NannyML alternatives

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

Intersect Labs puts the world's most advanced algorithms in your hands with just three clicks. Make machine learning an easy, straightforward part of your workflow.

Openlayer is a powerful testing and observability platform for ML. It lets you collaborate with others on finding issues in models and data, debugging them, and committing new versions.

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From the makers of Lucidchart and Lucidspark, Lucidscale is the cloud visualization solution that helps organizations see, understand and optimize cloud environments, enabling technical and non-technical users to achieve better understanding and alignment.

Monitor ML tracks the performance of models throughout their lifecycle and connects them to business metrics. We support model tracking, metric logging/analysis/alerting and production event logging. You choose the framework, we monitor the model.

Aqueduct automates the engineering required to take data science to production. By abstracting away low-level cloud infrastructure, Aqueduct enables data teams to run models anywhere, publish predictions where they're needed, and monitor results reliably.

Today’s data stack was built for yesterday’s software engineers. Data scientists deserve their own tools. Magniv is an open-source Python library that lets data scientists deploy apps independently, without relying on support from software engineers.

Build and deploy ML models with ease using Semiring. Start with 5 data samples to craft datasets, fine-tune with our models, and deploy via a simple API. No ML know-how is needed.

Grab a CSV, upload it, and start exploring your data. Make graphs and analyze data without writing code.

No more coding needed, just add one line to your R script in which you call our magic shinify() function. Shinify automatically creates a shiny server and visual interface for you to interact with your machine learning or statistical model.

Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Advanced Data & ML Engineering.

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