APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product. Learn more →
Top 23 Python ML Projects
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30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
A free, beginner‑friendly programming challenge on GitHub, 30 Days of Python breaks down the process of learning Python into daily lessons and exercises that guide you step by step from the basics to more advanced concepts.
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Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Project mention: Teaching AI to Read Emotions: Science, Challenges, and Innovation Behind Facial Emotion Detection with YOLOv11 on Raspberry Pi | dev.to | 2025-11-23Ultralytics YOLO Documentation
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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.
Project mention: MLflow CVE-2026-64849: Cloud Credential Theft via Webhook SSRF | dev.to | 2026-08-20Original Source: MLflow Security Advisory / CISA
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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
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Project mention: Semantic Observability: Engineering Reliability for Production RAG | dev.to | 2026-07-01
Injecting these into standard logs is a recipe for storage-cost disasters and PII leaks. Instead, we use OpenLLMetry, an open-source extension of OTel that introduces semantic conventions for AI. It auto-instruments calls to providers like OpenAI or Anthropic, capturing the input and output as attributes within a span.
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Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Project mention: Kiln – a free app and open-source library to build better AI products | news.ycombinator.com | 2026-05-12 -
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deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
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Project mention: Launch HN: Plexe (YC X25) – Build production-grade ML models from prompts | news.ycombinator.com | 2025-11-04
- Deploys the best model with monitoring and automatic retraining
We did a Show HN for our open-source library five months ago (https://news.ycombinator.com/item?id=43906346). Since then, we've launched our commercial platform with interactive refinement, production-grade model evaluations, retraining pipeline, data connectors, analytics dashboards, and deployment for online and batch inference.
We use a multi-agent architecture where specialized agents handle different pipeline stages. Each agent focuses on its domain: data analysis, feature engineering, model selection, deployment, and so on. The platform tracks all experiments and generates exportable Python code.
Our open-source core (https://github.com/plexe-ai/plexe, Apache 2.0) remains free for local development. For the paid product, our pricing is usage-based, with a minimum top up of $10. Enterprises can self-host the entire platform. You can sign up on https://console.plexe.ai. Use promo code `LAUNCHDAY20` to get $20 to try out the platform.
We’d love to hear your thoughts on the problem and feedback on the platform!
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RasaGPT
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python ML discussion
Python ML related posts
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RAG Is Simpler Than You Think
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MLflow CVE-2026-64849: Cloud Credential Theft via Webhook SSRF
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Inferena: Local benchmark of PyTorch vs. Llama.cpp vs. Rust frameworks
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Show HN: RBF-Attention – Trading dot-products for Euclidean distance
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The Open Source AI Engineering Platform for Agents, LLMs and Models
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I Read Cursor's Security Agent Prompts, So You Don't Have To
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AWS Sagemaker Notebook Jobs for Accelerating Data Science Experimentation Workflows with Mlflow and Optuna
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A note from our sponsor - AppSignal
www.appsignal.com | 6 Sep 2026
Index
What are some of the best open-source ML projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | 30-Days-Of-Python | 72,956 |
| 2 | yolov5 | 57,972 |
| 3 | MLflow | 27,795 |
| 4 | best-of-ml-python | 23,742 |
| 5 | onnx | 21,409 |
| 6 | ludwig | 11,748 |
| 7 | metaflow | 10,255 |
| 8 | pycaret | 9,834 |
| 9 | openllmetry | 7,413 |
| 10 | feast | 7,251 |
| 11 | CoreML-Models | 7,015 |
| 12 | aim | 6,248 |
| 13 | zenml | 5,575 |
| 14 | superduper | 5,317 |
| 15 | awesome-mlops | 5,263 |
| 16 | Kiln | 5,046 |
| 17 | zvt | 4,289 |
| 18 | deepchecks | 4,051 |
| 19 | hub | 3,522 |
| 20 | plexe | 2,618 |
| 21 | RasaGPT | 2,463 |
| 22 | nannyml | 2,145 |
| 23 | ScaledYOLOv4 | 2,027 |
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