Apps with 'Data science' feature

R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.

RStudio™ is an integrated development environment (IDE) for R. RStudio combines an intuitive user interface with powerful coding tools to help you get the most out of R.

An IDE with massive concurrency support, exceptional speed, and minimal memory footprint. Perfect for data apps using Jupyter notebooks.

Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing. Includes 100+ of the most popular Python packages for science, math, engineering, data analysis. Cross platform on Linux, Windows, Mac.

LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

Orange is an open-source, cross-platform data mining and machine learning suite. It features visual programming as intuitive means of combining data analysis and interactive visualization methods into powerful workflows.

Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

Trusted by over 500,000 learners and developers, Zenva provides world-class training in programming and computer science. Our mission is to empower people to make a positive impact in the world through technology and games.

Briefer is the multiplayer notebook that lets you run SQL and Python, and turn notebooks into dashboards and data apps.

Curvenote is a collaborative writing tool designed for open-science and reproducibility. Create & edit technical content in real-time, including equations, references, figures, and interactive plots from Jupyter, then export to any journal template.

A free, next-generation data science IDE built by Posit PBC. An extensible, polyglot tool for writing code and exploring data. A familiar environment for reproducible authoring and publishing.

No Code Data Science in the browser.

Open source numerical computation tool enabling advanced statistical analysis, nonlinear fitting, ODE solving, and 1D/2D data visualization for research.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Polars is a highly performant DataFrame library for manipulating structured data. The core is written in Rust, but the library is also available in Python. Its key features are:

Enables visual full-stack web app creation using only Python code, featuring a browser-based drag-and-drop UI builder, one-click deployment, and open-source local hosting.

Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions.

Deepnote is a collaborative data science notebook built for teams that is shareable, Jupyter-compatible, and runs in the cloud.

TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.

Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch.

Oxylabs is the leading global provider of premium proxies and data scraping solutions for large-scale web intelligence collection.

Discover Erdos, the secure AI-native IDE that pairs Jupyter notebooks with an embedded assistant to edit code, surface documentation, and accelerate analysis.

Calmcode provides a calm way to learn about modern ideas in open-source code. Made by people who want to remedy the skill anxiety. Tools and thoughts that might make your professional life more enjoyable.

Paperspace wraps powerful technology in a simple interface that anyone can understand. Get a new computer in less than 5 minutes, zero configuration required

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