Source: https://seerepo.com/compare/apache/tvm/vs/mlflow/mlflow
Markdown source: https://seerepo.com/compare/apache/tvm/vs/mlflow/mlflow.md
Description: tvm and mlflow share 3 technologies: Google, slf4j-simple, and org.slf4j:slf4j-api. Both are written in Python.

# tvm vs mlflow

tvm and mlflow share 3 technologies: Google, slf4j-simple, and org.slf4j:slf4j-api. Both are written in Python.

- [apache/tvm](https://seerepo.com/r/apache/tvm): Open Machine Learning Compiler Framework
- [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: Google, slf4j-simple, org.slf4j:slf4j-api
- Only in tvm: constraintlayout, androidx.appcompat:appcompat
- Only in mlflow: FastAPI, Flask, uvicorn, azure-storage-blob, azure-storage-file-datalake, org.apache.spark:spark-catalyst_2.12, huey, pyarrow, 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, matplotlib, Plotly, SQLAlchemy, alembic, azure-identity, cryptography, 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, spaCy, tf2onnx, tiktoken, typesafe-sdk, pillow, jinja2, Pydantic, flask-wtf, Gunicorn, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, slf4j-jdk14, waitress, docker, 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

| | tvm | mlflow |
|---|---|---|
| Size | 441,317 lines written, 693 code files | 1,556,347 lines written, 3,645 code files |
| Who writes it | 0.3% of its commits signed by AI. With Gemini CLI, Claude Code, GitHub Copilot, and Codex | 23.7% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 7, 2026, 14,587 commits, 13,893 stars | Last push November 8, 2026, 14,394 commits, 28,722 stars |
| Tests | 459 test files. 24.7% 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, tvm or mlflow?

mlflow, with 1,556,347 lines written; tvm has 441,317.

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

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

mlflow, with 28,722 stars; tvm has 13,893.

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

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

mlflow, with 2,376 test files; tvm has 459.

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

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

mlflow: its last push was on November 8, 2026, and tvm's on November 7, 2026.

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

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

mlflow: an AI signed 23.7% of its commits, with Claude Code, GitHub Copilot, Codex, and Cursor; in tvm, 0.3%.

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

## Sources

- apache/tvm: Read on November 9, 2026, at commit 1fa4b86 (https://github.com/apache/tvm/tree/1fa4b8627de240c59a2531bee7fb6a6f88981f59)
- 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.