Source: https://seerepo.com/compare/data-privacy-stack/presidio/vs/mlflow/mlflow
Markdown source: https://seerepo.com/compare/data-privacy-stack/presidio/vs/mlflow/mlflow.md
Description: presidio and mlflow share 6 technologies: Flask, matplotlib, cryptography, spaCy, pillow, and Pydantic. Both are written in Python.

# presidio vs mlflow

presidio and mlflow share 6 technologies: Flask, matplotlib, cryptography, spaCy, pillow, and Pydantic. Both are written in Python.

- [data-privacy-stack/presidio](https://seerepo.com/r/data-privacy-stack/presidio): An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
- [mlflow/mlflow](https://seerepo.com/r/mlflow/mlflow): The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

## What they share and what sets them apart

- In common: Flask, matplotlib, cryptography, spaCy, pillow, Pydantic
- Only in presidio: presidio-analyzer, presidio-anonymizer, azure-ai-formrecognizer, opencv-python, pypng, pydicom, pytesseract
- Only in mlflow: FastAPI, uvicorn, azure-storage-blob, azure-storage-file-datalake, org.apache.spark:spark-catalyst_2.12, huey, pyarrow, Google, OpenAI, Anthropic, Claude, Mistral AI, jetty-server, jetty-servlet, jetty-util, pyspark, starlette, AIOHTTP, graphene, anyio, flask-cors, Lightning, React, React Router, react-router-dom, ipywidgets, kaleido, Plotly, SQLAlchemy, alembic, azure-identity, accelerate, ag2, Haystack, onnxscript, PaddlePaddle, rouge-score, scikit-learn, sentencepiece, strands-agents, tensorflow-cpu, torchvision, litellm, TensorFlow, torch, transformers, Keras, llama-index, LangChain, agno, deepeval, langchain-community, langchain-openai, shap, xgboost, datasets, groq, lightgbm, onnxruntime, Optuna, autogen-agentchat, evaluate, gepa, instructor, librosa, nltk, ONNX, prophet, sentence-transformers, skops, tf2onnx, tiktoken, typesafe-sdk, jinja2, flask-wtf, Gunicorn, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, slf4j-jdk14, slf4j-simple, waitress, docker, org.slf4j:slf4j-api, psutil, @kubernetes/client-node, @clack/prompts, openclaw, @opencode-ai/plugin, @typesafe-ai/sdk, emotion, classnames, TanStack, React Hook Form, a2ui, recharts, react-error-boundary, react-resizable, react-plotly.js, react-virtualized, react-dnd, react-syntax-highlighter, xyflow, dnd-kit, react-dnd-html5-backend, d3-scale, Leaflet, monaco-editor, react-draggable, wavesurfer.js, Font Awesome, js-yaml, sanitize-html, dompurify, papaparse, pdfjs-dist, react-pdf, showdown, Zod

## Side by side

| | presidio | mlflow |
|---|---|---|
| Size | 72,277 lines written, 245 code files | 1,556,347 lines written, 3,645 code files |
| Who writes it | 5.2% of its commits signed by AI. With GitHub Copilot, Claude Code, and Cursor | 23.7% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 11, 2026, 1,473 commits, 11,840 stars | Last push November 8, 2026, 14,394 commits, 28,722 stars |
| Tests | 225 test files. 6.5% of its code files have a test that imports them | 2,376 test files. 58.9% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, presidio or mlflow?

mlflow, with 1,556,347 lines written; presidio has 72,277.

The proof: [mlflow/mlflow's code at commit 882c427](https://github.com/mlflow/mlflow/tree/882c427aeaa180b4c8585e581fb1137b16f43c78)

### Which has more GitHub stars, presidio or mlflow?

mlflow, with 28,722 stars; presidio has 11,840.

The proof: [mlflow/mlflow on GitHub](https://github.com/mlflow/mlflow)

### Which has more tests, presidio or mlflow?

mlflow, with 2,376 test files; presidio has 225.

The proof: [mlflow/mlflow's code at commit 882c427](https://github.com/mlflow/mlflow/tree/882c427aeaa180b4c8585e581fb1137b16f43c78)

### Which was updated more recently, presidio or mlflow?

presidio: its last push was on November 11, 2026, and mlflow's on November 8, 2026.

The proof: [data-privacy-stack/presidio's commits on GitHub](https://github.com/data-privacy-stack/presidio/commits)

### Which has more commits signed by AI, presidio or mlflow?

mlflow: an AI signed 23.7% of its commits, with Claude Code, GitHub Copilot, Codex, and Cursor; in presidio, 5.2%.

The proof: [the commits each tool signed in mlflow/mlflow](https://seerepo.com/r/mlflow/mlflow/ai)

## Sources

- data-privacy-stack/presidio: Read on November 12, 2026, at commit 1d70059 (https://github.com/data-privacy-stack/presidio/tree/1d7005932261a4b676e045d16fa2965dbc4b4ba2)
- mlflow/mlflow: Read on November 8, 2026, at commit 882c427 (https://github.com/mlflow/mlflow/tree/882c427aeaa180b4c8585e581fb1137b16f43c78)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.