Comparison
agenta vs VLMEvalKit
Verdict
Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; pick VLMEvalKit if vLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models.
Markdown twin · agenta alternatives · VLMEvalKit alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | agenta | VLMEvalKit |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- agenta
- The open-source LLMOps platform for prompt management, evaluation, and observability.
- VLMEvalKit
- An open-source evaluation toolkit for large vision-language models
Stars
- agenta
- 4.4k
- VLMEvalKit
- 4.3k
Forks
- agenta
- 609
- VLMEvalKit
- 745
Open issues
- agenta
- 270
- VLMEvalKit
- 285
Language
- agenta
- TypeScript
- VLMEvalKit
- Python
Adopt for
- agenta
- Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability.
- VLMEvalKit
- VLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models.
Persona
- agenta
- -
- VLMEvalKit
- -
Runtime
- agenta
- -
- VLMEvalKit
- -
License
- agenta
- Other
- VLMEvalKit
- Apache-2.0
Last pushed
- agenta
- Aug 7, 2026
- VLMEvalKit
- Aug 17, 2026
Categories
- agenta
- Evaluation & Observability, LLM Frameworks
- VLMEvalKit
- Evaluation & Observability
Trust and health
Open issues (now)
- agenta
- 270
- VLMEvalKit
- 285
Stars delta
- agenta
- +170 (30d)
- VLMEvalKit
- +60 (30d)
Open issues delta
- agenta
- +109 (30d)
- VLMEvalKit
- +21 (30d)
OSV dependency advisories
- agenta
- No lockfile (source not queried)
- VLMEvalKit
- Published findings
Full report
- agenta
- Trust report
- VLMEvalKit
- Trust report
Typed relationship
agenta VLMEvalKit
Choose agenta if…
- agenta is primarily TypeScript; VLMEvalKit is Python.
- License: agenta is Other, VLMEvalKit is Apache-2.0.
- Graph edge: agenta is a typed related of VLMEvalKit - see the relationship row above.
- Tags unique to agenta: agents, llm-as-a-judge, llm-evaluation, llm-monitoring.
- Also covers LLM Frameworks.
- Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities
When NOT to use agenta
- Looking for a service without the need to manage self-hosting setup
- Require real-time collaboration features that are not provided within this platform's scope
Choose VLMEvalKit if…
- VLMEvalKit is primarily Python; agenta is TypeScript.
- License: VLMEvalKit is Apache-2.0, agenta is Other.
- Graph edge: VLMEvalKit is a typed related of agenta - see the relationship row above.
- Tags unique to VLMEvalKit: computer-vision, large language models, llm, multi-modal.
- When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy.
When NOT to use VLMEvalKit
- If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format.
- When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agenta-AI/agenta) · observed Aug 7, 2026
- GitHub forks (Agenta-AI/agenta) · observed Aug 7, 2026
- Last push (Agenta-AI/agenta) · observed Aug 7, 2026
- License file (Other) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-compass/VLMEvalKit) · observed Aug 17, 2026
- GitHub forks (open-compass/VLMEvalKit) · observed Aug 17, 2026
- Last push (open-compass/VLMEvalKit) · observed Aug 17, 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 on cards: agenta 4.4k · VLMEvalKit 4.3k (synced Aug 7, 2026).
Common questions
- What is the difference between agenta and VLMEvalKit?
- agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. VLMEvalKit: An open-source evaluation toolkit for large vision-language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose agenta over VLMEvalKit?
- Choose agenta over VLMEvalKit when agenta is primarily TypeScript; VLMEvalKit is Python; License: agenta is Other, VLMEvalKit is Apache-2.0; Graph edge: agenta is a typed related of VLMEvalKit - see the relationship row above; Tags unique to agenta: agents, llm-as-a-judge, llm-evaluation, llm-monitoring; Also covers LLM Frameworks; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities.
- When should I choose VLMEvalKit over agenta?
- Choose VLMEvalKit over agenta when VLMEvalKit is primarily Python; agenta is TypeScript; License: VLMEvalKit is Apache-2.0, agenta is Other; Graph edge: VLMEvalKit is a typed related of agenta - see the relationship row above; Tags unique to VLMEvalKit: computer-vision, large language models, llm, multi-modal; When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy.
- When should I avoid agenta?
- Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope
- When should I avoid VLMEvalKit?
- If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format. When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction.
- Is agenta or VLMEvalKit more popular on GitHub?
- agenta has more GitHub stars (4,445 vs 4,345). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and VLMEvalKit open source?
- Yes - both are open-source projects on GitHub (agenta: Other, VLMEvalKit: Apache-2.0).
- Where can I find alternatives to agenta or VLMEvalKit?
- GraphCanon lists graph-backed alternatives at agenta alternatives and VLMEvalKit alternatives (agenta markdown twin, VLMEvalKit 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, agenta or VLMEvalKit?
- agenta: Very active. VLMEvalKit: 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 agenta and VLMEvalKit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta trust report; VLMEvalKit trust report.