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Agents tracked: 442 Downloads (7d): 202M down 19.3% GitHub stars: 10.4M Releases (7d): 693 Agent status: 1 with issuesSince last limit reset: Claude 28d · Codex 1d Updated Oct 21, 2026

PandasAI vs Pyod

PandasAI (Sinaptik AI) and Pyod (Yue Zhao) side by side on public data, as of Oct 21, 2026.

Pyod has 78.5x the weekly package downloads of PandasAI (690K against 8,784). PandasAI has 2.4x the GitHub stars of Pyod (23.9K against 10.1K). Pyod shipped 5 stable releases in the past 90 days.

Which should you choose?

Choose PandasAI if

  • you want to use your own model API key

Choose Pyod if

  • you prefer the more widely used tool, with more docs and answers around (Gid Score 49 against 32)

Built from documented features, official prices, status pages and usage data on this page; it does not judge output quality.

Side-by-side numbers

Metric PandasAIPyod
Gid Score3249
Usage data as ofOct 21Oct 21
Rank by Gid Score#141#44
Downloads, last 7 days8,784690K
Downloads, 7-day changeup 7.2%up 12.5%
Downloads, 30-day change—down 9.2%
VS Code installs——
Marketplace rating——
GitHub stars23.9K10.1K
Homebrew installs, 30 days——
Hacker News mentions, 30 days00
Latest stable release3.0.0 · 12mo ago3.6.7 · 9d ago
Stable releases, 90 days05
Terminal-Bench (best run)——
PriceFreeFree (OSS)
LicenseMITBSD-2-Clause
First releasedApril 2023October 2017
InterfacesSDK—
Models

Trends

Downloads per daynpm + PyPI, 7-day average
PandasAIPyod
GitHub starsrunning total
PandasAIPyod

PandasAI

A Python library that turns natural-language questions into Python and SQL, runs it against dataframes, databases and data lakes, and returns answers and charts.

Pricing: The open-source library is free (MIT, except an enterprise directory under its own licence); cloud and enterprise editions have no public prices.

Latest release 3.0.0:

  • Fix Azure OpenAI LLM backend
  • docs: add AWS Bedrock tutorial to the example
  • Added export const dynamic='force-dynamic';
  • Removed core property on SmartDataframe that causes maximum recursion depth exceeded

Full PandasAI profile

Pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Pricing: Open source under the BSD-2-Clause licence; check the website for any paid hosted plans.

Latest release 3.6.7:

  • ABOD: cast non-float numeric input (integer lists and DataFrames, bool, float16) to float64 before the Numba angle kernel, which previously raised a TypingError. Scores for float32 and float64…
  • XGBOD: keep estimatorlist and standardizationflaglist as given and store the resolved detectors in estimatorlist and standardizationflaglist, so getparams() and clone() round-trip. #767, fixes #755.
  • Sampling and KPCA: store randomstate as given and resolve it in fit, so repeated fits with an integer seed are reproducible. #753, fixes #750.
  • INNE: call BaseDetector.init, so an out-of-range contamination raises ValueError like every other detector. #759, fixes #752.

Full Pyod profile

PandasAI vs Pyod: common questions

How do PandasAI and Pyod prices compare?

PandasAI: Free. Pyod: Free (OSS). Prices come from each vendor's pricing page.

Which is more popular, PandasAI or Pyod?

Pyod has a Gid Score of 49 against 32 for PandasAI. The score combines package downloads, editor installs, GitHub activity and attention, updated daily.