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Top 23 Python ML Projects
- Project mention: Teaching AI to Read Emotions: Science, Challenges, and Innovation Behind Facial Emotion Detection with YOLOv11 on Raspberry Pi | dev.to | 2025-11-23
Ultralytics YOLO Documentation
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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MLflow
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Project mention: "As Cloud-like as Possible" Data Science: Local MLOps with Docker Compose | dev.to | 2025-11-24Experiment management: MLflow tracks models, parameters, and results.
- Project mention: A ranked list of machine learning Python libraries. Updated weekly | news.ycombinator.com | 2025-01-31
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- Project mention: Metaflow: Build, Manage and Deploy AI/ML Systems | news.ycombinator.com | 2025-07-16
Stay tuned! We have some cool new features coming soon to support agentic workloads (teaser: https://github.com/Netflix/metaflow/pull/2473)
If you are curious, join the Metaflow Slack at http://slack.outerbounds.co and start a thread on #ask-metaflow
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For monitoring, there are separate full-fledged monitoring solutions like Opik, PostHog, Langfuse or OpenLLMetry, maybe will try some next time.
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
- Project mention: Transforming Your PDFs for RAG with Open Source Using Docling, Milvus, and Feast | news.ycombinator.com | 2025-04-22
Hey folks!
I recently gave a talk with the Milvus Community showing a demo of how to transform PDFs with Feast using Docling for RAG.
The tutorial is available here: https://github.com/feast-dev/feast/tree/master/examples/rag-...
And the video is available here: https://www.youtube.com/watch?v=DPPtr9Q6_qE
The goal with having a feature store transform and retrieve your data for RAG is that (1) we make it easy to configure vector retrieval with just a boolean in the code declaration and (2) you can use existing tooling that data scientists / ml engineers are already familiar with.
I'd love any feedback or ideas on how we could make things better or easier. The Feast maintainers have quite a lot in the pipeline (batch transformations, support for Ray, computer vision and more).
Thanks a ton!
- Project mention: Aim: Supercharged open-source experiment tracker | news.ycombinator.com | 2025-03-31
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Seamless integration: Works with OCI-compliant registries (e.g., Docker Hub and Jozu Hub) and integrates with popular tools like HuggingFace, ZenML, and Git.
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- Project mention: DeepFabric – Generate High-Quality Synthetic Datasets at Scale | news.ycombinator.com | 2025-09-26
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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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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
- 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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Photonix
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
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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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Launch HN: Plexe (YC X25) – Build production-grade ML models from prompts
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DevOps, MLOps, or Platform Engineering, In 2025, who will own the pipeline?
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Personal Picks: Data Product News (June 11, 2025)
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Show HN: System Prompt Learning – LLMs Learn Problem-Solving from Experience
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A machine learning library
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Show HN: Note now supports finding the best optimizer
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Show HN: Video processing pipeline for LLM – Python
- A note from our sponsor - InfluxDB www.influxdata.com | 22 Dec 2025
Index
What are some of the best open-source ML projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | yolov5 | 56,405 |
| 2 | MLflow | 23,403 |
| 3 | best-of-ml-python | 22,954 |
| 4 | ludwig | 11,636 |
| 5 | metaflow | 9,675 |
| 6 | CoreML-Models | 6,890 |
| 7 | openllmetry | 6,700 |
| 8 | feast | 6,548 |
| 9 | aim | 5,921 |
| 10 | superduper | 5,235 |
| 11 | zenml | 5,104 |
| 12 | awesome-mlops | 4,908 |
| 13 | Kiln | 4,485 |
| 14 | deepchecks | 3,955 |
| 15 | zvt | 3,874 |
| 16 | polyaxon | 3,688 |
| 17 | hub | 3,523 |
| 18 | RasaGPT | 2,447 |
| 19 | plexe | 2,284 |
| 20 | nannyml | 2,119 |
| 21 | ScaledYOLOv4 | 2,031 |
| 22 | Photonix | 1,927 |
| 23 | GPflow | 1,895 |
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InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com