the comparison table for live GitHub stats and shared categories.
- When should I choose helicone over promptfoo?
- Choose helicone over promptfoo when License: helicone is Apache-2.0, promptfoo is MIT; Helicone and promptfoo both serve to evaluate Large Language Models (LLMs), with Helicone focusing on monitoring, experimentation, and routing across multiple models via an API, while promptfoo emphasizes CLI tools and libraries for comprehensive testing and red-teaming of LLM applications; Tags unique to helicone: agent-monitoring, analytics, evaluation, gpt; Use Helicone when you need an open-source solution that can monitor a wide range of LLMs, including more than 100 available through one API.
- When should I choose promptfoo over helicone?
- Choose promptfoo over helicone when License: promptfoo is MIT, helicone is Apache-2.0; Helicone and promptfoo both serve to evaluate Large Language Models (LLMs), with Helicone focusing on monitoring, experimentation, and routing across multiple models via an API, while promptfoo emphasizes CLI tools and libraries for comprehensive testing and red-teaming of LLM applications; Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming; Also covers LLM Frameworks; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I avoid helicone?
- Do not use Helicone if you have strict data privacy needs that are better served by fully localized or proprietary observability solutions. Avoid using this platform if your project specifically requires real-time integration with a specific model outside of Helicone's extensive but curated list.
- When should I avoid promptfoo?
- If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo
- Is helicone or promptfoo more popular on GitHub?
- promptfoo has more GitHub stars (23,838 vs 6,073). Stars measure visibility, not whether either tool fits your constraints.
- Are helicone and promptfoo open source?
- Yes - both are open-source projects on GitHub (helicone: Apache-2.0, promptfoo: MIT).
- Where can I find alternatives to helicone or promptfoo?
- GraphCanon lists graph-backed alternatives at helicone alternatives and promptfoo alternatives (helicone markdown twin, promptfoo 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, helicone or promptfoo?
- helicone: Very active. promptfoo: 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 helicone and promptfoo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: helicone trust report; promptfoo trust report.