Comparison
opik vs promptfoo
Verdict
Pick opik if opik is designed for evaluating and monitoring LLM applications, offering comprehensive tracing and dashboards; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Markdown twin · opik alternatives · promptfoo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | opik | promptfoo |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- opik
- Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards
- promptfoo
- Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.
Stars
- opik
- 21k
- promptfoo
- 24k
Forks
- opik
- 1.7k
- promptfoo
- 2.1k
Open issues
- opik
- 172
- promptfoo
- 481
Language
- opik
- Python
- promptfoo
- TypeScript
Adopt for
- opik
- Opik is designed for evaluating and monitoring LLM applications, offering comprehensive tracing and dashboards.
- promptfoo
- promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support.
Persona
- opik
- -
- promptfoo
- -
Runtime
- opik
- -
- promptfoo
- -
License
- opik
- Apache-2.0
- promptfoo
- MIT
Last pushed
- opik
- Aug 7, 2026
- promptfoo
- Aug 1, 2026
Categories
- opik
- Evaluation & Observability
- promptfoo
- Evaluation & Observability, LLM Frameworks
Trust and health
Open issues (now)
- opik
- 172
- promptfoo
- 481
Stars delta
- opik
- +767 (30d)
- promptfoo
- Unknown
Open issues delta
- opik
- +23 (30d)
- promptfoo
- Unknown
Full report
- opik
- Trust report
- promptfoo
- Trust report
Typed relationship
Shared compatibility
- Python · opik: Python runtime · promptfoo: Python runtime
Choose opik if…
- opik is primarily Python; promptfoo is TypeScript.
- License: opik is Apache-2.0, promptfoo is MIT.
- Pricing: Opik is available under the Apache-2.0 license and can be deployed freely using Docker or Kubernetes, with no explicit mention of premium cloud-based services..
- Requirements: Compatible with Python environments.; Can be deployed via Docker for local use or Kubernetes for scalable installations..
- Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems.
- Tags unique to opik: evaluation, llm-observability.
- - Use Opik when you need to deploy a self-hosted solution that offers granular control over your LLM monitoring setup.
When NOT to use opik
- - Avoid using Opik if you prefer cloud-based deployment options where extensive self-hosting management may be less preferable or feasible.
- - Do not use Opik if your project does not involve LLM applications or RAG systems, as its specific features will offer little benefit in a narrower context.
Choose promptfoo if…
- promptfoo is primarily TypeScript; opik is Python.
- License: promptfoo is MIT, opik is Apache-2.0.
- Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems.
- Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming.
- Also covers LLM Frameworks.
- promptfoo ships Docker support for self-hosted deployment.
- 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 (comet-ml/opik) · observed Aug 7, 2026
- GitHub forks (comet-ml/opik) · observed Aug 7, 2026
- Last push (comet-ml/opik) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 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: opik 21k · promptfoo 24k (synced Aug 7, 2026).
Common questions
- What is the difference between opik and promptfoo?
- opik: Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards. 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 opik over promptfoo?
- Choose opik over promptfoo when opik is primarily Python; promptfoo is TypeScript; License: opik is Apache-2.0, promptfoo is MIT; Pricing: Opik is available under the Apache-2.0 license and can be deployed freely using Docker or Kubernetes, with no explicit mention of premium cloud-based services.; Requirements: Compatible with Python environments.; Can be deployed via Docker for local use or Kubernetes for scalable installations.; Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems; Tags unique to opik: evaluation, llm-observability; - Use Opik when you need to deploy a self-hosted solution that offers granular control over your LLM monitoring setup.
- When should I choose promptfoo over opik?
- Choose promptfoo over opik when promptfoo is primarily TypeScript; opik is Python; License: promptfoo is MIT, opik is Apache-2.0; Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems; Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, red-teaming; Also covers LLM Frameworks; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek.
- When should I avoid opik?
- - Avoid using Opik if you prefer cloud-based deployment options where extensive self-hosting management may be less preferable or feasible. - Do not use Opik if your project does not involve LLM applications or RAG systems, as its specific features will offer little benefit in a narrower context.
- 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 opik or promptfoo more popular on GitHub?
- promptfoo has more GitHub stars (23,838 vs 21,177). Stars measure visibility, not whether either tool fits your constraints.
- Are opik and promptfoo open source?
- Yes - both are open-source projects on GitHub (opik: Apache-2.0, promptfoo: MIT).
- Where can I find alternatives to opik or promptfoo?
- GraphCanon lists graph-backed alternatives at opik alternatives and promptfoo alternatives (opik 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, opik or promptfoo?
- opik: 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 opik and promptfoo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: opik trust report; promptfoo trust report.