Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise. Learn more →
Top 23 Python llmops Projects
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litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Project mention: CISA Adds Seven Known Exploited Vulnerabilities to Catalog: AI Infrastructure, Python Web Frameworks, SonicWall, VoIP, and Artifactory | dev.to | 2026-09-03Related Sources: CISA KEV catalog, LiteLLM GHSA-7488-6r32-c95q, Starlette GHSA-86qp-5c8j-p5mr, Kestra GHSA-5vc5-wxxq-3fjx, Horizon3.ai Switchvox analysis, SonicWall SNWLID-2026-0016
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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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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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opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Project mention: AcruxCore alternatives - langfuse, phoenix-on-azure, phoenix, opik, and MLflow | libhunt.com/r/AcruxCore | 2026-08-14 -
SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
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Project mention: From 62% to 94% RAG Accuracy: The 5 Architecture Changes That Actually Moved the Needle | dev.to | 2026-04-26
Reference answers written by domain experts. Automated grading via RAGAS across four dimensions: faithfulness, answer relevance, context precision, context recall. Manual spot-check on the ~15% of answers that fell in scoring edge cases.
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OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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Project mention: AcruxCore alternatives - langfuse, phoenix-on-azure, phoenix, opik, and MLflow | libhunt.com/r/AcruxCore | 2026-08-14
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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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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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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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Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. (by MakazhanAlpamys)
Project mention: Show HN: Fine-tune an 8B model on a 4 GB laptop GPU | news.ycombinator.com | 2026-08-04There are some samples of training data in this folder - https://github.com/MakazhanAlpamys/Soup/tree/main/examples/d...
They're all very short though. Anyone got a good rule for how much data of this nature is needed to successfully fine-tune a model of this size?
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TruLens: Evaluating Agent Workflows
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AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
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burr
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Project mention: Apache Burr: Build reliable AI agents and applications | news.ycombinator.com | 2026-06-10Right -- possible it's slightly out of date https://github.com/apache/burr#-comparison-against-common-fr.... Good point on differentiating.
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uptrain
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
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LLMStack
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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intellagent
A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Your agent ignored a failed tool call. Here's how to catch that in CI.
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AcruxCore alternatives - langfuse, phoenix-on-azure, phoenix, opik, and MLflow
6 projects | 14 Aug 2026 -
A note from our sponsor - AppSignal
www.appsignal.com | 8 Sep 2026
Index
What are some of the best open-source llmops projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | litellm | 58,121 |
| 2 | MLflow | 27,795 |
| 3 | serve | 21,858 |
| 4 | opik | 21,797 |
| 5 | SuperAGI | 17,629 |
| 6 | ragas | 15,621 |
| 7 | OpenLLM | 12,524 |
| 8 | phoenix | 11,318 |
| 9 | metaflow | 10,255 |
| 10 | BentoML | 8,821 |
| 11 | openllmetry | 7,413 |
| 12 | agent-starter-pack | 6,552 |
| 13 | giskard-oss | 5,802 |
| 14 | zenml | 5,575 |
| 15 | superduper | 5,317 |
| 16 | Soup | 5,759 |
| 17 | lorax | 3,829 |
| 18 | trulens | 3,536 |
| 19 | AGiXT | 3,214 |
| 20 | burr | 2,539 |
| 21 | uptrain | 2,357 |
| 22 | LLMStack | 2,311 |
| 23 | intellagent | 1,257 |