Comparison
dingo vs zeno
Verdict
Pick dingo if dingo includes a unique focus on multi-agent debate patterns ('Agent-as-a-Judge') for bias reduction and complex reasoning in evaluation tasks; pick zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks.
Markdown twin · dingo alternatives · zeno alternatives
GraphCanon updated Sep 28, 2026
8views this month
Trust & integrity
| Signal | dingo | zeno |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 6, 2026 · github_public_v1 | Archived (1088d since push) As of Sep 28, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 28, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- dingo
- Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
- zeno
- AI Data Management & Evaluation Platform
Stars
- dingo
- 753
- zeno
- 214
Forks
- dingo
- 77
- zeno
- 11
Open issues
- dingo
- 5
- zeno
- 45
Language
- dingo
- Python
- zeno
- Svelte
Adopt for
- dingo
- Dingo includes a unique focus on multi-agent debate patterns ('Agent-as-a-Judge') for bias reduction and complex reasoning in evaluation tasks.
- zeno
- Zeno combines Python API with an interactive UI for evaluating ML models across various tasks.
Persona
- dingo
- -
- zeno
- -
Runtime
- dingo
- -
- zeno
- -
License
- dingo
- Licensed under the Apache-2.0 license, it includes fasttext functionality for language detection, which itself is licensed under the MIT License.
- zeno
- MIT
Last pushed
- dingo
- Sep 3, 2026
- zeno
- Oct 5, 2023
Categories
- dingo
- Data & Retrieval, Evaluation & Observability
- zeno
- Evaluation & Observability
Trust and health
Maintenance
- dingo
- Very active (96%)
- zeno
- Archived (8%)
Days since push
- dingo
- 3d
- zeno
- 1088d
Archived on GitHub
- dingo
- No
- zeno
- Yes
Open issues (now)
- dingo
- 5
- zeno
- 45
Stars delta
- dingo
- +20 (30d)
- zeno
- 0 (30d)
Open issues delta
- dingo
- +1 (30d)
- zeno
- 0 (30d)
OSV dependency advisories
- dingo
- No published findings from this source as of 2026-07-11
- zeno
- Published findings
Full report
- dingo
- Trust report
- zeno
- Trust report
Choose dingo if…
- dingo is primarily Python; zeno is Svelte.
- License: dingo is Apache-2.0, zeno is MIT.
- Pricing: The tool currently offers free open-source options under an Apache 2.0 license with plans for future SaaS platform services that may come at a cost..
- Tags unique to dingo: agent-as-a-judge, data-evaluation, data-quality, hallucination-detection.
- Also covers Data & Retrieval.
- When evaluating the quality of data, models, or applications that require insights from multiple perspectives to detect nuances such as bias or hallucination.
When NOT to use dingo
- If your project does not benefit from a multi-agent approach for evaluation, and simpler single-model approaches suffice.
- In scenarios where immediate feedback is critical but Dingo's planned SaaS platform with API access and dashboard support are still under development.
Choose zeno if…
- zeno is primarily Svelte; dingo is Python.
- License: zeno is MIT, dingo is Apache-2.0.
- Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning.
- You need to analyze model performance interactively via a user interface
When NOT to use zeno
- Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework
- If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MigoXLab/dingo) · observed Sep 20, 2026
- GitHub forks (MigoXLab/dingo) · observed Sep 20, 2026
- Last push (MigoXLab/dingo) · observed Sep 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zeno-ml/zeno) · observed Sep 28, 2026
- GitHub forks (zeno-ml/zeno) · observed Sep 28, 2026
- Last push (zeno-ml/zeno) · observed Oct 5, 2023
- License file (MIT) · observed Sep 28, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dingo 753 · zeno 214 (synced Sep 20, 2026).
Common questions
- What is the difference between dingo and zeno?
- dingo: Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose dingo over zeno?
- Choose dingo over zeno when dingo is primarily Python; zeno is Svelte; License: dingo is Apache-2.0, zeno is MIT; Pricing: The tool currently offers free open-source options under an Apache 2.0 license with plans for future SaaS platform services that may come at a cost.; Tags unique to dingo: agent-as-a-judge, data-evaluation, data-quality, hallucination-detection; Also covers Data & Retrieval; When evaluating the quality of data, models, or applications that require insights from multiple perspectives to detect nuances such as bias or hallucination.
- When should I choose zeno over dingo?
- Choose zeno over dingo when zeno is primarily Svelte; dingo is Python; License: zeno is MIT, dingo is Apache-2.0; Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning; You need to analyze model performance interactively via a user interface.
- When should I avoid dingo?
- If your project does not benefit from a multi-agent approach for evaluation, and simpler single-model approaches suffice. In scenarios where immediate feedback is critical but Dingo's planned SaaS platform with API access and dashboard support are still under development.
- When should I avoid zeno?
- Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
- Is dingo or zeno more popular on GitHub?
- dingo has more GitHub stars (753 vs 214). Stars measure visibility, not whether either tool fits your constraints.
- Are dingo and zeno open source?
- Yes - both are open-source projects on GitHub (dingo: Apache-2.0, zeno: MIT).
- Where can I find alternatives to dingo or zeno?
- GraphCanon lists graph-backed alternatives at dingo alternatives and zeno alternatives (dingo markdown twin, zeno 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, dingo or zeno?
- dingo: Very active. zeno: Archived. 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 dingo and zeno?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dingo trust report; zeno trust report.