Comparison
contextcheck vs filco
Verdict
Pick contextcheck if contextcheck is a MIT-licensed framework for testing large language models, retrieval-augmented generation systems, and chatbots. It is configurable via YAML and can be integrated into CI pipelines for automated testing; pick filco if filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage.
Markdown twin · contextcheck alternatives · filco alternatives
GraphCanon updated Sep 30, 2026
Trust & integrity
| Signal | contextcheck | filco |
|---|---|---|
| Maintenance | Dormant (635d since push) As of Sep 8, 2026 · github_public_v1 | Dormant (894d 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 · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings 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, RAGs, Chatbots testing
- filco
- Learning to Filter Context for Retrieval-Augmented Generation
Stars
- contextcheck
- 97
- filco
- 199
Forks
- contextcheck
- 11
- filco
- 20
Open issues
- contextcheck
- 1
- filco
- 2
Language
- contextcheck
- Python
- filco
- Python
Adopt for
- contextcheck
- Contextcheck is a MIT-licensed framework for testing large language models, retrieval-augmented generation systems, and chatbots. It is configurable via YAML and can be integrated into CI pipelines for automated testing.
- filco
- Filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage Retriever for retrieving relevant Wikipedia passages.
Persona
- contextcheck
- -
- filco
- -
Runtime
- contextcheck
- -
- filco
- -
License
- contextcheck
- MIT-licensed, allowing for free use, modification, and distribution.
- filco
- CC-BY-SA-4.0
Last pushed
- contextcheck
- Dec 11, 2024
- filco
- Apr 6, 2024
Categories
- contextcheck
- Evaluation & Observability
- filco
- Data & Retrieval, Model Training
Trust and health
Days since push
- contextcheck
- 635d
- filco
- 894d
Open issues (now)
- contextcheck
- 1
- filco
- 2
Owner type
- contextcheck
- Organization
- filco
- User
OSV dependency advisories
- contextcheck
- No lockfile (source not queried)
- filco
- Published findings
Full report
- contextcheck
- Trust report
- filco
- Trust report
Choose contextcheck if…
- License: contextcheck is MIT, filco is CC-BY-SA-4.0.
- Requirements: Requires Python environment.; Supports integration with CI pipelines..
- Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework.
- Also covers Evaluation & Observability.
- When you need a framework that is specifically designed for testing large language models, retrieval-augmented generation systems, and chatbots.
When NOT to use contextcheck
- If your testing requirements do not align with the specific focus on large language models, retrieval-augmented generation systems, and chatbots.
- If you prefer a testing tool that does not require YAML configuration or CI pipeline integration.
Choose filco if…
- License: filco is CC-BY-SA-4.0, contextcheck is MIT.
- Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2.
- Also covers Data & Retrieval, Model Training.
- When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
When NOT to use filco
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering.
- When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever.
- If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
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 Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zorazrw/filco) · observed Sep 20, 2026
- GitHub forks (zorazrw/filco) · observed Sep 20, 2026
- Last push (zorazrw/filco) · observed Apr 6, 2024
- License file (CC-BY-SA-4.0) · 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 · filco 199 (synced Sep 20, 2026).
Common questions
- What is the difference between contextcheck and filco?
- contextcheck: Framework for LLMs, RAGs, Chatbots testing. filco: Learning to Filter Context for Retrieval-Augmented Generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose contextcheck over filco?
- Choose contextcheck over filco when License: contextcheck is MIT, filco is CC-BY-SA-4.0; Requirements: Requires Python environment.; Supports integration with CI pipelines.; Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework; Also covers Evaluation & Observability; When you need a framework that is specifically designed for testing large language models, retrieval-augmented generation systems, and chatbots.
- When should I choose filco over contextcheck?
- Choose filco over contextcheck when License: filco is CC-BY-SA-4.0, contextcheck is MIT; Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2; Also covers Data & Retrieval, Model Training; When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
- When should I avoid contextcheck?
- If your testing requirements do not align with the specific focus on large language models, retrieval-augmented generation systems, and chatbots. If you prefer a testing tool that does not require YAML configuration or CI pipeline integration.
- When should I avoid filco?
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering. When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever. If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
- Is contextcheck or filco more popular on GitHub?
- filco has more GitHub stars (199 vs 97). Stars measure visibility, not whether either tool fits your constraints.
- Are contextcheck and filco open source?
- Yes - both are open-source projects on GitHub (contextcheck: MIT, filco: CC-BY-SA-4.0).
- Where can I find alternatives to contextcheck or filco?
- GraphCanon lists graph-backed alternatives at contextcheck alternatives and filco alternatives (contextcheck markdown twin, filco 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 filco?
- contextcheck: Dormant. filco: Dormant. 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 filco?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contextcheck trust report; filco trust report.