Comparison
deepeval vs futureagi-sdk
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 futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Markdown twin · deepeval alternatives · futureagi-sdk alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | deepeval | futureagi-sdk |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3w · github_public_v1 | Active (25d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- deepeval
- LLM Evaluation Framework.
- futureagi-sdk
- Production-grade AI evaluation, prompt management & observability SDK
Stars
- deepeval
- 17k
- futureagi-sdk
- 48
Forks
- deepeval
- 1.7k
- futureagi-sdk
- 5
Open issues
- deepeval
- 404
- futureagi-sdk
- 3
Language
- deepeval
- Python
- futureagi-sdk
- Python
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- futureagi-sdk
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Persona
- deepeval
- -
- futureagi-sdk
- -
Runtime
- deepeval
- -
- futureagi-sdk
- -
License
- deepeval
- Apache-2.0 License
- futureagi-sdk
- The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices.
Last pushed
- deepeval
- Jul 27, 2026
- futureagi-sdk
- Jul 8, 2026
Categories
- deepeval
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- futureagi-sdk
- Active (82%)
Days since push
- deepeval
- 1d
- futureagi-sdk
- 25d
Open issues (now)
- deepeval
- 404
- futureagi-sdk
- 3
Full report
- deepeval
- Trust report
- futureagi-sdk
- Trust report
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 futureagi-sdk if…
- Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails.
- Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development.
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
When NOT to use futureagi-sdk
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 Jul 28, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 28, 2026
- Last push (confident-ai/deepeval) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/futureagi-sdk) · observed Aug 2, 2026
- GitHub forks (future-agi/futureagi-sdk) · observed Aug 2, 2026
- Last push (future-agi/futureagi-sdk) · observed Jul 8, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepeval 17k · futureagi-sdk 48 (synced Jul 28, 2026).
Common questions
- What is the difference between deepeval and futureagi-sdk?
- deepeval: LLM Evaluation Framework.. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepeval over futureagi-sdk?
- Choose deepeval over futureagi-sdk 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 futureagi-sdk over deepeval?
- Choose futureagi-sdk over deepeval when Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
- 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 futureagi-sdk?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is deepeval or futureagi-sdk more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 48). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and futureagi-sdk open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, futureagi-sdk: Apache-2.0).
- Where can I find alternatives to deepeval or futureagi-sdk?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and futureagi-sdk alternatives (deepeval markdown twin, futureagi-sdk 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 futureagi-sdk?
- deepeval: Very active. futureagi-sdk: 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 deepeval and futureagi-sdk?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; futureagi-sdk trust report.