Comparison
contextcheck vs future-agi
Verdict
Pick contextcheck if contextcheck, an MIT-licensed Python framework for evaluating large language models and RAG systems through configurable YAML settings that integrate with CI pipelines; pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,.
Markdown twin · contextcheck alternatives · future-agi alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | contextcheck | future-agi |
|---|---|---|
| Maintenance | Dormant (635d since push) As of Sep 8, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- contextcheck
- Framework for LLMs and RAGs testing in Python
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- contextcheck
- 97
- future-agi
- 2.0k
Forks
- contextcheck
- 11
- future-agi
- 627
Open issues
- contextcheck
- 1
- future-agi
- 961
Language
- contextcheck
- Python
- future-agi
- Python
Adopt for
- contextcheck
- Contextcheck, an MIT-licensed Python framework for evaluating large language models and RAG systems through configurable YAML settings that integrate with CI pipelines.
- future-agi
- Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
Persona
- contextcheck
- -
- future-agi
- -
Runtime
- contextcheck
- -
- future-agi
- -
License
- contextcheck
- MIT
- future-agi
- Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms.
Last pushed
- contextcheck
- Dec 11, 2024
- future-agi
- Sep 18, 2026
Categories
- contextcheck
- Evaluation & Observability, Model Training
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- contextcheck
- Dormant (18%)
- future-agi
- Very active (96%)
Days since push
- contextcheck
- 635d
- future-agi
- 0d
Open issues (now)
- contextcheck
- 1
- future-agi
- 961
Stars delta
- contextcheck
- +1 (30d)
- future-agi
- +473 (30d)
Open issues delta
- contextcheck
- 0 (30d)
- future-agi
- +365 (30d)
Full report
- contextcheck
- Trust report
- future-agi
- Trust report
Choose contextcheck if…
- License: contextcheck is MIT, future-agi is Apache-2.0.
- Tags unique to contextcheck: ai-chat, ai-testing, chatbot-framework, ci-integration.
- Also covers Model Training.
- When you require a framework specifically designed to test the robustness of both LLMs and Retrieval-Augmented Generation systems within Python projects.
When NOT to use contextcheck
- Avoid if you aim for a framework without configuration flexibility through YAML as contextcheck strictly relies on this format for setting up test environments.
- Skip contextcheck if your project environment or requirements do not align with the MIT license terms, especially in contexts where licensing compatibility must be strictly observed.
Choose future-agi if…
- License: future-agi is Apache-2.0, contextcheck is MIT.
- Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing..
- Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment..
- Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization.
- Also covers AI Agents, LLM Frameworks.
- future-agi ships Docker support for self-hosted deployment.
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When NOT to use future-agi
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
- You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
- Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Addepto/contextcheck) · observed Sep 20, 2026
- GitHub forks (Addepto/contextcheck) · observed Sep 20, 2026
- Last push (Addepto/contextcheck) · observed Dec 11, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (future-agi/future-agi) · observed Sep 20, 2026
- GitHub forks (future-agi/future-agi) · observed Sep 20, 2026
- Last push (future-agi/future-agi) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: contextcheck 97 · future-agi 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between contextcheck and future-agi?
- contextcheck: Framework for LLMs and RAGs testing in Python. future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose contextcheck over future-agi?
- Choose contextcheck over future-agi when License: contextcheck is MIT, future-agi is Apache-2.0; Tags unique to contextcheck: ai-chat, ai-testing, chatbot-framework, ci-integration; Also covers Model Training; When you require a framework specifically designed to test the robustness of both LLMs and Retrieval-Augmented Generation systems within Python projects.
- When should I choose future-agi over contextcheck?
- Choose future-agi over contextcheck when License: future-agi is Apache-2.0, contextcheck is MIT; Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers AI Agents, LLM Frameworks; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
- When should I avoid contextcheck?
- Avoid if you aim for a framework without configuration flexibility through YAML as contextcheck strictly relies on this format for setting up test environments. Skip contextcheck if your project environment or requirements do not align with the MIT license terms, especially in contexts where licensing compatibility must be strictly observed.
- When should I avoid future-agi?
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
- Is contextcheck or future-agi more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 97). Stars measure visibility, not whether either tool fits your constraints.
- Are contextcheck and future-agi open source?
- Yes - both are open-source projects on GitHub (contextcheck: MIT, future-agi: Apache-2.0).
- Where can I find alternatives to contextcheck or future-agi?
- GraphCanon lists graph-backed alternatives at contextcheck alternatives and future-agi alternatives (contextcheck markdown twin, future-agi 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, contextcheck or future-agi?
- contextcheck: Dormant. future-agi: 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 contextcheck and future-agi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contextcheck trust report; future-agi trust report.