DATAGEN AI Agent
by zi-yue-1129DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
DATAGEN is an open-source ai agent by zi-yue-1129, written mainly in Python, with 1,811 GitHub stars and the MIT license. Its code was last updated Oct 26, 2026.
Scan summary: scanned Nov 5, 2026 at commit cdafd92. No capabilities flagged by our checks. Scan policy
ScannedScanned. The automated checks below ran on the commit shown. Read each line for what was and was not covered.
Full scan at
cdafd92 · Nov 5, 2026 ScannedStatic, secrets and dependency checks completed with no critical findings.
Passed. This check ran and found nothing it flags.Static code scanpassPassed. This check ran and found nothing it flags.
Passed. This check ran and found nothing it flags.Secrets scanpassPassed. This check ran and found nothing it flags.
Flagged. This check found an issue. See the findings below.Dependency audit63 known vulnerabilitiesfailFlagged. This check found an issue. See the findings below.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.ManifestnonewarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Flagged. This check found an issue. See the findings below.BuildfailFlagged. This check found an issue. See the findings below.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Boot & handshaken/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Network egressn/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Reproducible (×3)n/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Findings (8)
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.pip@9.0.3: 9 known vulnerabilitiesPYSEC-2020-173, PYSEC-2021-437, PYSEC-2023-228, PYSEC-2026-1795, PYSEC-2026-1796 +4 more
requirements-dev.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.python-multipart@0.0.9: 8 known vulnerabilitiesPYSEC-2026-1851, PYSEC-2026-1852, PYSEC-2026-3036, PYSEC-2026-3037, PYSEC-2026-3038 +3 more
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Install or build failed in a clean environmenterror: Failed to parse metadata from built wheel cause: Metadata field Name not found
- lowLow. Minor, or common in normal tools. Shown for information.idna@3.9.0: 1 known vulnerabilityPYSEC-2026-215
requirements-dev.txt - lowLow. Minor, or common in normal tools. Shown for information.langgraph@1.2.12: 1 known vulnerabilityGHSA-3fx2-cqw9-xr3c
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
During install
files.pythonhosted.orgpypi.org
While running
Not run — the code wasn't started in this scan
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