DeepAnalyze

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!

Research & Data Python Grade D Listed MIT
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Listing state
Listed
HVTrust
21.0/100 · Grade D
Evidence coverage
Grade D · 1/5 signals
Last push
2026-07-01 · 8d ago
Recent change
New

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
21.0/100 · Grade D
Strongest Signal
Maintenance
13.9/20
Weakest Signal
Safety / Integrity
0.7/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-09
Newly Listed
First tracked at rank #323
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
66.4
Activity Score · out of 100
21.0
HVTrust Score · out of 100
#323
Global Rank · of 328
#20

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-09 20:05 UTC · Repo last pushed 8 days ago

Activity & Reach

Stars
4.3k
Forks
687
Last Push
2026-07-01
8 days ago
Commits (4 wk)
3
Downloads (7d)
HN mentions (30d)
Open Issues
16
Rank Change
NEW

Analysis

HVTrust Dimensions

21.0 / 100 · 50.0% confidence
Safety / IntegrityOSSF, provenance, signatures
0.7 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
8.5 / 17
MaintenanceFreshness and commits
13.9 / 20
AdoptionStars and downloads
8.7 / 20

Activity Inputs

66.4 / 100
StarsRepository reach
21.8 / 30
FreshnessLast push recency
23.9 / 25
ActivityRecent commits
7.5 / 25
CommunityFork signal
13.2 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
13%
of last 100 commits verified

Is DeepAnalyze safe?

Public trust evidence for DeepAnalyze is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does DeepAnalyze publish package provenance?
No published build provenance is currently detected for DeepAnalyze. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does DeepAnalyze have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for DeepAnalyze. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is DeepAnalyze actively maintained?
Maintained. Last push was 8 days ago.
What license does DeepAnalyze use?
DeepAnalyze ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are DeepAnalyze's commits signed?
13% of the last 100 commits to DeepAnalyze are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Ranked neighbours in Research & Data

AI agent surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
medium confidence
Declared
MCP support appears present, but direct server implementation is less certain.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
medium confidence
Declared
Declared plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain DeepAnalyze?

HVTrust scores DeepAnalyze from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

Listed 1
2026-07-09
Newly Listed
First tracked at rank #323

Embed Badge Badge guide for maintainers →

HVTrust 21.0 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/deepanalyze.svg)](https://hvtracker.net/agents/deepanalyze)
HTML:
<a href="https://hvtracker.net/agents/deepanalyze"><img src="https://hvtracker.net/badge/deepanalyze.svg" alt="HVTrust"></a>

Other agents in Research & Data

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON