Home/Compare/datafog-python vs ChatFiles

Comparison

datafog-python vs ChatFiles

Verdict

Pick datafog-python if datafog-python is an offline PII firewall for AI agents and LLM apps, featuring fast local detection and redaction of PII with minimal dependencies; pick ChatFiles if chatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database.

Markdown twin · datafog-python alternatives · ChatFiles alternatives

GraphCanon updated Sep 20, 2026

11views this month

datafog-python logo

datafog-python

DataFog/datafog-python

72pushed Sep 10, 2026
vs
ChatFiles logo

ChatFiles

guangzhengli/ChatFiles

3.3kpushed Dec 17, 2024

Trust & integrity

Signaldatafog-pythonChatFiles
Maintenance
Very active (2d since push)
As of Sep 13, 2026 · github_public_v1
Dormant (641d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 13, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-15
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

datafog-python
Offline PII firewall for AI agents and LLM apps
ChatFiles
Document Chatbot powered by GPT and Embedding

Stars

datafog-python
72
ChatFiles
3.3k

Forks

datafog-python
14
ChatFiles
461

Open issues

datafog-python
8
ChatFiles
18

Language

datafog-python
Python
ChatFiles
TypeScript

Adopt for

datafog-python
datafog-python is an offline PII firewall for AI agents and LLM apps, featuring fast local detection and redaction of PII with minimal dependencies.
ChatFiles
ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database.

Persona

datafog-python
-
ChatFiles
-

Runtime

datafog-python
-
ChatFiles
-

License

datafog-python
MIT
ChatFiles
MIT

Last pushed

datafog-python
Sep 10, 2026
ChatFiles
Dec 17, 2024

Categories

datafog-python
AI Agents, LLM Frameworks
ChatFiles
AI Agents, Vector Databases

Trust and health

Maintenance

datafog-python
Very active (96%)
ChatFiles
Dormant (18%)

Days since push

datafog-python
2d
ChatFiles
641d

Open issues (now)

datafog-python
8
ChatFiles
18

Stars delta

datafog-python
+6 (30d)
ChatFiles
-4 (30d)

Open issues delta

datafog-python
+2 (30d)
ChatFiles
0 (30d)

Owner type

datafog-python
Organization
ChatFiles
User

OSV dependency advisories

datafog-python
No published findings from this source as of 2026-07-15
ChatFiles
No lockfile (source not queried)

Full report

datafog-python
Trust report
ChatFiles
Trust report

Choose datafog-python if…

  • datafog-python is primarily Python; ChatFiles is TypeScript.
  • Tags unique to datafog-python: agent-security, anonymization, claude-code, compliance.
  • Also covers LLM Frameworks.
  • If you require rapid, offline detection and redaction of personally identifiable information without network calls or extensive dependencies.

When NOT to use datafog-python

  • When your application needs cloud-based processing capabilities beyond local pii detection and redaction offered by datafog-python.
  • If the need arises for advanced networked security features such as real-time threat intelligence updates, which datafog-python with its offline nature does not provide.

Choose ChatFiles if…

  • ChatFiles is primarily TypeScript; datafog-python is Python.
  • Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase..
  • Requirements: Local setup requires setting environment variables as outlined in the documentation..
  • Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase.
  • Also covers Vector Databases.
  • ChatFiles ships Docker support for self-hosted deployment.
  • You need to integrate file-based conversations into your web apps using TypeScript.

When NOT to use ChatFiles

  • If you aim to use languages other than TypeScript for your document chatbot functionality.
  • Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation.
  • The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: datafog-python 72 · ChatFiles 3.3k (synced Sep 20, 2026).

Common questions

What is the difference between datafog-python and ChatFiles?
datafog-python: Offline PII firewall for AI agents and LLM apps. ChatFiles: Document Chatbot powered by GPT and Embedding. See the comparison table for live GitHub stats and shared categories.
When should I choose datafog-python over ChatFiles?
Choose datafog-python over ChatFiles when datafog-python is primarily Python; ChatFiles is TypeScript; Tags unique to datafog-python: agent-security, anonymization, claude-code, compliance; Also covers LLM Frameworks; If you require rapid, offline detection and redaction of personally identifiable information without network calls or extensive dependencies.
When should I choose ChatFiles over datafog-python?
Choose ChatFiles over datafog-python when ChatFiles is primarily TypeScript; datafog-python is Python; Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase.; Requirements: Local setup requires setting environment variables as outlined in the documentation.; Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase; Also covers Vector Databases; ChatFiles ships Docker support for self-hosted deployment; You need to integrate file-based conversations into your web apps using TypeScript.
When should I avoid datafog-python?
When your application needs cloud-based processing capabilities beyond local pii detection and redaction offered by datafog-python. If the need arises for advanced networked security features such as real-time threat intelligence updates, which datafog-python with its offline nature does not provide.
When should I avoid ChatFiles?
If you aim to use languages other than TypeScript for your document chatbot functionality. Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation. The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.
Is datafog-python or ChatFiles more popular on GitHub?
ChatFiles has more GitHub stars (3,337 vs 72). Stars measure visibility, not whether either tool fits your constraints.
Are datafog-python and ChatFiles open source?
Yes - both are open-source projects on GitHub (datafog-python: MIT, ChatFiles: MIT).
Where can I find alternatives to datafog-python or ChatFiles?
GraphCanon lists graph-backed alternatives at datafog-python alternatives and ChatFiles alternatives (datafog-python markdown twin, ChatFiles 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 ChatFiles?
datafog-python: Very active. ChatFiles: 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 datafog-python and ChatFiles?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datafog-python trust report; ChatFiles trust report.

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