Is pandas healthy, maintained, and safe?
Yes — pandas looks healthy, actively maintained, and free of known advisories today.
The verdict
On the OSPulse health scale, pandas lands at 92/100 — minimal risk, computed deterministically from live PyPI release history, and the OSV vulnerability database. Yes — pandas looks healthy, actively maintained, and free of known advisories today.
Its most recent release shipped on 22 July 2026 — 4 days ago — so development is clearly active. Across 116 releases the cadence has been steady, which is a good sign of an ongoing maintenance rhythm. PyPI doesn't expose a reliable maintainer count, so bus-factor isn't scored here — treat maintenance depth as unknown rather than assumed.
OSV lists 1 known advisory for pandas, of assorted severity. Review whether your version is in the affected range and whether a fixed release is available before depending on it. Each advisory is listed with its OSV/GHSA identifier below.
The signals are green today, but a clean snapshot is not a standing guarantee — packages drift. This is a one-time snapshot of a single package — real projects depend on dozens or hundreds of packages, and any one of them can drift or be compromised between releases. Run your own requirements.txt through the free health check, or have OSPulse monitor your whole dependency tree continuously.
Evidence trail — deterministic, auditable
Known vulnerabilities (1)
** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties
Key facts
- Latest version
- v3.0.5
- Last release
- 22 July 2026 (4 days ago)
- Total releases
- 116
- First release
- 25 December 2009
- Package age
- 16.6 years
- Maintainers
- not exposed by PyPI
- Known advisories
- 1
- Confidence
- High
Frequently asked
Is pandas still maintained?
Yes — pandas released as recently as 22 July 2026 (4 days ago), so it is actively maintained.
Does pandas have known security vulnerabilities?
Yes — OSV lists 1 advisory for pandas. See the advisory list on this page for the OSV/GHSA identifiers.
Is pandas safe to use?
Yes — pandas looks healthy, actively maintained, and free of known advisories today. OSPulse rates it 92/100 (minimal risk) based on release recency, cadence and known vulnerabilities.
Other PyPI packages we've checked
pandas is one package. What about the other hundreds in your tree?
Paste your own requirements.txt into the free health check for an instant snapshot — or let OSPulse monitor your whole dependency tree continuously, before your CVE scanner wakes up.
Data from the PyPI registry & OSV.dev · snapshot generated 2026-07-27 · scores are deterministic and recomputed on each refresh.