mlflow
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
26 of 838 committers (3.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.5%) to scientific vocabulary
Keywords
Keywords from Contributors
Scientific Fields
Repository
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Basic Info
- Host: GitHub
- Owner: mlflow
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://mlflow.org
- Size: 855 MB
Statistics
- Stars: 21,833
- Watchers: 315
- Forks: 4,784
- Open Issues: 1,974
- Releases: 0
Topics
Metadata Files
README.md
The Open Source AI Engineering Platform for Agents, LLMs & Models
MLflow is the largest 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. With over 60 million monthly downloads, thousands of organizations rely on MLflow each day to ship AI to production with confidence.
MLflow's comprehensive feature set for agents and LLM applications includes production-grade observability, evaluation, prompt management, prompt optimization and an AI Gateway for managing costs and model access. Learn more at MLflow for LLMs and Agents.
Get Started in 3 Simple Steps
From zero to full-stack LLMOps in minutes. No complex setup or major code changes required. Get Started
Fastest start set up tracing with our CLI
bash uvx mlflow@latest agent setupOne command installs the MLflow skills and launches your coding agent of choice to add tracing to your app. Prefer to wire it up yourself? Follow the three steps below.
1. Start MLflow Server
bash
uvx mlflow server
2. Enable Logging
```python import mlflow
mlflow.settrackinguri("http://localhost:5000") mlflow.openai.autolog() ```
3. Run Your Code
```python from openai import OpenAI
client = OpenAI() client.responses.create( model="gpt-5.4-mini", input="Hello!", ) ```
Explore traces and metrics in the MLflow UI at http://localhost:5000.
LLMs & Agents
MLflow provides everything you need to build, debug, evaluate, and deploy production-quality LLM applications and AI agents. Supports Python, TypeScript/JavaScript, Java and any other programming language. MLflow also natively integrates with OpenTelemetry and MCP.
Observability Capture complete traces of your LLM applications and agents for deep behavioral insights. Built on OpenTelemetry, supporting any LLM provider and agent framework. Monitor production quality, costs, and safety. Getting Started Try Demo |
Evaluation Run systematic evaluations, track quality metrics over time, and catch regressions before they reach production. Choose from 50+ built-in metrics and LLM judges, or define your own. Getting Started Try Demo |
Prompts & Optimization Version, test, and deploy prompts with full lineage tracking. Automatically optimize prompts with state-of-the-art algorithms to improve performance. Getting Started Try Demo |
AI Gateway Unified API gateway for all LLM providers. Route requests, manage rate limits, handle fallbacks, and control costs through an OpenAI-compatible interface with built-in credential management, guardrails and traffic splitting for A/B testing. Getting Started |
Model Training
For machine learning and deep learning model development, MLflow provides a full suite of tools to manage the ML lifecycle:
- Experiment Tracking Track models, parameters, metrics, and evaluation results across experiments
- Model Evaluation Automated evaluation tools integrated with experiment tracking
- Model Registry Collaboratively manage the full lifecycle of ML models
- Deployment Deploy models to batch and real-time scoring on Docker, Kubernetes, Azure ML, AWS SageMaker, and more
Learn more at MLflow for Model Training.
Integrations
MLflow supports all agent frameworks, LLM providers, tools, and programming languages. We offer one-line automatic tracing for more than 60 frameworks. See the full integrations list.
OpenTelemetry
OpenTelemetry |
Agent Frameworks (Python)
Agent Frameworks (TypeScript)
LangChain |
LangGraph |
Vercel AI SDK |
Mastra |
VoltAgent |
Agent Frameworks (Java)
Spring AI |
Quarkus LangChain4j |
Model Providers
OpenAI |
Anthropic |
Databricks |
Gemini |
Amazon Bedrock |
LiteLLM |
Mistral |
xAI / Grok |
Ollama |
Groq |
DeepSeek |
Qwen |
Moonshot AI |
Cohere |
BytePlus |
Novita AI |
FireworksAI |
Together AI |
Gateways
Databricks |
LiteLLM Proxy |
Vercel AI Gateway |
OpenRouter |
Portkey |
Helicone |
Kong AI Gateway |
PydanticAI Gateway |
TrueFoundry |
Tools & No-Code
Instructor |
Claude Code |
Opencode |
Langfuse |
Arize / Phoenix |
Goose |
Langflow |
Hosting MLflow
MLflow can be used in a variety of environments, including your local environment, on-premises clusters, cloud platforms, and managed services. Being an open-source platform, MLflow is vendor-neutral whether you're building AI agents, LLM applications, or ML models, you have access to MLflow's core capabilities.
Databricks |
Amazon SageMaker |
Azure ML |
Nebius |
Self-Hosted |
Support
- For help or questions about MLflow usage (e.g. "how do I do X?") visit the documentation.
- In the documentation, you can ask the question to our AI-powered chat bot. Click on the "Ask AI" button at the right bottom.
- Join the virtual events like office hours and meetups.
- To report a bug, file a documentation issue, or submit a feature request, please open a GitHub issue.
- For release announcements and other discussions, please subscribe to our mailing list (mlflow-users@googlegroups.com) or join us on Slack.
Contributing
We happily welcome contributions to MLflow!
- Submit bug reports and feature requests
- Contribute for good-first-issues and help-wanted
- Writing about MLflow and sharing your experience
Please see our contribution guide to learn more about contributing to MLflow.
Star History
Citation
If you use MLflow in your research, please cite it using the "Cite this repository" button at the top of the GitHub repository page, which will provide you with citation formats including APA and BibTeX.
Core Members
MLflow is currently maintained by the following core members with significant contributions from hundreds of exceptionally talented community members.
Owner
- Name: MLflow
- Login: mlflow
- Kind: organization
- Website: https://www.mlflow.org
- Repositories: 12
- Profile: https://github.com/mlflow
Open source platform for the machine learning lifecycle
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Harutaka Kawamura | h****0@g****m | 2,111 |
| dbczumar | 3****r | 423 |
| Yuki Watanabe | 3****2 | 381 |
| Serena Ruan | 8****n | 318 |
| Ben Wilson | 3****2 | 292 |
| Siddharth Murching | s****g@d****m | 272 |
| mlflow-automation | 6****n | 261 |
| WeichenXu | w****u@d****m | 254 |
| Daniel Lok | d****k@d****m | 195 |
| Sunish Sheth | s****9@g****m | 134 |
| Aaron Davidson | a****n@d****m | 128 |
| Prithvi Kannan | 4****n | 106 |
| TomuHirata | t****a@g****m | 96 |
| Chen Qian | c****y@g****m | 90 |
| tomasatdatabricks | 3****s | 90 |
| Mani Parkhe | m****i@d****m | 89 |
| Jerry Liang | 6****b | 68 |
| Ann Zhang | a****g@d****m | 62 |
| apurva-koti | 5****i | 61 |
| Sue Ann Hong | s****n@d****m | 48 |
| Liang Zhang | l****g@d****m | 47 |
| Andrew Chen | a****n@b****u | 44 |
| juntai-zheng | 3****g | 44 |
| Stephanie Bodoff | s****f@d****m | 44 |
| Matei Zaharia | m****z | 37 |
| Gabriel Fu | h****l@g****m | 37 |
| Ankit Mathur | 5****b | 32 |
| Michael Berk | m****9@g****m | 30 |
| Bryan Qiu | 5****u | 30 |
| dmatrix | d****x@c****t | 29 |
| and 808 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1,881
- Total pull requests: 9,620
- Average time to close issues: 7 months
- Average time to close pull requests: 8 days
- Total issue authors: 1,222
- Total pull request authors: 524
- Average comments per issue: 3.43
- Average comments per pull request: 1.66
- Merged pull requests: 6,781
- Bot issues: 0
- Bot pull requests: 166
Past Year
- Issues: 705
- Pull requests: 5,164
- Average time to close issues: 6 days
- Average time to close pull requests: 3 days
- Issue authors: 426
- Pull request authors: 237
- Average comments per issue: 1.22
- Average comments per pull request: 1.53
- Merged pull requests: 3,527
- Bot issues: 0
- Bot pull requests: 152
Top Authors
Issue Authors
- harupy (198)
- BenWilson2 (22)
- chenmoneygithub (22)
- B-Step62 (19)
- kimminw00 (18)
- danilopeixoto (13)
- amesar (12)
- ai-learner-00 (11)
- mazer-ai (11)
- dannikay (10)
- Gumichocopengin8 (10)
- dbczumar (8)
- Flametaa (8)
- harshilprajapati96 (7)
- smurching (7)
Pull Request Authors
- harupy (2,459)
- B-Step62 (1,172)
- serena-ruan (765)
- daniellok-db (556)
- WeichenXu123 (385)
- mlflow-automation (365)
- BenWilson2 (327)
- TomeHirata (268)
- prithvikannan (182)
- dbczumar (170)
- mlflow-app[bot] (152)
- Copilot (142)
- chenmoneygithub (130)
- sunishsheth2009 (129)
- annzhang-db (115)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 69
-
Total downloads:
- npm 64,084 last-month
- pypi 96,377,911 last-month
- cran 7,888 last-month
- conda 25,157 total
- Total docker downloads: 31,596,285
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Total dependent packages: 426
(may contain duplicates) -
Total dependent repositories: 5,272
(may contain duplicates) - Total versions: 1,468
- Total maintainers: 29
- Total advisories: 74
pypi.org: mlflow
MLflow is an open source platform for the complete machine learning lifecycle
- Documentation: https://mlflow.readthedocs.io/
- License: Apache Software License
-
Latest release: 3.14.0
published 25 days ago
Rankings
Maintainers (13)
Advisories (74)
- MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks
- MLflow: Improper Origin Validation in MLflow Assistant /ajax-api Endpoints Enables Browser-Mediated Local Command Execution
- MLFlow Creates a Temporary File With Insecure Permissions
- MLflow: unauthenticated access to certain FastAPI routes
- MLflow allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem
- MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability
- MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface
- MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint
- mlflow: FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization
- Mlflow: Command Injection when serving models with enable_mlserver=True
- ...and 64 more
pypi.org: mlflow-skinny
MLflow is an open source platform for the complete machine learning lifecycle
- Documentation: https://mlflow-skinny.readthedocs.io/
- License: Apache Software License
-
Latest release: 3.14.0
published 25 days ago
Rankings
Maintainers (8)
conda-forge.org: mlflow
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 2.0.1
published over 3 years ago
Rankings
repo1.maven.org: org.mlflow:mlflow-client
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-client/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 3.10.1
published 4 months ago
Rankings
proxy.golang.org: github.com/mlflow/mlflow
- Documentation: https://pkg.go.dev/github.com/mlflow/mlflow#section-documentation
- License: apache-2.0
-
Latest release: v2.18.0+incompatible
published over 1 year ago
Rankings
cran.r-project.org: mlflow
Interface to 'MLflow'
- Homepage: https://github.com/mlflow/mlflow
- Documentation: http://cran.r-project.org/web/packages/mlflow/mlflow.pdf
- License: Apache License 2.0
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Latest release: 3.10.1
published 4 months ago
Rankings
Maintainers (1)
pypi.org: mlflow-devlibx
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
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Latest release: 1.22.8
published over 4 years ago
Rankings
Maintainers (1)
pypi.org: mlflow-tmp
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
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Latest release: 2.2.26
published about 3 years ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/codex
Codex CLI integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
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Latest release: 0.3.0-rc.0
published about 1 month ago
Rankings
Maintainers (1)
npmjs.org: mlflow-tracing
TypeScript implementation of MLflow Tracing SDK for LLM observability
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
pypi.org: mlflow-tracing
MLflow Tracing SDK is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality to instrument your code/models/agents with MLflow Tracing.
- Documentation: https://mlflow-tracing.readthedocs.io/
- License: Apache Software License
-
Latest release: 3.13.0
published about 1 month ago
Rankings
Maintainers (1)
repo1.maven.org: org.mlflow:mlflow-scoring
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-scoring/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 2.22.1
published about 1 year ago
Rankings
pypi.org: mlflow-stonewise
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
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Latest release: 1.30.1
published over 3 years ago
Rankings
Maintainers (1)
pypi.org: lmcmlflow
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
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Latest release: 1.17.1
published about 5 years ago
Rankings
Maintainers (1)
pypi.org: mlflow-by-johnsnowlabs
MLflow is an open source platform for the complete machine learning lifecycle
- Documentation: https://mlflow-by-johnsnowlabs.readthedocs.io/
- License: Apache Software License
-
Latest release: 2.40.0
published almost 3 years ago
Rankings
Maintainers (3)
pypi.org: mlflow-ste
MLflow: An ML Workflow Tool
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
-
Latest release: 1.10.1.dev0
published almost 6 years ago
Rankings
Maintainers (1)
repo1.maven.org: org.mlflow:mlflow-parent
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-parent/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 3.10.1
published 4 months ago
Rankings
repo1.maven.org: org.mlflow:mlflow-spark
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-spark/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 2.8.1
published over 2 years ago
Rankings
pypi.org: mlflow-by-ckl
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
-
Latest release: 2.81.0
published about 2 years ago
Rankings
Maintainers (2)
pypi.org: mlflow-by-johnsnowlabs-v2
MLflow: A Platform for ML Development and Productionization
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
-
Latest release: 2.44.0
published almost 3 years ago
Rankings
Maintainers (1)
anaconda.org: mlflow
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).
- Homepage: https://mlflow.org
- License: Apache-2.0
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Latest release: 3.12.0
published about 2 months ago
Rankings
pypi.org: qubole-ml
MLflow: An ML Workflow Tool
- Homepage: https://mlflow.org/
- Documentation: https://mlflow.org/docs/latest/index.html
- License: Apache License 2.0
-
Latest release: 1.9.1
published almost 6 years ago
Rankings
Maintainers (1)
conda-forge.org: mlflow-ui-dbg
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 2.0.1
published over 3 years ago
Rankings
conda-forge.org: mlflow-pipelines
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 1.30.0
published over 3 years ago
Rankings
conda-forge.org: mlflow-skinny
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 2.0.1
published over 3 years ago
Rankings
conda-forge.org: r-mlflow
- Homepage: https://github.com/mlflow/mlflow
- License: Apache-2.0
-
Latest release: 1.30.0
published over 3 years ago
Rankings
npmjs.org: @mlflow/anthropic
Anthropic integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0
published 4 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/claude-code
Claude Code and Claude Agent SDK integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0
published about 2 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/mlflow-openclaw
OpenClaw integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0-rc.0
published 2 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/qwen-code
Qwen Code integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0-rc.0
published 2 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/vercel
Vercel AI SDK integration for MLflow Tracing — SpanProcessor that translates AI SDK span attributes to MLflow format
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0-rc.1
published 3 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/opencode
OpenCode integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0-rc.1
published 4 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/core
TypeScript implementation of MLflow Tracing SDK for LLM observability
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0
published 4 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/gemini
Gemini integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0
published 4 months ago
Rankings
Maintainers (1)
npmjs.org: @mlflow/openai
OpenAI integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.2.0
published 4 months ago
Rankings
Maintainers (1)
npmjs.org: @rollyjoely/mlflow-langchain
LangChain integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
npmjs.org: @rollyjoely/mlflow-anthropic
Anthropic integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
npmjs.org: @rollyjoely/mlflow-tracing
TypeScript implementation of MLflow Tracing SDK for LLM observability
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
pypi.org: mlflow-pri
MLflow is an open source platform for the complete machine learning lifecycle
- Documentation: https://mlflow-pri.readthedocs.io/
- License: Apache Software License
-
Latest release: 3.4.1.post10
published 7 months ago
Rankings
Maintainers (2)
npmjs.org: mlflow-anthropic
Anthropic integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
npmjs.org: mlflow-gemini
Gemini integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
npmjs.org: mlflow-vercel
Vercel AI SDK integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.1
published 8 months ago
Rankings
Maintainers (1)
anaconda.org: mlflow-skinny
MLflow Skinny is a lightweight MLflow package without SQL storage, server, UI, or data science dependencies.
- Homepage: https://mlflow.org
- License: Apache-2.0
-
Latest release: 3.12.0
published about 2 months ago
Rankings
npmjs.org: mlflow-openai
OpenAI integration package for MLflow Tracing
- Homepage: https://mlflow.org/
- License: Apache-2.0
-
Latest release: 0.1.3
published 5 months ago
Rankings
Maintainers (1)
pypi.org: mlflow-no-ssl
MLflow is an open source platform for the complete machine learning lifecycle
- Documentation: https://mlflow-no-ssl.readthedocs.io/
- License: Apache Software License
-
Latest release: 2.16.3
published almost 2 years ago
Rankings
Maintainers (1)
repo1.maven.org: org.mlflow:mlflow-spark_2.12
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-spark_2.12/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 3.11.1
published 3 months ago
Rankings
repo1.maven.org: org.mlflow:mlflow-spark_2.13
Open source platform for the machine learning lifecycle
- Homepage: http://mlflow.org
- Documentation: https://appdoc.app/artifact/org.mlflow/mlflow-spark_2.13/
- License: The Apache License, Version 2.0
- Status: removed
-
Latest release: 3.10.1
published 4 months ago
Rankings
nixpkgs-24.05: mlflow-server
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/mlflow/default.nix#L108
- License: Apache-2.0
-
Latest release: 2.12.2
published 5 months ago
Maintainers (1)
nixpkgs-23.11: python310Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/mlflow/default.nix#L109
- License: Apache-2.0
-
Latest release: 2.12.1
published 5 months ago
Maintainers (1)
nixpkgs-23.11: mlflow-server
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/mlflow/default.nix#L109
- License: Apache-2.0
-
Latest release: 2.12.1
published 5 months ago
Rankings
Maintainers (1)
nixpkgs-unstable: mlflow-server
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow/default.nix#L205
- License: Apache-2.0
-
Latest release: 3.8.1
published 4 months ago
Rankings
Maintainers (1)
nixpkgs-24.05: python311Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/mlflow/default.nix#L108
- License: Apache-2.0
-
Latest release: 2.12.2
published 5 months ago
Rankings
Maintainers (1)
nixpkgs-23.11: python311Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/mlflow/default.nix#L109
- License: Apache-2.0
-
Latest release: 2.12.1
published 5 months ago
Rankings
Maintainers (1)
nixpkgs-23.05: python310Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/mlflow/default.nix#L101
- License: Apache-2.0
-
Latest release: 2.3.2
published 6 months ago
Rankings
Maintainers (1)
nixpkgs-23.05: python311Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/mlflow/default.nix#L101
- License: Apache-2.0
-
Latest release: 2.3.2
published 6 months ago
Rankings
Maintainers (1)
nixpkgs-24.11: mlflow-server
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/mlflow/default.nix#L194
- License: Apache-2.0
-
Latest release: 2.17.2
published 5 months ago
Maintainers (1)
nixpkgs-24.11: python311Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/mlflow/default.nix#L194
- License: Apache-2.0
-
Latest release: 2.17.2
published 5 months ago
Rankings
Maintainers (1)
nixpkgs-unstable: python313Packages.mlflow-skinny
Lightweight version of MLflow that is designed to minimize package size
- Homepage: https://github.com/mlflow/mlflow/tree/master/libs/skinny
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow-skinny/default.nix#L70
- License: Apache-2.0
-
Latest release: 3.12.0
published about 2 months ago
Rankings
Maintainers (1)
artifacthub.io: ncsa/swagger
Swagger UI
- Homepage: https://swagger.io/
- Documentation: https://artifacthub.io/packages/helm/ncsa/swagger
- License: Unknown
-
Latest release: 1.0.1
published over 3 years ago
Rankings
nixpkgs-unstable: python314Packages.mlflow-skinny
Lightweight version of MLflow that is designed to minimize package size
- Homepage: https://github.com/mlflow/mlflow/tree/master/libs/skinny
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow-skinny/default.nix#L70
- License: Apache-2.0
-
Latest release: 3.12.0
published about 2 months ago
Rankings
Maintainers (1)
nixpkgs-unstable: python314Packages.mlflow-tracing
Open-Source SDK for observability and monitoring GenAI applications
- Homepage: https://github.com/mlflow/mlflow/tree/master/libs/tracing
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow-tracing/default.nix#L53
- License: Apache-2.0
-
Latest release: 3.12.0
published about 2 months ago
Rankings
Maintainers (1)
nixpkgs-unstable: python313Packages.mlflow-tracing
Open-Source SDK for observability and monitoring GenAI applications
- Homepage: https://github.com/mlflow/mlflow/tree/master/libs/tracing
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow-tracing/default.nix#L53
- License: Apache-2.0
-
Latest release: 3.12.0
published about 2 months ago
Rankings
Maintainers (1)
nixpkgs-unstable: python314Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow/default.nix#L205
- License: Apache-2.0
-
Latest release: 3.8.1
published 4 months ago
nixpkgs-23.05: mlflow-server
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/mlflow/default.nix#L101
- License: Apache-2.0
-
Latest release: 2.3.2
published 6 months ago
Rankings
Maintainers (1)
nixpkgs-24.11: python312Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/mlflow/default.nix#L194
- License: Apache-2.0
-
Latest release: 2.17.2
published 5 months ago
Rankings
Maintainers (1)
nixpkgs-24.05: python312Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/mlflow/default.nix#L108
- License: Apache-2.0
-
Latest release: 2.12.2
published 5 months ago
Rankings
Maintainers (1)
artifacthub.io: geek-cookbook/mlflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle
- Homepage: https://github.com/geek-cookbook/charts/tree/master/charts/stable/mlflow
- Documentation: https://artifacthub.io/packages/helm/geek-cookbook/mlflow
- License: Unknown
-
Latest release: 0.0.1
published over 3 years ago
Rankings
artifacthub.io: ncsa/mlflow
An open source platform for the machine learning lifecycle
- Homepage: https://mlflow.org/
- Documentation: https://artifacthub.io/packages/helm/ncsa/mlflow
- License: Unknown
-
Latest release: 1.2.1
published about 3 years ago
Rankings
nixpkgs-unstable: python313Packages.mlflow
Open source platform for the machine learning lifecycle
- Homepage: https://github.com/mlflow/mlflow
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/mlflow/default.nix#L205
- License: Apache-2.0
-
Latest release: 3.8.1
published 4 months ago