Comparison
deepeval vs GAGE
Verdict
Pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies; pick GAGE if gAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments.
Markdown twin · deepeval alternatives · GAGE alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | deepeval | GAGE |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (99d since push) As of Sep 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 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
- deepeval
- LLM Evaluation Framework.
- GAGE
- Unified Evaluation Engine for AI Models
Stars
- deepeval
- 18k
- GAGE
- 52
Forks
- deepeval
- 2.0k
- GAGE
- 8
Open issues
- deepeval
- 624
- GAGE
- 3
Language
- deepeval
- Python
- GAGE
- Python
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- GAGE
- GAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments.
Persona
- deepeval
- -
- GAGE
- -
Runtime
- deepeval
- -
- GAGE
- -
License
- deepeval
- Apache-2.0 License
- GAGE
- (unknown) - License unknown, proceed with caution as license compliance may be unclear.
Last pushed
- deepeval
- Sep 18, 2026
- GAGE
- Jun 2, 2026
Categories
- deepeval
- Evaluation & Observability
- GAGE
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- GAGE
- Slowing (36%)
Days since push
- deepeval
- 1d
- GAGE
- 99d
Open issues (now)
- deepeval
- 624
- GAGE
- 3
Stars delta
- deepeval
- +1.1k (30d)
- GAGE
- +1 (30d)
Open issues delta
- deepeval
- +220 (30d)
- GAGE
- 0 (30d)
OSV dependency advisories
- deepeval
- No lockfile (source not queried)
- GAGE
- Published findings
Full report
- deepeval
- Trust report
- GAGE
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · GAGE: Python runtime
Choose deepeval if…
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: llm-evaluation, metrics.
- When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When NOT to use deepeval
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
- In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
Choose GAGE if…
- Tags unique to GAGE: agents, audio_models, diffusion-models, game_environments.
- If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong.
- Leaner open-issue backlog (3).
When NOT to use GAGE
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games.
- Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (confident-ai/deepeval) · observed Sep 20, 2026
- GitHub forks (confident-ai/deepeval) · observed Sep 20, 2026
- Last push (confident-ai/deepeval) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HiThink-Research/GAGE) · observed Sep 20, 2026
- GitHub forks (HiThink-Research/GAGE) · observed Sep 20, 2026
- Last push (HiThink-Research/GAGE) · observed Jun 2, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: deepeval 18k · GAGE 52 (synced Sep 20, 2026).
Common questions
- What is the difference between deepeval and GAGE?
- deepeval: LLM Evaluation Framework.. GAGE: Unified Evaluation Engine for AI Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over GAGE?
- Choose deepeval over GAGE when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- When should I choose GAGE over deepeval?
- Choose GAGE over deepeval when Tags unique to GAGE: agents, audio_models, diffusion-models, game_environments; If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong; Leaner open-issue backlog (3).
- When should I avoid deepeval?
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
- When should I avoid GAGE?
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games. Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
- Is deepeval or GAGE more popular on GitHub?
- deepeval has more GitHub stars (18,341 vs 52). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and GAGE open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to deepeval or GAGE?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and GAGE alternatives (deepeval markdown twin, GAGE 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, deepeval or GAGE?
- deepeval: Very active. GAGE: Slowing. 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 deepeval and GAGE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; GAGE trust report.