Niftio
Niftio is an open-source platform for building and deploying machine learning models. It allows data scientists and developers to track datasets, experiments, models and deployments in one place. Key features include version control, collaboration, reproducibility and model monit
opensource
machinelearning
modeltracking
versioncontrol
collaboration
reproducibility
modelmonitoring
Niftio: Open-Source Machine Learning Platform
Build, deploy, and monitor machine learning models with Niftio, a free and open-source platform for data scientists and developers.
What is Niftio?
Niftio is an open-source machine learning platform designed to improve the workflow for building, deploying and monitoring machine learning models. It provides tools for data scientists and ML engineers to track datasets, code, experiments and models in a centralized place.
Some key capabilities and benefits of Niftio include:
- Version control for datasets, code and models - track changes over time
- Collaboration features - allow teams to work together on projects
- Reproducibility - log experiments with parameters to recreate results
- Model registry - catalog models with metadata and documentation
- Model monitoring - monitor performance of deployed models
- Model deployment - serve models via REST API or serverless functions
- Integrations - integrate with popular data science tools like Jupyter and MLflow
By providing these capabilities for the full machine learning lifecycle in one platform, Niftio aims to improve efficiency, collaboration and operationalization of ML. The open-source and extensible nature also allows customization for different team needs.
Niftio Features
Features
- Open-source platform for building and deploying ML models
- Allows tracking of datasets, experiments, models and deployments
- Version control and collaboration features
- Reproducibility of models and experiments
- Model monitoring and model drift detection
Pricing
- Open Source
Pros
Free and open source
Promotes collaboration between data scientists
Enables reproducibility and accountability
Built-in version control
Model monitoring helps detect drift
Cons
Limited integrations compared to commercial MLOps platforms
Less support available compared to paid options
Advanced features may require more configuration
Official Links
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