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Top 23 Python Mlops Projects
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Project mention: Speculative decoding: when and why it actually speeds up inference | dev.to | 2026-06-04
Here's a real, runnable config that uses EAGLE for offline batched generation. It's straight from the vLLM repo's eagle.md example:
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For senior engineers building custom job data visualization pipelines, the single biggest latency gain comes from pre-aggregating frequently accessed metrics instead of running joins at query time. In our benchmarks, querying raw job_postings tables with 1M rows took 210ms average, while pre-aggregated tables (updated hourly via PostgreSQL materialized views) reduced query time to 12ms. Use tools like Apache Airflow 2.7.3 to schedule materialized view refreshes during off-peak hours. For example, a materialized view for average salary by company can be defined as:
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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.
For example, this can be done using MLflow in Python:
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For kernel-level performance tuning you can use the occupancy calculator as pointed out by jplusqualt or you can profile your kernel with Nsight compute which will give you a ton of info.
But for model-wide performance, you basically have to come up with your own calculation to estimate the FLOPs required by your model and based on that figure out how well your model is maxing out the GPU capabilities (MFU/HFU).
Here is a more in-depth example on how you might do this: https://github.com/stas00/ml-engineering/tree/master/trainin...
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Microsoft's agent-lightning project offers a comprehensive toolkit aimed at accelerating the process of building, testing, and deploying AI Agents. This open-source initiative highlights the industry's commitment to enabling faster development and implementation of advanced AI capabilities, providing developers with robust resources to streamline AI agent creation.
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I used Dagster, which integrates with dbt nicely (see the point above about how it automagically pulls in documentation). It understands the models and dependencies, and orchestrates everything nicely. It tracks executions and shows you runtimes.
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OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Project mention: Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers | dev.to | 2025-08-06REST APIs to connect AI models to Vue.js apps (example 1, example 2).
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Project mention: validatelite VS great_expectations - a user suggested alternative | libhunt.com/r/validatelite | 2025-08-08
Great Expectations is a popular open-source data validation framework with rich features and integrations, but it has a steeper learning curve and heavier setup. ValidateLite offers a lightweight, zero-config CLI alternative for quick checks and automation.
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wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Project mention: The $100 ChatGPT: Why Karpathy's nanochat Represnts the Next Big Thing | dev.to | 2026-05-04Each stage is comprehensible. Each stage is hackable. You can literally watch it get smarter in real-time through the wandb plots.
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Kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Project mention: Don't Know These 6 Tools? No Wonder Your Python Development Is So Slow | dev.to | 2025-07-10👉 https://kedro.org/
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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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BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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agent-starter-pack
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
Project mention: Building "Sweets Vault" - a multimodal Gemini Agent with physical hardware integration | dev.to | 2026-05-15To kick-start the agent development, I leveraged the agent-starter-pack templates. It provides a production-ready foundation with FastAPI, frontend UI integration, and built-in observability.
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courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI) (by SkalskiP)
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Giskard is like unit testing but for AI models. It helps you identify and fix issues like bias, hallucinations, or incorrect outputs before your AI reaches users. This tool is essential for quality control in production AI applications.
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lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Python Mlops discussion
Python Mlops related posts
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Speculative decoding: when and why it actually speeds up inference
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Inside vLLM's CPU backend: a new contributor's notes
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We Upgraded Airflow 2.8 to 3.1 on Kubernetes. Here Is What Actually Changed
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RotorQuant: Faster Than TurboQuant
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Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership
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vLLM IR: A Functional Intermediate Representation for vLLM
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vLLM introduces memory optimizations for long-context inference
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A note from our sponsor - SaaSHub
www.saashub.com | 13 Jun 2026
Index
What are some of the best open-source Mlops projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | vllm | 82,489 |
| 2 | Airflow | 45,795 |
| 3 | MLflow | 26,420 |
| 4 | serve | 21,854 |
| 5 | Taipy | 19,237 |
| 6 | ml-engineering | 18,080 |
| 7 | agent-lightning | 17,301 |
| 8 | dagster | 15,661 |
| 9 | OpenLLM | 12,352 |
| 10 | great_expectations | 11,546 |
| 11 | wandb | 11,116 |
| 12 | Kedro | 10,885 |
| 13 | metaflow | 10,129 |
| 14 | BentoML | 8,672 |
| 15 | feast | 7,089 |
| 16 | clearml | 6,728 |
| 17 | agent-starter-pack | 6,465 |
| 18 | courses | 6,435 |
| 19 | aim | 6,153 |
| 20 | zenml | 5,440 |
| 21 | giskard-oss | 5,426 |
| 22 | superduper | 5,289 |
| 23 | lightning-hydra-template | 5,284 |