Apps with 'Data science' feature Page 4 of 6

Thunder Compute offers a simple solution for AI and machine learning developers looking for cloud-based GPUs. It’s super easy to set up and cost-effective.

Meet Noteable, the truly collaborative notebook experience that eliminates the barriers between your data analytics and data science teams. Built by industry leaders. Battle-tested at the world’s largest tech companies.

Nextjournal is a multi-language notebook that was designed from the ground up to make complex Data Science painless.

Zepl helps organizations make smart, data-driven decisions through a powerful, collaborative data science analytics workspace.

The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.

Using 2 lines of code, track your Machine learning experiments (with both features and parameters used) while using python. Do this while working in the environment you are most comfortable in i.e Jupyter Notebook, Spyder, python script on command line.

The fastest and most powerful end-to-end platform for data science, machine learning and deep learning. Spell’s infrastructure and tools allow anyone to prepare, train, deploy, and manage machine learning projects.

Data Elixir helps data scientists and engineers stay current with the latest news and technologies. We track down the best data-related news, resources, and inspirations from around the web each week and publish the collection as a free newsletter.

The Elastica CloudSOC platform enables companies to confidently leverage cloud applications and services while staying safe, secure and compliant.

Odury is the ultimate no-code data science platform to turn your business data into value. Packed with powerful models to give you insights about your data, make predictions and divisions into clusters. And all of this without any coding or complex statistics.

Data Platform with superpower Transform data management and AI with our platform. Skip manual work, streamline workflows, and uncover insights to drive better decisions.

Connect remotely to a very powerful multi-GPU server to teach your neural network or any other data-science project.

Apex is an AI API Platform offering over 100 plug-and-play AI APIs to build powerful AI Agents and automate routine tasks, boosting productivity and streamlining complex processes.

An amazing and fast data exploration tool with many unique features like prediction tree, automatic charts, relation map and report (canvas).

Julius AI is an advanced data analysis tool that leverages artificial intelligence to interpret, analyze, and visualize complex data sets, simplifying data analysis for individuals lacking expertise in data science or statistics.

A peer to peer GPU computing platform for for HPC applications such as Machine learning and 3D design at upto 10X less cost. Get a GPU at the cost of a CPU.

Mage.ai is an open-source data pipeline tool designed to simplify the process of building, running, and maintaining machine learning and data workflows. With an intuitive interface, it allows users to create powerful pipelines for ETL (Extract, Transform, Load) processes, data...

Data labeling tool for various data types with a customizable interface, annotation team management, and automatic labeling through active learning.

Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from;...

To make AI accessible by enabling everyone, even novice users, to easily and affordably build, run and scale production-grade Machine Learning applications in minutes.

The interface mirrors git, but shines in many areas that git or git-lfs fall short. Oxen is built from the ground up for data, and is optimized to handle large datasets, and large files.

Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

We set out to create a straightforward, efficient solution for annotating large datasets. Right now, we're focused on computer vision, with NLP and LLM annotation support coming soon!

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. This project leverages DuckDB's WebAssembly (WASM) capabilities to provide a seamless and efficient user experience directly in the browser.