Comparison
datafog-python vs deep-searcher
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 deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · datafog-python alternatives · deep-searcher alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | datafog-python | deep-searcher |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 13, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 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
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- datafog-python
- 72
- deep-searcher
- 8.1k
Forks
- datafog-python
- 14
- deep-searcher
- 775
Open issues
- datafog-python
- 8
- deep-searcher
- 53
Language
- datafog-python
- Python
- deep-searcher
- Python
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.
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- datafog-python
- -
- deep-searcher
- -
Runtime
- datafog-python
- -
- deep-searcher
- -
License
- datafog-python
- MIT
- deep-searcher
- Apache-2.0
Last pushed
- datafog-python
- Sep 10, 2026
- deep-searcher
- Nov 19, 2025
Categories
- datafog-python
- AI Agents, LLM Frameworks
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- datafog-python
- Very active (96%)
- deep-searcher
- Slowing (36%)
Days since push
- datafog-python
- 2d
- deep-searcher
- 272d
Open issues (now)
- datafog-python
- 8
- deep-searcher
- 53
Stars delta
- datafog-python
- +6 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- datafog-python
- +2 (30d)
- deep-searcher
- 0 (30d)
OSV dependency advisories
- datafog-python
- No published findings from this source as of 2026-07-15
- deep-searcher
- No lockfile (source not queried)
Full report
- datafog-python
- Trust report
- deep-searcher
- Trust report
Shared compatibility
- Python · datafog-python: Python runtime · deep-searcher: Python runtime
Choose datafog-python if…
- License: datafog-python is MIT, deep-searcher is Apache-2.0.
- Tags unique to datafog-python: agent-security, anonymization, claude-code, compliance.
- 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 deep-searcher if…
- License: deep-searcher is Apache-2.0, datafog-python is MIT.
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
- Also covers Vector Databases.
- deep-searcher ships Docker support for self-hosted deployment.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
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 Sep 20, 2026
- GitHub forks (DataFog/datafog-python) · observed Sep 20, 2026
- Last push (DataFog/datafog-python) · observed Sep 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 20, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 20, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datafog-python 72 · deep-searcher 8.1k (synced Sep 20, 2026).
Common questions
- What is the difference between datafog-python and deep-searcher?
- datafog-python: Offline PII firewall for AI agents and LLM apps. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose datafog-python over deep-searcher?
- Choose datafog-python over deep-searcher when License: datafog-python is MIT, deep-searcher is Apache-2.0; Tags unique to datafog-python: agent-security, anonymization, claude-code, compliance; If you require rapid, offline detection and redaction of personally identifiable information without network calls or extensive dependencies.
- When should I choose deep-searcher over datafog-python?
- Choose deep-searcher over datafog-python when License: deep-searcher is Apache-2.0, datafog-python is MIT; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers Vector Databases; deep-searcher ships Docker support for self-hosted deployment; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- 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 deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is datafog-python or deep-searcher more popular on GitHub?
- deep-searcher has more GitHub stars (8,060 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are datafog-python and deep-searcher open source?
- Yes - both are open-source projects on GitHub (datafog-python: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to datafog-python or deep-searcher?
- GraphCanon lists graph-backed alternatives at datafog-python alternatives and deep-searcher alternatives (datafog-python markdown twin, deep-searcher 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 deep-searcher?
- datafog-python: Very active. deep-searcher: Slowing. 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 deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datafog-python trust report; deep-searcher trust report.