Comparison
vigil-llm vs fact-checker
Verdict
Pick vigil-llm when vigil-llm is primarily Python; fact-checker is Jupyter Notebook; pick fact-checker when fact-checker is primarily Jupyter Notebook; vigil-llm is Python.
Markdown twin · vigil-llm alternatives · fact-checker alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | vigil-llm | fact-checker |
|---|---|---|
| Maintenance | Dormant (891d since push) As of today · github_public_v1 | Dormant (991d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- vigil-llm
- ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
- fact-checker
- Fact-checking LLM outputs with self-ask
Stars
- vigil-llm
- 489
- fact-checker
- 308
Forks
- vigil-llm
- 55
- fact-checker
- 40
Open issues
- vigil-llm
- 16
- fact-checker
- 0
Language
- vigil-llm
- Python
- fact-checker
- Jupyter Notebook
Adopt for
- vigil-llm
- Vigil-LLM is specifically designed for detecting prompt injections and jailbreaks in LLM inputs, offering unique capabilities not found in all security tools.
- fact-checker
- -
Persona
- vigil-llm
- -
- fact-checker
- -
Runtime
- vigil-llm
- -
- fact-checker
- -
License
- vigil-llm
- Apache-2.0
- fact-checker
- -
Last pushed
- vigil-llm
- Jan 31, 2024
- fact-checker
- Oct 23, 2023
Categories
- vigil-llm
- LLM Frameworks, Vector Databases, Evaluation & Observability
- fact-checker
- Vector Databases, LLM Frameworks
Trust and health
Days since push
- vigil-llm
- 891d
- fact-checker
- 991d
Open issues (now)
- vigil-llm
- 16
- fact-checker
- 0
Full report
- vigil-llm
- Trust report
- fact-checker
- Trust report
Choose vigil-llm if…
- vigil-llm is primarily Python; fact-checker is Jupyter Notebook.
- Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage..
- Requirements: Min 4 GB RAM.
- Tags unique to vigil-llm: llmops, adversarial-attacks, prompt-injection, security-tools.
- Also covers Evaluation & Observability.
- When integrating large language models into applications that need robust protection against prompt injection attacks.
When NOT to use vigil-llm
- If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks.
- When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively.
Choose fact-checker if…
- fact-checker is primarily Jupyter Notebook; vigil-llm is Python.
- Tags unique to fact-checker: llm, python, jupyter notebook.
- Leaner open-issue backlog (0).
When NOT to use fact-checker
- Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on fact-checker.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deadbits/vigil-llm) · observed Jul 11, 2026
- GitHub forks (deadbits/vigil-llm) · observed Jul 11, 2026
- Last push (deadbits/vigil-llm) · observed Jan 31, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jagilley/fact-checker) · observed Jul 11, 2026
- GitHub forks (jagilley/fact-checker) · observed Jul 11, 2026
- Last push (jagilley/fact-checker) · observed Oct 23, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: vigil-llm 489 · fact-checker 308 (synced Jul 11, 2026).
Common questions
- What is the difference between vigil-llm and fact-checker?
- vigil-llm: ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs. fact-checker: Fact-checking LLM outputs with self-ask. See the comparison table for live GitHub stats and shared categories.
- When should I choose vigil-llm over fact-checker?
- Choose vigil-llm over fact-checker when vigil-llm is primarily Python; fact-checker is Jupyter Notebook; Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage.; Requirements: Min 4 GB RAM; Tags unique to vigil-llm: llmops, adversarial-attacks, prompt-injection, security-tools; Also covers Evaluation & Observability; When integrating large language models into applications that need robust protection against prompt injection attacks.
- When should I choose fact-checker over vigil-llm?
- Choose fact-checker over vigil-llm when fact-checker is primarily Jupyter Notebook; vigil-llm is Python; Tags unique to fact-checker: llm, python, jupyter notebook; Leaner open-issue backlog (0).
- When should I avoid vigil-llm?
- If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks. When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively.
- When should I avoid fact-checker?
- Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on fact-checker. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is vigil-llm or fact-checker more popular on GitHub?
- vigil-llm has more GitHub stars (489 vs 308). Stars measure visibility, not whether either tool fits your constraints.
- Are vigil-llm and fact-checker open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to vigil-llm or fact-checker?
- GraphCanon lists graph-backed alternatives at vigil-llm alternatives and fact-checker alternatives (vigil-llm markdown twin, fact-checker 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, vigil-llm or fact-checker?
- vigil-llm: Dormant. fact-checker: 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 vigil-llm and fact-checker?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; fact-checker trust report.