--- title: "datafog-python vs ChatFiles" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datafog-datafog-python-vs-guangzhengli-chatfiles" tools: ["datafog-datafog-python", "guangzhengli-chatfiles"] --- # datafog-python vs ChatFiles *GraphCanon updated Sep 20, 2026* ## 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. [datafog-python](https://datafog.ai) reports 72 GitHub stars, 14 forks, and 8 open issues, last pushed Sep 10, 2026. [ChatFiles](https://github.com/guangzhengli/ChatFiles) has 3.3k stars, 461 forks, and 18 open issues, last pushed Dec 17, 2024. Figures are from public GitHub metadata via [datafog-python's repository](https://github.com/DataFog/datafog-python) and [ChatFiles's repository](https://github.com/guangzhengli/ChatFiles). | | [datafog-python](/tools/datafog-datafog-python.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Tagline | Offline PII firewall for AI agents and LLM apps | Document Chatbot powered by GPT and Embedding | | Stars | 72 | 3,337 | | Forks | 14 | 461 | | Open issues | 8 | 18 | | Language | Python | TypeScript | | Adopt for | 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 uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [datafog-python](/tools/datafog-datafog-python.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 641d | | Open issues (now) | 8 | 18 | | Stars delta | +6 (30d) | -4 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/datafog-datafog-python/trust.md) | [trust report](/tools/guangzhengli-chatfiles/trust.md) | ## Decision facts: datafog-python - **Adopt for:** datafog-python is an offline PII firewall for AI agents and LLM apps, featuring fast local detection and redaction of PII with minimal dependencies. ## Decision facts: ChatFiles - **Pricing:** freemium - 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. - **Adopt for:** ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/datafog-datafog-python/alternatives) and [ChatFiles alternatives](/tools/guangzhengli-chatfiles/alternatives) ([datafog-python markdown twin](/tools/datafog-datafog-python/alternatives.md), [ChatFiles markdown twin](/tools/guangzhengli-chatfiles/alternatives.md)), 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](/compare/datafog-datafog-python-vs-guangzhengli-chatfiles.md) 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](/tools/datafog-datafog-python/trust); [ChatFiles trust report](/tools/guangzhengli-chatfiles/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=datafog-datafog-python`](/api/graphcanon/graph?tool=datafog-datafog-python) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_