Data Labelling












Data Exploration and Visualization


Model Training



















Model Debbugging and Visualization




Model Tuning and HPO

Experiment Tracking


Model Packaging



Model Serving




Workflow Orchestration









Model Registry

Model Monitoring












Depending on use case. Neptune does not claim to contain all the functionality of all the tools listed. If you feel there are inaccurate statements in this comparison or a tool missing, please send an email to marketing@neptune.ai
Compare MLOps Tools
Choose the best tool for various task in the ML lifecycle.
Today, this is limited to Neptune-related comparisons. We are working on it.
Machine Learning Tools Overview
What is ‘MLOps Tools Landscape’ about?
Building, deploying, and managing ML models reliably is hard.
Every ML team that does that well has good tooling in place.
Some build it, some buy it, but most build and buy.
But there are so many different problems in MLOps and so many tools at each stage of the ML lifecycle. Which MLOps tools should you buy, and which should you customize or build?
With the ‘MLOps Tools Landscape’ project, we want to help you see what is out there, find alternatives, and compare tools with each other quickly.
We want to help you find the best tools for your use case.
MLOPS Applications Categories
- Building POC application
- Code Versioning
- Data Exploration and Visualization
- Data Labelling
- Data Versioning
- Development IDE
- Experiment Tracking
- Feature Engineering
- Feature Store
- Model Debbugging and Visualization
- Model Monitoring
- Model Packaging
- Model Registry
- Model Serving
- Model Training
- Model Tuning and HPO
- Workflow Orchestration
Building POC application

Jupyter
Jupyter offers open-source software for interactive computation across multiple languages such as Python, R, and Julia. Jupyter provides notebooks that one can write live code and share. You can use Jupyter notebook to write code, perform statistical modeling, data visualization, and machine learning. The software can be installed on your local computer or even tried online.
Code Versioning

GitHub
GitHub provides internet hosting for software and version control using Git. A majority of free and open-source programs are hosted on this platform. However, GitHub also provides private repositories. GitHub also offers an enterprise version for organizations that has more advanced features compared to the free version.
Data Exploration and Visualization

Jupyter
Jupyter offers open-source software for interactive computation across multiple languages such as Python, R, and Julia. Jupyter provides notebooks that one can write live code and share. You can use Jupyter notebook to write code, perform statistical modeling, data visualization, and machine learning. The software can be installed on your local computer or even tried online.
Data Labelling
Data Versioning

Neptune
Neptune is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process – exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
Development IDE

Jupyter
Jupyter offers open-source software for interactive computation across multiple languages such as Python, R, and Julia. Jupyter provides notebooks that one can write live code and share. You can use Jupyter notebook to write code, perform statistical modeling, data visualization, and machine learning. The software can be installed on your local computer or even tried online.

Pycharm
PyCharm is an integrated development environment for Python. It provides tools aimed at making development with Python easier. For instance, offering code completion and debugging. Jetbrains, the company behind PyCharm, offers the software for free via a community and education version. It also offers a premium version targeted toward professional developers.
Experiment Tracking

Neptune
Neptune is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process – exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
Feature Engineering
Feature Store
Model Debbugging and Visualization
Model Monitoring
Model Packaging
Model Registry

Neptune
Neptune is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process – exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
Model Serving
Model Training

TensorFlow/Keras
TensorFlow is an open-source machine learning library that supports multiple programming languages including Python and Javascript. TensorFlow provides various tools for building and bringing deep learning models to production. The library became more popular in its second version(TensorFlow 2.x) because of integrating Keras as its high-level API. Keras is an open-source library that provides a simple to use Python interface for neural networks.
Model Tuning and HPO
Workflow Orchestration
Authors MLops Tools Landscape

Paweł Kijko
A big fan of Internet Marketing who enjoys Automation Tools. His mission is to help small and medium-sized companies manage and advertise their businesses using the best (and fancy) methods.
Prince Canuma
ML/DL Developer Advocate at neptune.aiI want to help people through technology. And because of this purpose, I enjoy applying my technical and analytical skills to solve challenging problems and sharing the little knowledge and experience that I have with you, my reader.

Kamil Kaczmarek
AI researcher advocate, working in the MLOps domain. Always looking for the new ML tools, process automation tricks and intriguing ML papers. Occasionally a blog posts writer and conference speaker.
Jakub Czakon
Mostly an ML person. Building MLOps tools, writing technical stuff, experimenting with ideas at Neptune.