Comparison
datafog-python vs anything-llm
Verdict
Pick datafog-python when datafog-python is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; datafog-python is Python.
Markdown twin · datafog-python alternatives · anything-llm alternatives
GraphCanon updated today
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Trust & integrity
| Signal | datafog-python | anything-llm |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- datafog-python
- Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM guardrail. Zero network calls, one dependency.
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- datafog-python
- 67
- anything-llm
- 63k
Forks
- datafog-python
- 14
- anything-llm
- 6.9k
Open issues
- datafog-python
- 6
- anything-llm
- 320
Language
- datafog-python
- Python
- anything-llm
- JavaScript
Adopt for
- datafog-python
- -
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- datafog-python
- -
- anything-llm
- -
Runtime
- datafog-python
- -
- anything-llm
- -
License
- datafog-python
- MIT
- anything-llm
- MIT
Last pushed
- datafog-python
- Jul 14, 2026
- anything-llm
- Jul 11, 2026
Categories
- datafog-python
- AI Agents, Computer Vision, LLM Frameworks
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Open issues (now)
- datafog-python
- 6
- anything-llm
- 320
OSV dependency advisories
- datafog-python
- No published findings from this source as of 2026-07-15
- anything-llm
- No lockfile (source not queried)
Full report
- datafog-python
- Trust report
- anything-llm
- Trust report
Choose datafog-python if…
- datafog-python is primarily Python; anything-llm is JavaScript.
- Tags unique to datafog-python: agent-security, ai-agents, anonymization, claude code.
- Also covers Computer Vision, LLM Frameworks.
When NOT to use datafog-python
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose anything-llm if…
- anything-llm is primarily JavaScript; datafog-python is Python.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DataFog/datafog-python) · observed Jul 15, 2026
- GitHub forks (DataFog/datafog-python) · observed Jul 15, 2026
- Last push (DataFog/datafog-python) · observed Jul 14, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datafog-python 67 · anything-llm 63k (synced Jul 15, 2026).
Common questions
- What is the difference between datafog-python and anything-llm?
- datafog-python: Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM guardrail. Zero network calls, one dependency.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose datafog-python over anything-llm?
- Choose datafog-python over anything-llm when datafog-python is primarily Python; anything-llm is JavaScript; Tags unique to datafog-python: agent-security, ai-agents, anonymization, claude code; Also covers Computer Vision, LLM Frameworks.
- When should I choose anything-llm over datafog-python?
- Choose anything-llm over datafog-python when anything-llm is primarily JavaScript; datafog-python is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I avoid datafog-python?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- Is datafog-python or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 67). Stars measure visibility, not whether either tool fits your constraints.
- Are datafog-python and anything-llm open source?
- Yes - both are open-source projects on GitHub (datafog-python: MIT, anything-llm: MIT).
- Where can I find alternatives to datafog-python or anything-llm?
- GraphCanon lists graph-backed alternatives at datafog-python alternatives and anything-llm alternatives (datafog-python markdown twin, anything-llm 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, datafog-python or anything-llm?
- datafog-python: Very active. anything-llm: 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 datafog-python and anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datafog-python trust report; anything-llm trust report.